Read the Docs build information
Build id: 2803434
Project: datarobot-public-api-client
Version: v3.6.2
Commit: a7d467be2a4af214309573e00626057bfbb09250
Date: 2025-02-12T22:43:24.811585Z
State: finished
Success: True


[rtd-command-info] start-time: 2025-02-12T22:43:25.919176Z, end-time: 2025-02-12T22:43:29.145092Z, duration: 3, exit-code: 0
git clone --depth 1 git@github.com:datarobot/public_api_client.git .
Cloning into '.'...
Warning: Permanently added 'github.com' (ED25519) to the list of known hosts.

[rtd-command-info] start-time: 2025-02-12T22:43:29.214031Z, end-time: 2025-02-12T22:43:32.306246Z, duration: 3, exit-code: 0
git fetch origin --force --prune --prune-tags --depth 50 refs/tags/v3.6.2:refs/tags/v3.6.2
Warning: Permanently added 'github.com' (ED25519) to the list of known hosts.
From github.com:datarobot/public_api_client
 * [new tag]         v3.6.2         -> v3.6.2
 * [new tag]         latest-release -> latest-release
Warning: Permanently added 'github.com' (ED25519) to the list of known hosts.
 * [new tag]         v3.6.0         -> v3.6.0
 * [new tag]         v3.6.0rc0      -> v3.6.0rc0

[rtd-command-info] start-time: 2025-02-12T22:43:32.432519Z, end-time: 2025-02-12T22:43:32.936253Z, duration: 0, exit-code: 0
git checkout --force a7d467be2a4af214309573e00626057bfbb09250
Note: switching to 'a7d467be2a4af214309573e00626057bfbb09250'.

You are in 'detached HEAD' state. You can look around, make experimental
changes and commit them, and you can discard any commits you make in this
state without impacting any branches by switching back to a branch.

If you want to create a new branch to retain commits you create, you may
do so (now or later) by using -c with the switch command. Example:

  git switch -c <new-branch-name>

Or undo this operation with:

  git switch -

Turn off this advice by setting config variable advice.detachedHead to false

HEAD is now at a7d467b Make the version 3.6.2 (#3520)

[rtd-command-info] start-time: 2025-02-12T22:43:33.004840Z, end-time: 2025-02-12T22:43:33.055640Z, duration: 0, exit-code: 0
cat .readthedocs.yml
# .readthedocs.yml
# Read the Docs configuration file
# See https://docs.readthedocs.io/en/stable/config-file/v2.html for details

# Required
version: 2

# Build documentation in the docs/ directory with Sphinx
sphinx:
  configuration: sdk_docs/conf.py

# Build documentation with MkDocs
#mkdocs:
#  configuration: mkdocs.yml

# Optionally build your docs in additional formats such as PDF
formats:
  - pdf

# Optionally set the version of Python and requirements required to build your docs
python:
  install:
    - method: pip
      path: .
      extra_requirements:
        - dev

build:
  os: ubuntu-22.04
  tools:
    python: "3.11"

[rtd-command-info] start-time: 2025-02-12T22:43:38.621546Z, end-time: 2025-02-12T22:43:38.684439Z, duration: 0, exit-code: 0
asdf global python 3.11.10


[rtd-command-info] start-time: 2025-02-12T22:43:39.004358Z, end-time: 2025-02-12T22:43:39.880051Z, duration: 0, exit-code: 0
python -mvirtualenv $READTHEDOCS_VIRTUALENV_PATH
created virtual environment CPython3.11.10.final.0-64 in 606ms
  creator CPython3Posix(dest=/home/docs/checkouts/readthedocs.org/user_builds/datarobot-public-api-client/envs/v3.6.2, clear=False, no_vcs_ignore=False, global=False)
  seeder FromAppData(download=False, pip=bundle, setuptools=bundle, wheel=bundle, via=copy, app_data_dir=/home/docs/.local/share/virtualenv)
    added seed packages: pip==23.1, setuptools==67.6.1, wheel==0.40.0
  activators BashActivator,CShellActivator,FishActivator,NushellActivator,PowerShellActivator,PythonActivator

[rtd-command-info] start-time: 2025-02-12T22:43:39.947207Z, end-time: 2025-02-12T22:43:48.213791Z, duration: 8, exit-code: 0
python -m pip install --upgrade --no-cache-dir pip setuptools
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Installing collected packages: setuptools, pip
  Attempting uninstall: setuptools
    Found existing installation: setuptools 67.6.1
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      Successfully uninstalled setuptools-67.6.1
  Attempting uninstall: pip
    Found existing installation: pip 23.1
    Uninstalling pip-23.1:
      Successfully uninstalled pip-23.1
Successfully installed pip-25.0.1 setuptools-75.8.0

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python -m pip install --upgrade --no-cache-dir sphinx
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Installing collected packages: snowballstemmer, urllib3, sphinxcontrib-serializinghtml, sphinxcontrib-qthelp, sphinxcontrib-jsmath, sphinxcontrib-htmlhelp, sphinxcontrib-devhelp, sphinxcontrib-applehelp, Pygments, packaging, MarkupSafe, imagesize, idna, docutils, charset-normalizer, certifi, babel, alabaster, requests, Jinja2, sphinx
Successfully installed Jinja2-3.1.5 MarkupSafe-3.0.2 Pygments-2.19.1 alabaster-1.0.0 babel-2.17.0 certifi-2025.1.31 charset-normalizer-3.4.1 docutils-0.21.2 idna-3.10 imagesize-1.4.1 packaging-24.2 requests-2.32.3 snowballstemmer-2.2.0 sphinx-8.1.3 sphinxcontrib-applehelp-2.0.0 sphinxcontrib-devhelp-2.0.0 sphinxcontrib-htmlhelp-2.1.0 sphinxcontrib-jsmath-1.0.1 sphinxcontrib-qthelp-2.0.0 sphinxcontrib-serializinghtml-2.0.0 urllib3-2.3.0

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python -m pip install --upgrade --upgrade-strategy only-if-needed --no-cache-dir .[dev]
Processing /home/docs/checkouts/readthedocs.org/user_builds/datarobot-public-api-client/checkouts/v3.6.2
  Installing build dependencies: started
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Installing collected packages: webencodings, wcwidth, types-urllib3, types-PyYAML, types-pytz, types-python-dateutil, trafaret, strenum, pytz, py4j, pure-eval, ptyprocess, jupyter_highlight_selected_word, ipython_genutils, fastjsonschema, wrapt, websocket-client, webcolors, uri-template, tzdata, typing-extensions, types-requests, traitlets, tornado, tomlkit, tokenize-rt, tinycss2, tabulate, soupsieve, sniffio, six, send2trash, rpds-py, rfc3986-validator, pyzmq, pyyaml, python-json-logger, pyflakes, pyenchant, pycparser, pycodestyle, pyasn1, pyarrow, psutil, protobuf, prompt_toolkit, prometheus-client, pluggy, platformdirs, Pillow, pexpect, pathspec, parso, pandocfilters, overrides, numpy, nest-asyncio, mypy-extensions, mistune, mdurl, mccabe, lxml, lazy-object-proxy, jupyterlab-pygments, jsonpointer, json5, isort, iniconfig, h11, grpcio, fqdn, executing, dill, defusedxml, decorator, debugpy, coverage, click, cachetools, bleach, attrs, async-lru, asttokens, terminado, stack_data, rsa, rfc3339-validator, responses, requests_toolbelt, referencing, python-dateutil, pytest, pyasn1-modules, mypy, matplotlib-inline, markdown-it-py, jupyter_core, jedi, httpcore, googleapis-common-protos, flake8, comm, cffi, black, beautifulsoup4, astroid, anyio, sphinxcontrib-spelling, sphinxcontrib-jquery, sphinx-markdown-builder, sphinx-copybutton, sphinx-autodoc-typehints, pytest-cov, pytest-asyncio, pylint, pandas, numpydoc, mdit-py-plugins, jupyter-server-terminals, jupyter-client, jsonschema-specifications, ipython, httpx, grpcio-status, google-auth, arrow, argon2-cffi-bindings, sphinx_rtd_theme, myst-parser, jsonschema, isoduration, ipykernel, datarobot, databricks-sdk, argon2-cffi, nbformat, databricks-connect, nbclient, jupyter-events, nbconvert, nbsphinx, jupyter-server, notebook-shim, jupyterlab-server, jupyter-lsp, jupyterlab, notebook, jupyter_contrib_core, jupyter_nbextensions_configurator, jupyter_contrib_nbextensions
Successfully installed Pillow-10.4.0 anyio-4.8.0 argon2-cffi-23.1.0 argon2-cffi-bindings-21.2.0 arrow-1.3.0 astroid-2.13.5 asttokens-3.0.0 async-lru-2.0.4 attrs-25.1.0 beautifulsoup4-4.13.3 black-24.4.2 bleach-6.2.0 cachetools-5.5.1 cffi-1.17.1 click-8.1.8 comm-0.2.2 coverage-7.6.12 databricks-connect-16.1.0 databricks-sdk-0.44.0 datarobot-3.6.2 debugpy-1.8.12 decorator-5.1.1 defusedxml-0.7.1 dill-0.3.9 executing-2.2.0 fastjsonschema-2.21.1 flake8-5.0.4 fqdn-1.5.1 google-auth-2.38.0 googleapis-common-protos-1.67.0 grpcio-1.70.0 grpcio-status-1.70.0 h11-0.14.0 httpcore-1.0.7 httpx-0.28.1 iniconfig-2.0.0 ipykernel-6.29.5 ipython-8.32.0 ipython_genutils-0.2.0 isoduration-20.11.0 isort-5.10.1 jedi-0.19.2 json5-0.10.0 jsonpointer-3.0.0 jsonschema-4.23.0 jsonschema-specifications-2024.10.1 jupyter-client-8.6.3 jupyter-events-0.12.0 jupyter-lsp-2.2.5 jupyter-server-2.15.0 jupyter-server-terminals-0.5.3 jupyter_contrib_core-0.4.2 jupyter_contrib_nbextensions-0.7.0 jupyter_core-5.7.2 jupyter_highlight_selected_word-0.2.0 jupyter_nbextensions_configurator-0.6.4 jupyterlab-4.3.5 jupyterlab-pygments-0.3.0 jupyterlab-server-2.27.3 lazy-object-proxy-1.10.0 lxml-5.3.1 markdown-it-py-3.0.0 matplotlib-inline-0.1.7 mccabe-0.7.0 mdit-py-plugins-0.4.2 mdurl-0.1.2 mistune-3.1.1 mypy-1.0.0 mypy-extensions-1.0.0 myst-parser-4.0.0 nbclient-0.10.2 nbconvert-7.16.6 nbformat-5.10.4 nbsphinx-0.9.6 nest-asyncio-1.6.0 notebook-7.3.2 notebook-shim-0.2.4 numpy-1.26.4 numpydoc-1.7.0 overrides-7.7.0 pandas-2.2.3 pandocfilters-1.5.1 parso-0.8.4 pathspec-0.12.1 pexpect-4.9.0 platformdirs-4.3.6 pluggy-1.5.0 prometheus-client-0.21.1 prompt_toolkit-3.0.50 protobuf-5.29.3 psutil-6.1.1 ptyprocess-0.7.0 pure-eval-0.2.3 py4j-0.10.9.7 pyarrow-19.0.0 pyasn1-0.6.1 pyasn1-modules-0.4.1 pycodestyle-2.9.1 pycparser-2.22 pyenchant-3.2.2 pyflakes-2.5.0 pylint-2.15.0 pytest-7.3.0 pytest-asyncio-0.21.1 pytest-cov-6.0.0 python-dateutil-2.9.0.post0 python-json-logger-3.2.1 pytz-2025.1 pyyaml-6.0.2 pyzmq-26.2.1 referencing-0.36.2 requests_toolbelt-1.0.0 responses-0.21.0 rfc3339-validator-0.1.4 rfc3986-validator-0.1.1 rpds-py-0.22.3 rsa-4.9 send2trash-1.8.3 six-1.17.0 sniffio-1.3.1 soupsieve-2.6 sphinx-autodoc-typehints-3.0.1 sphinx-copybutton-0.5.2 sphinx-markdown-builder-0.6.8 sphinx_rtd_theme-3.0.2 sphinxcontrib-jquery-4.1 sphinxcontrib-spelling-8.0.0 stack_data-0.6.3 strenum-0.4.15 tabulate-0.9.0 terminado-0.18.1 tinycss2-1.4.0 tokenize-rt-6.1.0 tomlkit-0.13.2 tornado-6.4.2 trafaret-2.1.1 traitlets-5.14.3 types-PyYAML-6.0.12 types-python-dateutil-2.8.19 types-pytz-2022.2.1.0 types-requests-2.28.11 types-urllib3-1.26.25 typing-extensions-4.12.2 tzdata-2025.1 uri-template-1.3.0 wcwidth-0.2.13 webcolors-24.11.1 webencodings-0.5.1 websocket-client-1.8.0 wrapt-1.17.2

[rtd-command-info] start-time: 2025-02-12T22:44:28.123036Z, end-time: 2025-02-12T22:44:28.171602Z, duration: 0, exit-code: 0
cat sdk_docs/conf.py
#
# Copyright 2021 DataRobot, Inc. and its affiliates.
#
# All rights reserved.
#
# DataRobot, Inc.
#
# This is proprietary source code of DataRobot, Inc. and its
# affiliates.
#
# Released under the terms of DataRobot Tool and Utility Agreement.
#
# DataRobot Python API documentation build configuration file, created by
# sphinx-quickstart on Mon Mar 16 10:50:19 2015.
#
# This file is execfile()d with the current directory set to its containing dir.
#
# Note that not all possible configuration values are present in this
# autogenerated file.
#
# All configuration values have a default; values that are commented out
# serve to show the default.
import os
import shutil
import sys

from sphinx.application import Sphinx
from sphinx_markdown_builder.translator import MarkdownTranslator

sys.path.insert(0, os.path.abspath("."))
from utils import (  # noqa
    better_versionmodified,
    depart_admonition,
    depart_desc_signature,
    visit_admonition,
)

sys.path.insert(0, os.path.abspath(".."))
from datarobot import __version__ as version  # noqa

# Make sure magic 'tags' field is defined.
# (Not actually useful but makes Cython and pylint errors go away.)
if "tags" not in locals():
    tags = None
if tags is not None and "b" in version:
    # mainline quarterly releases never have the beta "b" in the version, only internal & weekly do
    tags.add("include_experimental_docs")

# Copy the changelog to the docs directory so sphinx will include it
root_dir = os.path.abspath(os.path.dirname(os.path.dirname(__file__)))
changelog_path = os.path.join(root_dir, "CHANGES.md")
dest_path = os.path.join(root_dir, "sdk_docs", "CHANGES.md")
assert os.path.isfile(changelog_path)
shutil.copyfile(changelog_path, dest_path)

# -- General configuration -----------------------------------------------------

# If your documentation needs a minimal Sphinx version, state it here.
needs_sphinx = "8.1.3"

# Add any Sphinx extension module names here, as strings. They can be extensions
# coming with Sphinx (named 'sphinx.ext.*') or your custom ones.
extensions = [
    "sphinxcontrib.spelling",
    "sphinx.ext.autodoc",
    "sphinx.ext.napoleon",
    "sphinx.ext.autosummary",
    "sphinx.ext.doctest",
    "numpydoc",
    "sphinx.ext.intersphinx",
    "nbsphinx",
    "sphinx_markdown_builder",
    "sphinx.ext.intersphinx",
    "sphinx_autodoc_typehints",
    "myst_parser",
    "sphinx_copybutton",
]

myst_enable_extensions = [
    "amsmath",
    "attrs_inline",
    "colon_fence",
    "deflist",
    "dollarmath",
    "fieldlist",
    "html_admonition",
    "html_image",
    # "linkify",
    "replacements",
    "smartquotes",
    "strikethrough",
    "substitution",
    "tasklist",
]
# AUTODOC SETUP
# MyST options
myst_heading_anchors = 3
myst_heading_level_offset = 1
autosummary_generate = False
autodoc_class_signature = "separated"

autodoc_default_options = {
    "exclude-members": "__init__, schema, __new__, __init_subclass__",
    "undoc-members": False,
    "private-members": False,
    "special-members": False,
    "show-inheritance": False,
}

autodoc_member_order = "bysource"

# NAPOLEON SETUP
napoleon_numpy_docstring = True
napoleon_use_param = True
napoleon_use_keyword = True
napoleon_use_rtype = True
napoleon_use_ivar = True
napoleon_preprocess_types = True
napoleon_attr_annotations = False
napoleon_use_admonition_for_examples = True
napoleon_use_admonition_for_notes = True
napoleon_use_admonition_for_references = True
# make warnings go away- as advised by
# https://github.com/phn/pytpm/issues/3#issuecomment-12133978
numpydoc_show_class_members = False

nbsphinx_execute = "never"

# Add any paths that contain templates here, relative to this directory.
templates_path = ["_templates"]

# The suffix of source filenames.
source_suffix = {
    ".rst": "restructuredtext",
    ".md": "markdown",
}

# TODO: Cleanup all errors and warnings ATM supress some of them
# # Suppress specific warnings
suppress_warnings = [
    "ref.python",
    "ref.class",
    "ref.exc",
    "ref.meth",
    "autodoc",
]  # Suppress warnings about missing references

# Showing automatically documented members in same order as they are in source

# The encoding of source files.
# source_encoding = 'utf-8-sig'

# The master toctree document.
master_doc = "index"

# The version info for the project you're documenting, acts as replacement for
# |version| and |release|, also used in various other places throughout the
# built documents.
#
# Thes are both the full X.Y.Z version, including alpha/beta/rc tags.
# We think Sphinx probably wants both to be defined.
release = version

project = "DataRobot Python Client"
copyright = "2019, DataRobot, Inc"


# The language for content autogenerated by Sphinx. Refer to documentation
# for a list of supported languages.
# language = None

# There are two options for replacing |today|: either, you set today to some
# non-false value, then it is used:
# today = ''
# Else, today_fmt is used as the format for a strftime call.
# today_fmt = '%B %d, %Y'

# List of patterns, relative to source directory, that match files and
# directories to ignore when looking for source files.
exclude_patterns = ["_build", "**/.ipynb_checkpoints"]

# The reST default role (used for this markup: `text`) to use for all documents.
# default_role = None

# If true, '()' will be appended to :func: etc. cross-reference text.
# add_function_parentheses = True

# If true, the current module name will be prepended to all description
# unit titles (such as .. function::).
# add_module_names = True

# If true, sectionauthor and moduleauthor directives will be shown in the
# output. They are ignored by default.
# show_authors = False

# The name of the Pygments (syntax highlighting) style to use.
pygments_style = "sphinx"

# A list of ignored prefixes for module index sorting.
# modindex_common_prefix = []


# -- Options for HTML output ---------------------------------------------------

# The theme to use for HTML and HTML Help pages.  See the documentation for
# a list of builtin themes.

html_theme = "sphinx_rtd_theme"

# Theme options are theme-specific and customize the look and feel of a theme
# further.  For a list of options available for each theme, see the
# documentation.
# html_theme_options = {}

# Add any paths that contain custom themes here, relative to this directory.
# html_theme_path = []

# The name for this set of Sphinx documents.  If None, it defaults to
# "<project> v<release> documentation".
# html_title = None

# A shorter title for the navigation bar.  Default is the same as html_title.
# html_short_title = None

# The name of an image file (relative to this directory) to place at the top
# of the sidebar.
# html_logo = None

# The name of an image file (within the static path) to use as favicon of the
# docs.  This file should be a Windows icon file (.ico) being 16x16 or 32x32
# pixels large.
# html_favicon = None

# Add any paths that contain custom static files (such as style sheets) here,
# relative to this directory. They are copied after the builtin static files,
# so a file named "default.css" will overwrite the builtin "default.css".
html_static_path = ["_static"]
html_extra_path = ["_html"]

# If not '', a 'Last updated on:' timestamp is inserted at every page bottom,
# using the given strftime format.
# html_last_updated_fmt = '%b %d, %Y'

# If true, SmartyPants will be used to convert quotes and dashes to
# typographically correct entities.
# html_use_smartypants = True

# Custom sidebar templates, maps document names to template names.
# html_sidebars = {}

# Additional templates that should be rendered to pages, maps page names to
# template names.
# html_additional_pages = {}

# If false, no module index is generated.
# html_domain_indices = True

# If false, no index is generated.
# html_use_index = True

# If true, the index is split into individual pages for each letter.
# html_split_index = False

# If true, links to the reST sources are added to the pages.
# html_show_sourcelink = True

# If true, "Created using Sphinx" is shown in the HTML footer. Default is True.
# html_show_sphinx = True

# If true, "(C) Copyright ..." is shown in the HTML footer. Default is True.
# html_show_copyright = True

# If true, an OpenSearch description file will be output, and all pages will
# contain a <link> tag referring to it.  The value of this option must be the
# base URL from which the finished HTML is served.
# html_use_opensearch = ''

# This is the file name suffix for HTML files (e.g. ".xhtml").
# html_file_suffix = None

# Output file base name for HTML help builder.
htmlhelp_basename = "DataRobotPythonDoc"


# -- Options for Markdown output -----------------------------------------------
# Adapted from https://github.com/liran-funaro/sphinx-markdown-builder?tab=readme-ov-file#configurations

# If set to True, then anchors will be added before each section/function/class signature.
# This allows references to a specific anchor in the document.
# markdown_anchor_sections: True
# markdown_anchor_signatures: True

# If set to True, adds metadata to the top of each document containing author, copyright,
# and version.
markdown_docinfo: True

# If set, all references will link to this prefix address.
# markdown_http_base: "https://your-domain.com/docs"

# If set, all references will link to documents with this suffix.
# markdown_uri_doc_suffix: ".html"

# -- Options for LaTeX output --------------------------------------------------

# latex_elements = {
#     The paper size ('letterpaper' or 'a4paper').
#     'papersize': 'letterpaper',

#     The font size ('10pt', '11pt' or '12pt').
#     'pointsize': '10pt',

#     Additional stuff for the LaTeX preamble.
#     'preamble': '',
# }

fh = open("latex_preamble.tex", "r+")
PREAMBLE = fh.read()
fh.close()
latex_elements = {
    "inputenc": "",
    "utf8extra": "",
    "preamble": PREAMBLE,
}

# Grouping the document tree into LaTeX files. List of tuples
# (source start file, target name, title, author, documentclass [howto/manual]).
latex_documents = [
    (
        "index",
        f"DataRobotPython_{version}_Docs.tex",
        "DataRobot Python API Documentation",
        "DataRobot, Inc.",
        "manual",
    ),
]

# The name of an image file (relative to this directory) to place at the top of
# the title page.
# latex_logo = None

# For "manual" documents, if this is true, then toplevel headings are parts,
# not chapters.
# latex_use_parts = False

# If true, show page references after internal links.
# latex_show_pagerefs = False

# If true, show URL addresses after external links.
# latex_show_urls = False

# Documents to append as an appendix to all manuals.
# latex_appendices = []

# If false, no module index is generated.
# latex_domain_indices = True


# -- Options for manual page output --------------------------------------------

# One entry per manual page. List of tuples
# (source start file, name, description, authors, manual section).
man_pages = [
    ("index", "datarobotpython", "DataRobot Python API Documentation", ["DataRobot, Inc."], 1)
]

# If true, show URL addresses after external links.
# man_show_urls = False


# -- Options for Texinfo output ------------------------------------------------

# Grouping the document tree into Texinfo files. List of tuples
# (source start file, target name, title, author,
#  dir menu entry, description, category)
texinfo_documents = [
    (
        "index",
        "DataRobotPython",
        "DataRobot Python API Documentation",
        "DataRobot, Inc.",
        "DataRobotPython",
        "One line description of project.",
        "Miscellaneous",
    ),
]

# Documents to append as an appendix to all manuals.
# texinfo_appendices = []

# If false, no module index is generated.
# texinfo_domain_indices = True

# How to display URL addresses: 'footnote', 'no', or 'inline'.
# texinfo_show_urls = 'footnote'

# Nitpick targets to ignore:
# These are third-party packages that don't expose documentation for sphinx to link

nitpick_ignore = [
    ("py:data", "typing.Tuple"),
    ("py:data", "typing.Optional"),
    ("py:data", "typing.Union"),
    ("py:data", "typing.NoReturn"),
    ("py:data", "typing.Any"),
    ("py:class", "typing.Self"),
    ("py:class", "pandas.core.frame.DataFrame"),
    ("py:class", "requests.models.Response"),
    ("py:class", "datetime.datetime"),
    ("py:class", "PIL.Image.Image"),
    ("py:class", "collections.OrderedDict"),
]

# options for spelling
spelling_ignore_contributor_names = False
spelling_add_pypi_package_names = True
spelling_ignore_importable_modules = True
spelling_ignore_python_builtins = True
spelling_ignore_wiki_words = True
spelling_filters = [
    "sdk_docs.spelling_filters.filters.DocstringFilePathFilter",
    "sdk_docs.spelling_filters.filters.TypeAnnotationFilter",
    "sdk_docs.spelling_filters.filters.CamelCaseFilter",
    "sdk_docs.spelling_filters.filters.SortOrderFilter",
    "sdk_docs.spelling_filters.filters.OrdinalFilter",
    "sdk_docs.spelling_filters.filters.ObjectIdFilter",
    "sdk_docs.spelling_filters.filters.DayMonthFilter",
    "sdk_docs.spelling_filters.filters.DataRobotParameterFilter",
]


def setup(app: Sphinx) -> None:
    MarkdownTranslator.visit_versionmodified = better_versionmodified
    # overwrite level of rubric to match markdown
    MarkdownTranslator.visit_admonition = visit_admonition
    MarkdownTranslator.depart_admonition = depart_admonition
    MarkdownTranslator.depart_desc_signature = depart_desc_signature

    app.add_css_file("css/tight_table.css")

[rtd-command-info] start-time: 2025-02-12T22:44:28.246519Z, end-time: 2025-02-12T22:45:23.221579Z, duration: 54, exit-code: 0
python -m sphinx -T -b html -d _build/doctrees -D language=en . $READTHEDOCS_OUTPUT/html
Running Sphinx v8.1.3
loading translations [en]... done
Initializing Spelling Checker 8.0.0
making output directory... done
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myst v4.0.0: MdParserConfig(commonmark_only=False, gfm_only=False, enable_extensions={'fieldlist', 'html_admonition', 'colon_fence', 'html_image', 'amsmath', 'attrs_inline', 'deflist', 'smartquotes', 'replacements', 'tasklist', 'dollarmath', 'strikethrough', 'substitution'}, disable_syntax=[], all_links_external=False, links_external_new_tab=False, url_schemes=('http', 'https', 'mailto', 'ftp'), ref_domains=None, fence_as_directive=set(), number_code_blocks=[], title_to_header=False, heading_anchors=3, heading_slug_func=None, html_meta={}, footnote_sort=True, footnote_transition=True, words_per_minute=200, substitutions={}, linkify_fuzzy_links=True, dmath_allow_labels=True, dmath_allow_space=True, dmath_allow_digits=True, dmath_double_inline=False, update_mathjax=True, mathjax_classes='tex2jax_process|mathjax_process|math|output_area', enable_checkboxes=False, suppress_warnings=[], highlight_code_blocks=True)
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Writing evaluated template result to /home/docs/checkouts/readthedocs.org/user_builds/datarobot-public-api-client/checkouts/v3.6.2/_readthedocs/html/_static/language_data.js
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dumping search index in English (code: en)... done
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build succeeded.

The HTML pages are in ../_readthedocs/html.

[rtd-command-info] start-time: 2025-02-12T22:45:23.303373Z, end-time: 2025-02-12T22:45:55.822725Z, duration: 32, exit-code: 0
python -m sphinx -T -b latex -d _build/doctrees -D language=en . $READTHEDOCS_OUTPUT/pdf
Running Sphinx v8.1.3
loading translations [en]... done
Initializing Spelling Checker 8.0.0
making output directory... done
loading pickled environment... The configuration has changed (5 options: 'html_permalinks_icon', 'html_static_path', 'jquery_use_sri', 'nbsphinx_requirejs_options', 'nbsphinx_requirejs_path')
done
myst v4.0.0: MdParserConfig(commonmark_only=False, gfm_only=False, enable_extensions={'dollarmath', 'smartquotes', 'html_image', 'amsmath', 'fieldlist', 'attrs_inline', 'deflist', 'tasklist', 'strikethrough', 'replacements', 'substitution', 'colon_fence', 'html_admonition'}, disable_syntax=[], all_links_external=False, links_external_new_tab=False, url_schemes=('http', 'https', 'mailto', 'ftp'), ref_domains=None, fence_as_directive=set(), number_code_blocks=[], title_to_header=False, heading_anchors=3, heading_slug_func=None, html_meta={}, footnote_sort=True, footnote_transition=True, words_per_minute=200, substitutions={}, linkify_fuzzy_links=True, dmath_allow_labels=True, dmath_allow_space=True, dmath_allow_digits=True, dmath_double_inline=False, update_mathjax=True, mathjax_classes='tex2jax_process|mathjax_process|math|output_area', enable_checkboxes=False, suppress_warnings=[], highlight_code_blocks=True)
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preparing documents... done
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copying TeX support files... Writing evaluated template result to /home/docs/checkouts/readthedocs.org/user_builds/datarobot-public-api-client/checkouts/v3.6.2/_readthedocs/pdf/make.bat
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copying assets: done
processing DataRobotPython_3.6.2_Docs.tex... 
index
 reference/index
  reference/data/index
   reference/data/dataset
   reference/data/database_connectivity
   reference/data/feature_discovery
  reference/modeling/index
   reference/modeling/project
   reference/modeling/model
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    reference/modeling/spec/unsupervised_anomaly
    reference/modeling/spec/unsupervised_clustering
    reference/modeling/spec/segmented_modeling
    reference/modeling/spec/custom_task
    reference/modeling/spec/monotonic_constraints
    reference/modeling/spec/binary_data
   reference/modeling/insights/index
    reference/modeling/insights/prediction_explanations
    reference/modeling/insights/rating_table
    reference/modeling/insights/automated_documentation
    reference/modeling/insights/external_testset
    reference/modeling/insights/shap_insights
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   reference/mlops/custom_model
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   reference/mlops/model_registry
   reference/mlops/key_values
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cat latexmkrc
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$makeindex = 'makeindex -s python.ist %O -o %D %S';
add_cus_dep( "glo", "gls", 0, "makeglo" );
sub makeglo {
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}

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[967] [968] [969]
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n/10 ServerError \T1/qtm/m/n/10 oc-curs dur-ing a call to \T1/txtt/m/n/10 Proje
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[971] [972] [973] [974]

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share/texlive/texmf-dist/fonts/type1/public/txfonts/tcxbtt.pfb></usr/share/texl
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Output written on datarobot-public-api-client.pdf (979 pages, 4289588 bytes).
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Chapter 1.
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[][][]\T1/txtt/m/sl/10 Dataset.create_from_data_source[][] \T1/qtm/m/n/10 takes
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[]\T1/qtm/m/n/10 For mul-ti-class mod-els, you can get a list of per-class lift
 charts us-ing the \T1/txtt/m/n/10 Model \T1/qtm/m/n/10 method

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\T1/qtm/m/n/10 Just as with the lift and ROC charts, you can use \T1/txtt/m/n/1
0 Model \T1/qtm/m/n/10 meth-ods \T1/txtt/m/n/10 get_residuals_chart \T1/qtm/m/n
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\T1/qtm/m/n/10 and \T1/txtt/m/n/10 validation_start_date\T1/qtm/m/n/10 . Us-ing
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0 . You can also re-trieve the de-tailed meta-data us-ing
[41] [42] [43] [44]
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[]\T1/qtm/m/n/10 Enough rows of his-tor-i-cal data must be pro-vided to cover t
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[]\T1/qtm/m/n/10 Pre-dic-tion in-ter-vals can be cal-cu-lated for a [][]\T1/txt
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timeModel.
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[54] [55] [56 <./sample1.png> <./sample2.png>] [57 <./activation_map1.png>]
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[]\T1/qtm/m/n/10 1. Up-load a pre-dic-tion dataset, spec-i-fy-ing \T1/txtt/m/n/
10 predictions_start_date\T1/qtm/m/n/10 , \T1/txtt/m/n/10 predictions_end_date\
T1/qtm/m/n/10 , and

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[]\T1/qtm/m/n/10 Up-load a pre-dic-tion dataset that con-tains la-bel col-umn(s
), re-quest com-pute ex-ter-nal test on one of
[64] [65] [66] [67] [68] [69] [70] [71]

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l.5088 ...gment\PYGZus{}id}\PYG{l+s+s2}{\PYGZdq{}}
                                                  

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l.5088 ...gment\PYGZus{}id}\PYG{l+s+s2}{\PYGZdq{}}
                                                  
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l.5701     ├── images
                           

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l.5705     ├── data.csv
                             

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l.5705     ├── data.csv
                             
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[]\T1/txtt/m/n/10 PredictionExplanations.get_all_as_dataframe() \T1/qtm/m/n/10 
and \T1/txtt/m/n/10 PredictionExplanations.
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\T1/qtm/m/n/10 If you just want to get gen-er-ated pre-dic-tions from a Pre-dic
-tJob, you can use the \T1/txtt/m/n/10 PredictJob.
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[]\T1/qtm/m/n/10 In or-der to sched-ule the ex-e-cu-tion of a Batch Pre-dic-tio
n job, a def-i-ni-tion must first be cre-ated, us-
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[]\T1/qtm/m/n/10 Job def-i-ni-tions are only be ex-e-cuted by the sched-uler if
 \T1/txtt/m/n/10 enabled \T1/qtm/m/n/10 is set to \T1/txtt/m/n/10 True\T1/qtm/m
/n/10 . If you have a

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 job, but should now be stopped, sim-ply

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[]\T1/qtm/m/n/10 When cre-at-ing a new de-ploy-ment, a DataRobot \T1/txtt/m/n/1
0 registered_model_version_id \T1/qtm/m/n/10 (also known as
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\T1/qtm/m/n/10 of [][]\T1/txtt/m/sl/10 datarobot.models.deployment.DeploymentGr
antSharedRoleWithId[][] \T1/qtm/m/n/10 and [][]\T1/txtt/m/sl/10 datarobot.model
s.
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[]\T1/qtm/m/n/10 For deployment-specific met-rics, do not pro-vide model in-for
-ma-tion. For model spe-cific met-rics set
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[]\T1/qtm/m/n/10 Re-fer to [][]\T1/txtt/m/sl/10 ExecutionEnvironment[][] \T1/qt
m/m/n/10 for prop-er-ties of the ex-e-cu-tion en-vi-ron-ment ob-ject and
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[]\T1/qtm/m/n/10 When cre-at-ing a bi-nary clas-si-fi-ca-tion Cus-tom In-fer-en
ce Model, \T1/txtt/m/n/10 positive_class_label \T1/qtm/m/n/10 and
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[]\T1/qtm/m/n/10 cus-tom_model.update(is_training_data_for_versions_permanently
_enabled=True) cus-
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[]\T1/qtm/m/n/10 To cre-ate a hosted cus-tom met-ric job from gallery tem-plate
, use \T1/txtt/m/n/10 dr.registry.Job.
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[]\T1/qtm/m/n/10 You can also fil-ter the reg-is-tered model ver-sions that are
 re-turned by pass-ing an in-stance of the
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[]\T1/qtm/m/n/10 Use Cases sup-port \T1/txtt/m/n/10 SHARING_ROLE.OWNER\T1/qtm/m
/n/10 , \T1/txtt/m/n/10 SHARING_ROLE.EDITOR\T1/qtm/m/n/10 , \T1/txtt/m/n/10 SHA
RING_ROLE.CONSUMER \T1/qtm/m/n/10 and

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[194]
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[][][]\T1/qtm/m/it/10 Ad-min-is-tra-
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[]\T1/txtt/bx/n/10 consider_blenders_in_recommendation \T1/qtm/m/n/10 (\T1/txtt
/m/n/10 Optional[bool]\T1/qtm/m/n/10 ) ^^U (New in ver-sion

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[]\T1/txtt/bx/n/10 fairness_metrics_set \T1/qtm/m/n/10 (\T1/txtt/m/n/10 Optiona
l[str].\T1/qtm/m/n/10 ) ^^U (New in ver-sion v2.24) Met-

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\T1/qtm/m/n/10 ric to use for cal-cu-lat-ing fair-ness. Can be one of \T1/txtt/
m/n/10 proportionalParity\T1/qtm/m/n/10 ,
[197]
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[]\T1/txtt/bx/n/10 bias_mitigation_technique \T1/qtm/m/n/10 (\T1/txtt/m/n/10 Op
tional[str]\T1/qtm/m/n/10 ) ^^U One of

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\T1/qtm/m/n/10 datarobot.enums.BiasMitigationTechnique Op-tions: - `pre-pro-ces
s-in-gReweigh-ing' -

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[]\T1/txtt/bx/n/10 default_monotonic_increasing_featurelist_id \T1/qtm/m/n/10 (
\T1/txtt/m/n/10 Optional[str]\T1/qtm/m/n/10 ) ^^U Re-turned

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[]\T1/txtt/bx/n/10 default_monotonic_decreasing_featurelist_id \T1/qtm/m/n/10 (
\T1/txtt/m/n/10 Optional[str]\T1/qtm/m/n/10 ) ^^U Re-turned

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[]\T1/txtt/bx/n/10 number_of_incremental_learning_iterations_before_best_model_
selection
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[]\T1/qtm/b/n/10 pa-ram-e-ters \T1/qtm/m/n/10 (\T1/txtt/m/n/10 dict\T1/qtm/m/n/
10 ) ^^U ^^PPa-ram-e-ters^^Q dic-tio-nary, same as spec-i-fied on
[200]
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[]\T1/txtt/bx/n/10 status \T1/qtm/m/n/10 (\T1/txtt/m/n/10 str\T1/qtm/m/n/10 ) ^
^U The sta-tus of the in-sight. One of \T1/txtt/m/n/10 datarobot.enums.
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[]\T1/txtt/m/n/10 List \T1/qtm/m/n/10 of \T1/txtt/m/n/10 AutomatedDocument obje
cts\T1/qtm/m/n/10 , \T1/txtt/m/n/10 where each object contains
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[]\T1/txtt/bx/n/10 source_url \T1/qtm/m/n/10 (\T1/txtt/m/n/10 str\T1/qtm/m/n/10
 ) ^^U The URL for the pre-dic-tion dataset (e.g.:

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[]\T1/txtt/bx/n/10 destination_url \T1/qtm/m/n/10 (\T1/txtt/m/n/10 str\T1/qtm/m
/n/10 ) ^^U The URL for the scored dataset (e.g.:
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[]\T1/txtt/bx/n/10 source_url \T1/qtm/m/n/10 (\T1/txtt/m/n/10 str\T1/qtm/m/n/10
 ) ^^U The URL for the pre-dic-tion dataset (e.g.:

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[]\T1/txtt/bx/n/10 destination_url \T1/qtm/m/n/10 (\T1/txtt/m/n/10 str\T1/qtm/m
/n/10 ) ^^U The URL for the scored dataset (e.g.:
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[]\T1/qtm/m/n/10 par-ti-tion : sub-set of train-ing data to score, one of \T1/t
xtt/m/n/10 datarobot.enums.
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\T1/qtm/m/it/10 tinue_on_error=False\T1/qtm/m/n/10 , 

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\T1/qtm/m/it/10 tinue_on_error=False\T1/qtm/m/n/10 , 
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\T1/qtm/m/it/10 tinue_on_error=False\T1/qtm/m/n/10 , 
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[]\T1/txtt/m/n/10 [ [ True Negative, False Positive ], [ False Negative, True P
ositive
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[]\T1/txtt/bx/n/10 kwargs \T1/qtm/m/n/10 (\T1/txtt/m/n/10 Keyword arguments spe
cific \T1/qtm/m/n/10 to \T1/txtt/m/n/10 the given credential_type that
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[]\T1/txtt/bx/n/10 time_step \T1/qtm/m/n/10 (\T1/txtt/m/n/10 Optional[CustomMet
ricBucketTimeStep]\T1/qtm/m/n/10 ) ^^U Cus-tom met-ric time
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[]\T1/txtt/bx/n/10 metric_type \T1/qtm/m/n/10 (\T1/txtt/m/n/10 Optional[HostedC
ustomMetricsTemplateMetricTypeQueryParams]\T1/qtm/m/n/10 )
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\T1/qtm/m/n/10 Cre-ate a hosted cus-tom met-ric from a tem-plate. A short-cut f
or 2 calls:
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\T1/qtm/m/it/10 datarobot.TARGET_TYPE.MULTICLASS\T1/qtm/m/n/10 , \T1/qtm/m/it/1
0 datarobot.TARGET_TYPE.UNSTRUCTURED\T1/qtm/m/n/10 ,

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[]\T1/txtt/bx/n/10 network_egress_policy \T1/qtm/m/n/10 (\T1/txtt/m/n/10 dataro
bot.NETWORK_EGRESS_POLICY\T1/qtm/m/n/10 , \T1/qtm/m/it/10 op-tional\T1/qtm/m/n/
10 )

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\T1/qtm/m/n/10 ^^U De-ter-mines whether the given cus-tom model is iso-lated, o
r can ac-cess the

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\T1/qtm/m/n/10 pub-lic net-work. Val-ues: [\T1/qtm/m/it/10 datarobot.NETWORK_EG
RESS_POLICY.NONE\T1/qtm/m/n/10 ,

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[]\T1/txtt/bx/n/10 is_training_data_for_versions_permanently_enabled \T1/qtm/m/
n/10 (\T1/txtt/m/n/10 Optional[bool]\T1/qtm/m/n/10 ) ^^U
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[]\T1/txtt/bx/n/10 target_type \T1/qtm/m/n/10 (\T1/txtt/m/n/10 datarobot.TARGET
_TYPE\T1/qtm/m/n/10 ) ^^U Tar-get type of the cus-

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\T1/qtm/m/n/10 tom in-fer-ence model. Val-ues: [\T1/qtm/m/it/10 datarobot.TARGE
T_TYPE.BINARY\T1/qtm/m/n/10 ,

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\T1/qtm/m/it/10 datarobot.TARGET_TYPE.REGRESSION\T1/qtm/m/n/10 , \T1/qtm/m/it/1
0 datarobot.TARGET_TYPE.MULTICLASS\T1/qtm/m/n/10 ,

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\T1/qtm/m/it/10 datarobot.TARGET_TYPE.UNSTRUCTURED\T1/qtm/m/n/10 , \T1/qtm/m/it
/10 datarobot.TARGET_TYPE.TEXT_GENERATION\T1/qtm/m/n/10 ] 

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[]\T1/txtt/bx/n/10 network_egress_policy \T1/qtm/m/n/10 (\T1/txtt/m/n/10 dataro
bot.NETWORK_EGRESS_POLICY\T1/qtm/m/n/10 , \T1/qtm/m/it/10 op-tional\T1/qtm/m/n/
10 )

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\T1/qtm/m/n/10 ^^U De-ter-mines whether the given cus-tom model is iso-lated, o
r can ac-cess the

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\T1/qtm/m/n/10 pub-lic net-work. Val-ues: [\T1/qtm/m/it/10 datarobot.NETWORK_EG
RESS_POLICY.NONE\T1/qtm/m/n/10 ,

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[]\T1/txtt/bx/n/10 is_training_data_for_versions_permanently_enabled \T1/qtm/m/
n/10 (\T1/txtt/m/n/10 Optional[bool]\T1/qtm/m/n/10 ) ^^U
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[]\T1/txtt/bx/n/10 is_training_data_for_versions_permanently_enabled \T1/qtm/m/
n/10 (\T1/txtt/m/n/10 Optional[bool]\T1/qtm/m/n/10 ) ^^U
[297]
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[]\T1/txtt/bx/n/10 image_type \T1/qtm/m/n/10 (\T1/txtt/m/n/10 str\T1/qtm/m/n/10
 ) ^^U the type of the im-age, ei-ther CUS-

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\T1/qtm/m/n/10 TOM_MODEL_IMAGE_TYPE.CUSTOM_MODEL_IMAGE if the test-

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\T1/qtm/m/n/10 ing at-tempt is us-ing a Cus-tom-Mod-e-lIm-age as its model or C
US-
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[]\T1/txtt/bx/n/10 network_egress_policy \T1/qtm/m/n/10 (\T1/txtt/m/n/10 dataro
bot.NETWORK_EGRESS_POLICY\T1/qtm/m/n/10 , \T1/qtm/m/it/10 op-tional\T1/qtm/m/n/
10 )

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\T1/qtm/m/n/10 ^^U De-ter-mines whether the given cus-tom model is iso-lated, o
r can ac-cess the

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\T1/qtm/m/n/10 pub-lic net-work. Val-ues: [\T1/qtm/m/it/10 datarobot.NETWORK_EG
RESS_POLICY.NONE\T1/qtm/m/n/10 ,

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[]\T1/txtt/bx/n/10 network_egress_policy \T1/qtm/m/n/10 (\T1/txtt/m/n/10 dataro
bot.NETWORK_EGRESS_POLICY\T1/qtm/m/n/10 , \T1/qtm/m/it/10 op-tional\T1/qtm/m/n/
10 )

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\T1/qtm/m/n/10 ^^U De-ter-mines whether the given cus-tom model is iso-lated, o
r can ac-cess the

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\T1/qtm/m/n/10 pub-lic net-work. Val-ues: [\T1/qtm/m/it/10 datarobot.NETWORK_EG
RESS_POLICY.NONE\T1/qtm/m/n/10 ,
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[]\T1/txtt/bx/n/10 network_egress_policy \T1/qtm/m/n/10 (\T1/txtt/m/n/10 dataro
bot.NETWORK_EGRESS_POLICY\T1/qtm/m/n/10 , \T1/qtm/m/it/10 op-tional\T1/qtm/m/n/
10 )

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\T1/qtm/m/n/10 ^^U De-ter-mines whether the given cus-tom model is iso-lated, o
r can ac-cess the

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\T1/qtm/m/n/10 pub-lic net-work. Val-ues: [\T1/qtm/m/it/10 datarobot.NETWORK_EG
RESS_POLICY.NONE\T1/qtm/m/n/10 ,
[302]
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[]\T1/txtt/bx/n/10 base_environment_version_id \T1/qtm/m/n/10 (\T1/txtt/m/n/10 
str\T1/qtm/m/n/10 ) ^^U The base en-vi-ron-ment ver-sion ID

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\T1/qtm/m/n/10 to use with this model ver-sion. At least one of ^^Pbase_environ
ment_id^^Q and

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[]\T1/txtt/bx/n/10 files \T1/qtm/m/n/10 (\T1/txtt/m/n/10 Optional[List]\T1/qtm/
m/n/10 ) ^^U The list of tu-ples, where val-ues in each

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\T1/qtm/m/n/10 tu-ple are the lo-cal filesys-tem path and the path the file sho
uld be

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\T1/qtm/m/n/10 placed in the model. If the list is of strings, then base-names 
will be

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\T1/qtm/m/n/10 used for tu-ples. Ex-am-ple: [(^^P/home/user/Documents/myModel/f
ile1.txt^^Q,

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\T1/qtm/m/n/10 ^^Pfile1.txt^^Q), (^^P/home/user/Documents/myModel/folder/file2.
txt^^Q,

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\T1/qtm/m/n/10 ^^Pfolder/file2.txt^^Q)] or [^^P/home/user/Documents/myModel/fil
e1.txt^^Q,

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[]\T1/txtt/bx/n/10 network_egress_policy \T1/qtm/m/n/10 (\T1/txtt/m/n/10 dataro
bot.NETWORK_EGRESS_POLICY\T1/qtm/m/n/10 , \T1/qtm/m/it/10 op-tional\T1/qtm/m/n/
10 )

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\T1/qtm/m/n/10 ^^U De-ter-mines whether the given cus-tom model is iso-lated, o
r can ac-cess the

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\T1/qtm/m/n/10 pub-lic net-work. Val-ues: [\T1/qtm/m/it/10 datarobot.NETWORK_EG
RESS_POLICY.NONE\T1/qtm/m/n/10 ,
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[]\T1/txtt/bx/n/10 base_environment_version_id \T1/qtm/m/n/10 (\T1/txtt/m/n/10 
str\T1/qtm/m/n/10 ) ^^U The base en-vi-ron-ment ver-sion ID

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\T1/qtm/m/n/10 to use with this model ver-sion. At least one of ^^Pbase_environ
ment_id^^Q and

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[]\T1/txtt/bx/n/10 files \T1/qtm/m/n/10 (\T1/txtt/m/n/10 Optional[List]\T1/qtm/
m/n/10 ) ^^U The list of tu-ples, where val-ues in each

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\T1/qtm/m/n/10 tu-ple are the lo-cal filesys-tem path and the path the file sho
uld be

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\T1/qtm/m/n/10 placed in the model. If list is of strings, then base-names will
 be

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\T1/qtm/m/n/10 used for tu-ples Ex-am-ple: [(^^P/home/user/Documents/myModel/fi
le1.txt^^Q,

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\T1/qtm/m/n/10 ^^Pfile1.txt^^Q), (^^P/home/user/Documents/myModel/folder/file2.
txt^^Q,

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\T1/qtm/m/n/10 ^^Pfolder/file2.txt^^Q)] or [^^P/home/user/Documents/myModel/fil
e1.txt^^Q,

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[]\T1/txtt/bx/n/10 network_egress_policy \T1/qtm/m/n/10 (\T1/txtt/m/n/10 dataro
bot.NETWORK_EGRESS_POLICY\T1/qtm/m/n/10 , \T1/qtm/m/it/10 op-tional\T1/qtm/m/n/
10 )

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\T1/qtm/m/n/10 ^^U De-ter-mines whether the given cus-tom model is iso-lated, o
r can ac-cess the

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\T1/qtm/m/n/10 pub-lic net-work. Val-ues: [\T1/qtm/m/it/10 datarobot.NETWORK_EG
RESS_POLICY.NONE\T1/qtm/m/n/10 ,
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Underfull \hbox (badness 10000) in paragraph at lines 28273--28276
[]\T1/txtt/bx/n/10 build_status \T1/qtm/m/n/10 (\T1/txtt/m/n/10 Optional[str]\T
1/qtm/m/n/10 ) ^^U build sta-tus of

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\T1/qtm/m/n/10 the ex-e-cu-tion en-vi-ron-ment ver-sion to fil-ter by. See

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\T1/qtm/m/n/10 datarobot.enums.EXECUTION_ENVIRONMENT_VERSION_BUILD_STATUS
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Underfull \hbox (badness 10000) in paragraph at lines 29015--29020
[]\T1/txtt/bx/n/10 calibrate_predictions \T1/qtm/m/n/10 (\T1/txtt/m/n/10 Option
al[bool]\T1/qtm/m/n/10 ) ^^U whether anomaly pre-dic-tions

Underfull \hbox (badness 6658) in paragraph at lines 29015--29020
\T1/qtm/m/n/10 should be cal-i-brated to be be-tween 0 and 1 by DR. if None, us
es de-fault
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[] \T1/txtt/m/n/10 code[]block:\T1/qtm/m/n/10 : \T1/txtt/m/n/10 python \T1/qtm/
m/n/10 ^^U from datarobot.models.deployment

Underfull \hbox (badness 10000) in paragraph at lines 31052--31055
\T1/qtm/m/n/10 im-port Train-ing-Data-Ex-port dataset_id = Train-ing-Data-Ex-
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[]\T1/txtt/bx/n/10 database_driver \T1/qtm/m/n/10 (\T1/txtt/m/n/10 str\T1/qtm/m
/n/10 ) ^^U Op-tional. Spec-ify when typ is \T1/qtm/m/it/10 DataDriver-
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[]\T1/txtt/bx/n/10 jdbc_url \T1/qtm/m/n/10 (\T1/txtt/m/n/10 str\T1/qtm/m/n/10 )
 ^^U Op-tional. The full JDBC URL (for ex-am-ple:
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[]\T1/txtt/bx/n/10 jdbc_url \T1/qtm/m/n/10 (\T1/txtt/m/n/10 str\T1/qtm/m/n/10 )
 ^^U Op-tional. The full JDBC URL (for ex-am-ple:
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\T1/qtm/m/n/10 GIVEN _ NAME / SCHEMA . TABLE _ NAME$[][]' - `[][]$jdbc : DATA _
 SOURCE _ GIVEN _

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[]\T1/txtt/bx/n/10 resolutions \T1/qtm/m/n/10 (\T1/txtt/m/n/10 list \T1/qtm/m/n
/10 of \T1/txtt/m/n/10 string\T1/qtm/m/n/10 ) ^^U A list of \T1/txtt/m/n/10 dat
arobot.enums.

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\T1/txtt/m/n/10 DATETIME_TREND_PLOTS_RESOLUTION\T1/qtm/m/n/10 , which rep-re-se
nts avail-able time res-o-lu-tions
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\T1/qtm/m/n/10 Sta-tus back-test/holdout train-ing. One of \T1/txtt/m/n/10 data
robot.enums.

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\T1/qtm/m/n/10 Sta-tus back-test/holdout val-i-da-tion. One of \T1/txtt/m/n/10 
datarobot.enums.
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[]\T1/txtt/bx/n/10 resolutions \T1/qtm/m/n/10 (\T1/txtt/m/n/10 list \T1/qtm/m/n
/10 of \T1/txtt/m/n/10 string\T1/qtm/m/n/10 ) ^^U A list of \T1/txtt/m/n/10 dat
arobot.enums.

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\T1/txtt/m/n/10 DATETIME_TREND_PLOTS_RESOLUTION\T1/qtm/m/n/10 , which rep-re-se
nts avail-able time res-o-lu-tions
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[]\T1/txtt/bx/n/10 resolutions \T1/qtm/m/n/10 (\T1/txtt/m/n/10 list \T1/qtm/m/n
/10 of \T1/txtt/m/n/10 string\T1/qtm/m/n/10 ) ^^U A list of \T1/txtt/m/n/10 dat
arobot.enums.

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\T1/txtt/m/n/10 DATETIME_TREND_PLOTS_RESOLUTION\T1/qtm/m/n/10 , which rep-re-se
nts avail-able time res-o-lu-tions
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\T1/qtm/m/n/10 Sta-tus back-test/holdout train-ing. One of \T1/txtt/m/n/10 data
robot.enums.

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\T1/qtm/m/n/10 Sta-tus back-test/holdout val-i-da-tion. One of \T1/txtt/m/n/10 
datarobot.enums.
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[]\T1/qtm/m/n/10 datarobot-key \T1/txtt/m/n/10 str \T1/qtm/m/n/10 Cor-re-sponds
 the to the \T1/txtt/m/n/10 PredictionServer \T1/qtm/m/n/10 ^^Psnake_cased^^Q
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\T1/qtm/m/n/10 If pre-dic-tions data col-lec-tion is en-abled for this de-ploy-
ment.

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\T1/qtm/m/n/10 To up-date ex-ist-ing `'pre-dic-tions_data_collection'' set-ting
s, see
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[]\T1/txtt/bx/n/10 share_recipient_type \T1/qtm/m/n/10 (\T1/txtt/m/n/10 enum(\T
S1/txtt/m/n/10 ``\T1/qtm/m/n/10 'user'\T1/txtt/m/n/10 , \TS1/txtt/m/n/10 ``'\T1
/txtt/m/n/10 group\TS1/txtt/m/n/10 '\T1/qtm/m/n/10 , \TS1/txtt/m/n/10 '\T1/txtt
/m/n/10 organization\TS1/txtt/m/n/10 '\T1/txtt/m/n/10 )\T1/qtm/m/n/10 ,

Underfull \hbox (badness 10000) in paragraph at lines 39766--39768
\T1/txtt/bx/n/10 roles \T1/qtm/m/n/10 (\T1/txtt/m/n/10 list(or(GrantAccessContr
olWithUsernameValidator\T1/qtm/m/n/10 ,
[408] [409] [410] [411] [412] [413] [414] [415] [416] [417] [418] [419]
[420] [421] [422] [423]
Underfull \hbox (badness 10000) in paragraph at lines 42158--42162
[]\T1/txtt/bx/n/10 target_drift \T1/qtm/m/n/10 (\T1/txtt/m/n/10 Settings\T1/qtm
/m/n/10 ) ^^U If tar-get drift track-ing is en-abled for this

Underfull \hbox (badness 10000) in paragraph at lines 42158--42162
\T1/qtm/m/n/10 de-ploy-ment. To cre-ate or up-date ex-ist-ing \T1/txtt/m/n/10 t
arget_drift \T1/qtm/m/n/10 set-tings, see

Underfull \hbox (badness 10000) in paragraph at lines 42164--42168
[]\T1/txtt/bx/n/10 feature_drift \T1/qtm/m/n/10 (\T1/txtt/m/n/10 Settings\T1/qt
m/m/n/10 ) ^^U If fea-ture drift track-ing is en-abled for this

Underfull \hbox (badness 10000) in paragraph at lines 42164--42168
\T1/qtm/m/n/10 de-ploy-ment. To cre-ate or up-date ex-ist-ing \T1/txtt/m/n/10 f
eature_drift \T1/qtm/m/n/10 set-tings, see
[424]
Underfull \hbox (badness 10000) in paragraph at lines 42211--42215
[]\T1/txtt/bx/n/10 enabled \T1/qtm/m/n/10 (\T1/txtt/m/n/10 bool\T1/qtm/m/n/10 )
 ^^U If tar-get pre-dic-tion_warning is en-abled for this de-ploy-

Underfull \hbox (badness 10000) in paragraph at lines 42211--42215
\T1/qtm/m/n/10 ment. To cre-ate or up-date ex-ist-ing `'pre-dic-tion_warning'' 
set-tings, see
[425] [426] [427] [428] [429] [430] [431]
Underfull \hbox (badness 10000) in paragraph at lines 43160--43162
[]\T1/txtt/bx/n/10 backtests \T1/qtm/m/n/10 (\T1/txtt/m/n/10 list \T1/qtm/m/n/1
0 of \T1/txtt/m/n/10 dicts containing validation_start_date \T1/qtm/m/n/10 and
[432] [433] [434] [435] [436]
Underfull \hbox (badness 10000) in paragraph at lines 43820--43825
[]\T1/qtm/m/n/10 {`key':'DataRobot', `sum-mary':{`min':0, `max':29815.0, `std-D
ev':6498.029,
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Underfull \hbox (badness 10000) in paragraph at lines 44383--44388
[]\T1/qtm/m/n/10 {`key':'DataRobot', `sum-mary':{`min':0, `max':29815.0, `std-D
ev':6498.029,
[441] [442] [443] [444]
Underfull \hbox (badness 5331) in paragraph at lines 44851--44853
[]\T1/txtt/bx/n/10 values \T1/qtm/m/n/10 (\T1/txtt/m/n/10 list(dict)\T1/qtm/m/n
/10 ) ^^U List of His-togram val-ues with a schema de-scribed as
[445]
Underfull \hbox (badness 10000) in paragraph at lines 45098--45101
[]\T1/qtm/m/n/10 E.g. The prob-a-bil-ity P(A=0,B=1) can be re-trieved via:

Underfull \hbox (badness 10000) in paragraph at lines 45098--45101
\T1/txtt/m/n/10 pairwise_joint_probabilities.statistic_dataframes[(0,1)].loc[\T
S1/txtt/m/n/10 '\T1/txtt/m/n/10 A\TS1/txtt/m/n/10 '\T1/txtt/m/n/10 ,
[446] [447]
Underfull \hbox (badness 10000) in paragraph at lines 45249--45252
[]\T1/qtm/m/n/10 E.g. The prob-a-bil-ity P(A=0|B=1) can be re-trieved via:

Underfull \hbox (badness 10000) in paragraph at lines 45249--45252
\T1/txtt/m/n/10 pairwise_conditional_probabilities.statistic_dataframes[(0,1)].

[448] [449]
Underfull \hbox (badness 10000) in paragraph at lines 45582--45585
[]\T1/txtt/bx/n/10 metric \T1/qtm/m/n/10 (\T1/txtt/m/n/10 enums.FEATURE_ASSOCIA
TION_METRIC\T1/qtm/m/n/10 ) ^^U The name of a met-

Underfull \hbox (badness 5563) in paragraph at lines 45582--45585
\T1/qtm/m/n/10 ric to get pair-wise data for. Since `v2.19' this is op-tional a
nd de-faults to
[450]
Underfull \hbox (badness 10000) in paragraph at lines 45587--45590
[]\T1/txtt/bx/n/10 association_type \T1/qtm/m/n/10 (\T1/txtt/m/n/10 enums.FEATU
RE_ASSOCIATION_TYPE\T1/qtm/m/n/10 ) ^^U The type of

Underfull \hbox (badness 10000) in paragraph at lines 45587--45590
\T1/qtm/m/n/10 de-pen-dence for the data. Since `v2.19' this is op-tional and d
e-faults to
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[463] [464] [465] [466] [467] [468] [469] [470] [471] [472] [473] [474]
[475] [476] [477] [478] [479] [480] [481] [482] [483] [484] [485] [486]
Underfull \hbox (badness 10000) in paragraph at lines 50624--50626
[]\T1/txtt/bx/n/10 embedding_validation \T1/qtm/m/n/10 (\T1/txtt/m/n/10 Optiona
l[CustomModelEmbeddingValidation\T1/qtm/m/n/10 ,
[487] [488] [489] [490] [491] [492] [493] [494] [495] [496] [497] [498]
[499] [500] [501] [502] [503] [504]
Underfull \hbox (badness 6592) in paragraph at lines 53254--53256
[]\T1/txtt/bx/n/10 prompt_moderation_configuration \T1/qtm/m/n/10 (\T1/txtt/m/n
/10 ModerationConfigurationWithoutID\T1/qtm/m/n/10 , \T1/qtm/m/it/10 op-
[505] [506]
Underfull \hbox (badness 10000) in paragraph at lines 53372--53374
[]\T1/txtt/bx/n/10 response_moderation_configuration \T1/qtm/m/n/10 (\T1/txtt/m
/n/10 ModerationConfigurationWithoutID\T1/qtm/m/n/10 ,
[507] [508] [509] [510] [511] [512] [513] [514] [515] [516] [517] [518]
[519] [520] [521] [522] [523] [524] [525] [526] [527] [528] [529] [530]
[531] [532] [533] [534] [535] [536] [537] [538] [539]
Underfull \hbox (badness 10000) in paragraph at lines 58191--58193
[]\T1/txtt/bx/n/10 source \T1/qtm/m/n/10 (\T1/txtt/m/n/10 str\T1/qtm/m/n/10 ) ^
^U Con-fu-sion chart source. Check
[540]
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[]\T1/txtt/bx/n/10 fairness_metrics_set \T1/qtm/m/n/10 (\T1/txtt/m/n/10 Optiona
l[str]\T1/qtm/m/n/10 ) ^^U Can be one of
[541] [542]
Underfull \hbox (badness 10000) in paragraph at lines 58590--58593
\T1/qtm/m/n/10 keys: \T1/txtt/m/n/10 featureName\T1/qtm/m/n/10 , \T1/txtt/m/n/1
0 impactNormalized\T1/qtm/m/n/10 , and \T1/txtt/m/n/10 impactUnnormalized\T1/qt
m/m/n/10 , and
[543]
Underfull \hbox (badness 10000) in paragraph at lines 58716--58718
[]\T1/txtt/bx/n/10 source \T1/qtm/m/n/10 (\T1/txtt/m/n/10 str\T1/qtm/m/n/10 ) ^
^U ROC curve data source. Check
[544] [545] [546] [547]
Underfull \hbox (badness 10000) in paragraph at lines 59318--59321
[]\T1/txtt/bx/n/10 source \T1/qtm/m/n/10 (\T1/txtt/m/n/10 str\T1/qtm/m/n/10 ) ^
^U Resid-u-als chart data source. Check
[548]
Underfull \hbox (badness 10000) in paragraph at lines 59377--59381
[]\T1/txtt/bx/n/10 source \T1/qtm/m/n/10 (\T1/txtt/m/n/10 str\T1/qtm/m/n/10 ) ^
^U ROC curve data source. Check
[549] [550] [551]
Underfull \hbox (badness 10000) in paragraph at lines 59852--59855
\T1/txtt/bx/n/10 fairness_metrics_set \T1/qtm/m/n/10 (\T1/txtt/m/n/10 Optional[
str]\T1/qtm/m/n/10 ) ^^U Can be one of
[552] [553]
Underfull \hbox (badness 10000) in paragraph at lines 60043--60048
[]\T1/qtm/m/n/10 All du-ra-tions should be spec-i-fied with a du-ra-tion string
 such as those re-turned by the

Underfull \hbox (badness 8075) in paragraph at lines 60043--60048
[][]\T1/txtt/m/sl/10 partitioning_methods.construct_duration_string[][] \T1/qtm
/m/n/10 helper method. Please see [][]\T1/qtm/m/it/10 date-time
[554] [555]
Underfull \hbox (badness 10000) in paragraph at lines 60298--60301
[]\T1/txtt/bx/n/10 explanation_algorithm \T1/qtm/m/n/10 (\T1/txtt/m/n/10 (New i
n version v2.21) optional; If set \T1/qtm/m/n/10 to

Underfull \hbox (badness 10000) in paragraph at lines 60303--60309
[]\T1/txtt/bx/n/10 max_explanations \T1/qtm/m/n/10 (\T1/txtt/m/n/10 (New in ver
sion v2.21) int optional; specifies the
[556]
Underfull \hbox (badness 10000) in paragraph at lines 60347--60349
[]\T1/txtt/bx/n/10 source \T1/qtm/m/n/10 (\T1/txtt/m/n/10 str\T1/qtm/m/n/10 ) ^
^U Resid-u-als chart data source. Check

Underfull \hbox (badness 10000) in paragraph at lines 60383--60385
[]\T1/txtt/bx/n/10 source \T1/qtm/m/n/10 (\T1/txtt/m/n/10 str\T1/qtm/m/n/10 ) ^
^U Roc Curve data source. Check
[557] [558]
Underfull \hbox (badness 10000) in paragraph at lines 60660--60669
[]\T1/txtt/bx/n/10 scoring_type \T1/qtm/m/n/10 (\T1/txtt/m/n/10 Optional[str]\T
1/qtm/m/n/10 ) ^^U Ei-ther \T1/txtt/m/n/10 validation \T1/qtm/m/n/10 or \T1/txt
t/m/n/10 crossValidation
[559]
Underfull \hbox (badness 10000) in paragraph at lines 60729--60734
[]\T1/qtm/m/n/10 All du-ra-tions should be spec-i-fied with a du-ra-tion string
 such as those re-turned by the

Underfull \hbox (badness 8075) in paragraph at lines 60729--60734
[][]\T1/txtt/m/sl/10 partitioning_methods.construct_duration_string[][] \T1/qtm
/m/n/10 helper method. Please see [][]\T1/qtm/m/it/10 date-time

Underfull \hbox (badness 7133) in paragraph at lines 60742--60745
\T1/qtm/m/n/10 be used to train the model. If spec-i-fied, nei-ther \T1/txtt/m/
n/10 training_duration \T1/qtm/m/n/10 nor
[560] [561] [562] [563] [564] [565] [566] [567] [568] [569]
Underfull \hbox (badness 10000) in paragraph at lines 61841--61843
[]\T1/txtt/bx/n/10 source \T1/qtm/m/n/10 (\T1/txtt/m/n/10 str\T1/qtm/m/n/10 ) ^
^U Con-fu-sion chart source. Check
[570]
Underfull \hbox (badness 10000) in paragraph at lines 61992--61995
[]\T1/txtt/bx/n/10 fairness_metrics_set \T1/qtm/m/n/10 (\T1/txtt/m/n/10 Optiona
l[str]\T1/qtm/m/n/10 ) ^^U Can be one of
[571] [572]
Underfull \hbox (badness 10000) in paragraph at lines 62240--62243
\T1/qtm/m/n/10 keys: \T1/txtt/m/n/10 featureName\T1/qtm/m/n/10 , \T1/txtt/m/n/1
0 impactNormalized\T1/qtm/m/n/10 , and \T1/txtt/m/n/10 impactUnnormalized\T1/qt
m/m/n/10 , and

Underfull \hbox (badness 10000) in paragraph at lines 62366--62368
[]\T1/txtt/bx/n/10 source \T1/qtm/m/n/10 (\T1/txtt/m/n/10 str\T1/qtm/m/n/10 ) ^
^U ROC curve data source. Check
[573] [574] [575] [576] [577]
Underfull \hbox (badness 10000) in paragraph at lines 62968--62971
[]\T1/txtt/bx/n/10 source \T1/qtm/m/n/10 (\T1/txtt/m/n/10 str\T1/qtm/m/n/10 ) ^
^U Resid-u-als chart data source. Check

Underfull \hbox (badness 10000) in paragraph at lines 63027--63031
[]\T1/txtt/bx/n/10 source \T1/qtm/m/n/10 (\T1/txtt/m/n/10 str\T1/qtm/m/n/10 ) ^
^U ROC curve data source. Check
[578] [579] [580] [581]
Underfull \hbox (badness 10000) in paragraph at lines 63472--63475
\T1/txtt/bx/n/10 fairness_metrics_set \T1/qtm/m/n/10 (\T1/txtt/m/n/10 Optional[
str]\T1/qtm/m/n/10 ) ^^U Can be one of
[582] [583]
Underfull \hbox (badness 10000) in paragraph at lines 63778--63781
[]\T1/txtt/bx/n/10 explanation_algorithm \T1/qtm/m/n/10 (\T1/txtt/m/n/10 (New i
n version v2.21) optional; If set \T1/qtm/m/n/10 to

Underfull \hbox (badness 10000) in paragraph at lines 63783--63789
[]\T1/txtt/bx/n/10 max_explanations \T1/qtm/m/n/10 (\T1/txtt/m/n/10 (New in ver
sion v2.21) int optional; specifies the
[584]
Underfull \hbox (badness 10000) in paragraph at lines 63827--63829
[]\T1/txtt/bx/n/10 source \T1/qtm/m/n/10 (\T1/txtt/m/n/10 str\T1/qtm/m/n/10 ) ^
^U Resid-u-als chart data source. Check

Underfull \hbox (badness 10000) in paragraph at lines 63863--63865
[]\T1/txtt/bx/n/10 source \T1/qtm/m/n/10 (\T1/txtt/m/n/10 str\T1/qtm/m/n/10 ) ^
^U Roc Curve data source. Check
[585] [586] [587] [588] [589] [590]
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[591]
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[592] [593] [594]
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[]\T1/txtt/bx/n/10 source \T1/qtm/m/n/10 (\T1/txtt/m/n/10 str\T1/qtm/m/n/10 ) ^
^U Con-fu-sion chart source. Check
[595]
Underfull \hbox (badness 10000) in paragraph at lines 65190--65193
[]\T1/txtt/bx/n/10 fairness_metrics_set \T1/qtm/m/n/10 (\T1/txtt/m/n/10 Optiona
l[str]\T1/qtm/m/n/10 ) ^^U Can be one of
[596] [597]
Underfull \hbox (badness 10000) in paragraph at lines 65438--65441
\T1/qtm/m/n/10 keys: \T1/txtt/m/n/10 featureName\T1/qtm/m/n/10 , \T1/txtt/m/n/1
0 impactNormalized\T1/qtm/m/n/10 , and \T1/txtt/m/n/10 impactUnnormalized\T1/qt
m/m/n/10 , and
[598]
Underfull \hbox (badness 10000) in paragraph at lines 65564--65566
[]\T1/txtt/bx/n/10 source \T1/qtm/m/n/10 (\T1/txtt/m/n/10 str\T1/qtm/m/n/10 ) ^
^U ROC curve data source. Check
[599] [600] [601] [602]
Underfull \hbox (badness 10000) in paragraph at lines 66166--66169
[]\T1/txtt/bx/n/10 source \T1/qtm/m/n/10 (\T1/txtt/m/n/10 str\T1/qtm/m/n/10 ) ^
^U Resid-u-als chart data source. Check
[603]
Underfull \hbox (badness 10000) in paragraph at lines 66225--66229
[]\T1/txtt/bx/n/10 source \T1/qtm/m/n/10 (\T1/txtt/m/n/10 str\T1/qtm/m/n/10 ) ^
^U ROC curve data source. Check
[604] [605] [606]
Underfull \hbox (badness 10000) in paragraph at lines 66700--66703
\T1/txtt/bx/n/10 fairness_metrics_set \T1/qtm/m/n/10 (\T1/txtt/m/n/10 Optional[
str]\T1/qtm/m/n/10 ) ^^U Can be one of
[607] [608]
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[]\T1/qtm/m/n/10 All du-ra-tions should be spec-i-fied with a du-ra-tion string
 such as those re-turned by the

Underfull \hbox (badness 8075) in paragraph at lines 66891--66896
[][]\T1/txtt/m/sl/10 partitioning_methods.construct_duration_string[][] \T1/qtm
/m/n/10 helper method. Please see [][]\T1/qtm/m/it/10 date-time
[609] [610]
Underfull \hbox (badness 10000) in paragraph at lines 67146--67149
[]\T1/txtt/bx/n/10 explanation_algorithm \T1/qtm/m/n/10 (\T1/txtt/m/n/10 (New i
n version v2.21) optional; If set \T1/qtm/m/n/10 to

Underfull \hbox (badness 10000) in paragraph at lines 67151--67157
[]\T1/txtt/bx/n/10 max_explanations \T1/qtm/m/n/10 (\T1/txtt/m/n/10 (New in ver
sion v2.21) int optional; specifies the
[611]
Underfull \hbox (badness 10000) in paragraph at lines 67195--67197
[]\T1/txtt/bx/n/10 source \T1/qtm/m/n/10 (\T1/txtt/m/n/10 str\T1/qtm/m/n/10 ) ^
^U Resid-u-als chart data source. Check

Underfull \hbox (badness 10000) in paragraph at lines 67231--67233
[]\T1/txtt/bx/n/10 source \T1/qtm/m/n/10 (\T1/txtt/m/n/10 str\T1/qtm/m/n/10 ) ^
^U Roc Curve data source. Check
[612] [613]
Underfull \hbox (badness 10000) in paragraph at lines 67508--67517
[]\T1/txtt/bx/n/10 scoring_type \T1/qtm/m/n/10 (\T1/txtt/m/n/10 Optional[str]\T
1/qtm/m/n/10 ) ^^U Ei-ther \T1/txtt/m/n/10 validation \T1/qtm/m/n/10 or \T1/txt
t/m/n/10 crossValidation
[614]
Underfull \hbox (badness 10000) in paragraph at lines 67577--67582
[]\T1/qtm/m/n/10 All du-ra-tions should be spec-i-fied with a du-ra-tion string
 such as those re-turned by the

Underfull \hbox (badness 8075) in paragraph at lines 67577--67582
[][]\T1/txtt/m/sl/10 partitioning_methods.construct_duration_string[][] \T1/qtm
/m/n/10 helper method. Please see [][]\T1/qtm/m/it/10 date-time

Underfull \hbox (badness 7133) in paragraph at lines 67590--67593
\T1/qtm/m/n/10 be used to train the model. If spec-i-fied, nei-ther \T1/txtt/m/
n/10 training_duration \T1/qtm/m/n/10 nor
[615] [616]
Underfull \hbox (badness 5217) in paragraph at lines 67823--67826
[]\T1/txtt/bx/n/10 sampling_method \T1/qtm/m/n/10 (\T1/txtt/m/n/10 str \T1/qtm/
m/n/10 or \T1/txtt/m/n/10 None\T1/qtm/m/n/10 ) ^^U (New in v2.23) in-di-cates t
he way train-ing
[617] [618] [619] [620] [621]
Underfull \hbox (badness 10000) in paragraph at lines 68368--68373
[]\T1/qtm/m/n/10 All du-ra-tions should be spec-i-fied with a du-ra-tion string
 such as those re-turned by the

Underfull \hbox (badness 8075) in paragraph at lines 68368--68373
[][]\T1/txtt/m/sl/10 partitioning_methods.construct_duration_string[][] \T1/qtm
/m/n/10 helper method. Please see [][]\T1/qtm/m/it/10 date-time
[622] [623] [624] [625] [626] [627] [628] [629] [630] [631] [632] [633]
Underfull \hbox (badness 10000) in paragraph at lines 69744--69747
\T1/qtm/m/n/10 keys: \T1/txtt/m/n/10 featureName\T1/qtm/m/n/10 , \T1/txtt/m/n/1
0 impactNormalized\T1/qtm/m/n/10 , and \T1/txtt/m/n/10 impactUnnormalized\T1/qt
m/m/n/10 , and
[634] [635] [636] [637] [638] [639] [640] [641] [642] [643]
Underfull \hbox (badness 10000) in paragraph at lines 70764--70766
[]\T1/txtt/bx/n/10 source \T1/qtm/m/n/10 (\T1/txtt/m/n/10 str\T1/qtm/m/n/10 ) ^
^U Con-fu-sion chart source. Check

Underfull \hbox (badness 10000) in paragraph at lines 70864--70867
[]\T1/txtt/bx/n/10 fairness_metrics_set \T1/qtm/m/n/10 (\T1/txtt/m/n/10 Optiona
l[str]\T1/qtm/m/n/10 ) ^^U Can be one of
[644]
Underfull \hbox (badness 10000) in paragraph at lines 70958--70960
[]\T1/txtt/bx/n/10 source \T1/qtm/m/n/10 (\T1/txtt/m/n/10 str\T1/qtm/m/n/10 ) ^
^U ROC curve data source. Check
[645] [646] [647]
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[]\T1/txtt/bx/n/10 source \T1/qtm/m/n/10 (\T1/txtt/m/n/10 str\T1/qtm/m/n/10 ) ^
^U Resid-u-als chart data source. Check
[648] [649] [650]
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\T1/txtt/bx/n/10 fairness_metrics_set \T1/qtm/m/n/10 (\T1/txtt/m/n/10 Optional[
str]\T1/qtm/m/n/10 ) ^^U Can be one of
[651]
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[]\T1/qtm/m/n/10 All du-ra-tions should be spec-i-fied with a du-ra-tion string
 such as those re-turned by the

Underfull \hbox (badness 8075) in paragraph at lines 71876--71881
[][]\T1/txtt/m/sl/10 partitioning_methods.construct_duration_string[][] \T1/qtm
/m/n/10 helper method. Please see [][]\T1/qtm/m/it/10 date-time
[652]
Underfull \hbox (badness 10000) in paragraph at lines 72046--72049
[]\T1/txtt/bx/n/10 explanation_algorithm \T1/qtm/m/n/10 (\T1/txtt/m/n/10 (New i
n version v2.21) optional; If set \T1/qtm/m/n/10 to

Underfull \hbox (badness 10000) in paragraph at lines 72051--72057
[]\T1/txtt/bx/n/10 max_explanations \T1/qtm/m/n/10 (\T1/txtt/m/n/10 (New in ver
sion v2.21) int optional; specifies the
[653]
Underfull \hbox (badness 10000) in paragraph at lines 72095--72097
[]\T1/txtt/bx/n/10 source \T1/qtm/m/n/10 (\T1/txtt/m/n/10 str\T1/qtm/m/n/10 ) ^
^U Resid-u-als chart data source. Check
[654]
Underfull \hbox (badness 10000) in paragraph at lines 72214--72219
[]\T1/qtm/m/n/10 All du-ra-tions should be spec-i-fied with a du-ra-tion string
 such as those re-turned by the

Underfull \hbox (badness 8075) in paragraph at lines 72214--72219
[][]\T1/txtt/m/sl/10 partitioning_methods.construct_duration_string[][] \T1/qtm
/m/n/10 helper method. Please see [][]\T1/qtm/m/it/10 date-time

Underfull \hbox (badness 7133) in paragraph at lines 72227--72230
\T1/qtm/m/n/10 be used to train the model. If spec-i-fied, nei-ther \T1/txtt/m/
n/10 training_duration \T1/qtm/m/n/10 nor
[655] [656] [657] [658] [659] [660] [661] [662] [663] [664] [665]
Underfull \hbox (badness 10000) in paragraph at lines 73464--73466
[]\T1/txtt/bx/n/10 source \T1/qtm/m/n/10 (\T1/txtt/m/n/10 str\T1/qtm/m/n/10 ) ^
^U Con-fu-sion chart source. Check
[666]
Underfull \hbox (badness 10000) in paragraph at lines 73615--73618
[]\T1/txtt/bx/n/10 fairness_metrics_set \T1/qtm/m/n/10 (\T1/txtt/m/n/10 Optiona
l[str]\T1/qtm/m/n/10 ) ^^U Can be one of
[667] [668]
Underfull \hbox (badness 10000) in paragraph at lines 73863--73866
\T1/qtm/m/n/10 keys: \T1/txtt/m/n/10 featureName\T1/qtm/m/n/10 , \T1/txtt/m/n/1
0 impactNormalized\T1/qtm/m/n/10 , and \T1/txtt/m/n/10 impactUnnormalized\T1/qt
m/m/n/10 , and
[669]
Underfull \hbox (badness 10000) in paragraph at lines 73989--73991
[]\T1/txtt/bx/n/10 source \T1/qtm/m/n/10 (\T1/txtt/m/n/10 str\T1/qtm/m/n/10 ) ^
^U ROC curve data source. Check
[670] [671] [672] [673]
Underfull \hbox (badness 10000) in paragraph at lines 74591--74594
[]\T1/txtt/bx/n/10 source \T1/qtm/m/n/10 (\T1/txtt/m/n/10 str\T1/qtm/m/n/10 ) ^
^U Resid-u-als chart data source. Check

Underfull \hbox (badness 10000) in paragraph at lines 74650--74654
[]\T1/txtt/bx/n/10 source \T1/qtm/m/n/10 (\T1/txtt/m/n/10 str\T1/qtm/m/n/10 ) ^
^U ROC curve data source. Check
[674] [675] [676] [677]
Underfull \hbox (badness 10000) in paragraph at lines 75125--75128
\T1/txtt/bx/n/10 fairness_metrics_set \T1/qtm/m/n/10 (\T1/txtt/m/n/10 Optional[
str]\T1/qtm/m/n/10 ) ^^U Can be one of
[678] [679]
Underfull \hbox (badness 10000) in paragraph at lines 75316--75321
[]\T1/qtm/m/n/10 All du-ra-tions should be spec-i-fied with a du-ra-tion string
 such as those re-turned by the

Underfull \hbox (badness 8075) in paragraph at lines 75316--75321
[][]\T1/txtt/m/sl/10 partitioning_methods.construct_duration_string[][] \T1/qtm
/m/n/10 helper method. Please see [][]\T1/qtm/m/it/10 date-time
[680] [681]
Underfull \hbox (badness 10000) in paragraph at lines 75571--75574
[]\T1/txtt/bx/n/10 explanation_algorithm \T1/qtm/m/n/10 (\T1/txtt/m/n/10 (New i
n version v2.21) optional; If set \T1/qtm/m/n/10 to

Underfull \hbox (badness 10000) in paragraph at lines 75576--75582
[]\T1/txtt/bx/n/10 max_explanations \T1/qtm/m/n/10 (\T1/txtt/m/n/10 (New in ver
sion v2.21) int optional; specifies the
[682]
Underfull \hbox (badness 10000) in paragraph at lines 75620--75622
[]\T1/txtt/bx/n/10 source \T1/qtm/m/n/10 (\T1/txtt/m/n/10 str\T1/qtm/m/n/10 ) ^
^U Resid-u-als chart data source. Check

Underfull \hbox (badness 10000) in paragraph at lines 75656--75658
[]\T1/txtt/bx/n/10 source \T1/qtm/m/n/10 (\T1/txtt/m/n/10 str\T1/qtm/m/n/10 ) ^
^U Roc Curve data source. Check
[683] [684]
Underfull \hbox (badness 10000) in paragraph at lines 75933--75942
[]\T1/txtt/bx/n/10 scoring_type \T1/qtm/m/n/10 (\T1/txtt/m/n/10 Optional[str]\T
1/qtm/m/n/10 ) ^^U Ei-ther \T1/txtt/m/n/10 validation \T1/qtm/m/n/10 or \T1/txt
t/m/n/10 crossValidation
[685]
Underfull \hbox (badness 10000) in paragraph at lines 76002--76007
[]\T1/qtm/m/n/10 All du-ra-tions should be spec-i-fied with a du-ra-tion string
 such as those re-turned by the

Underfull \hbox (badness 8075) in paragraph at lines 76002--76007
[][]\T1/txtt/m/sl/10 partitioning_methods.construct_duration_string[][] \T1/qtm
/m/n/10 helper method. Please see [][]\T1/qtm/m/it/10 date-time

Underfull \hbox (badness 7133) in paragraph at lines 76015--76018
\T1/qtm/m/n/10 be used to train the model. If spec-i-fied, nei-ther \T1/txtt/m/
n/10 training_duration \T1/qtm/m/n/10 nor
[686] [687] [688] [689] [690] [691] [692]
Underfull \hbox (badness 10000) in paragraph at lines 77166--77169
[]\T1/qtm/m/n/10 This is the spec-i-fi-ca-tion that should be passed to [][]\T1
/txtt/m/sl/10 Project.analyze_and_model[][] \T1/qtm/m/n/10 via the

Underfull \hbox (badness 10000) in paragraph at lines 77176--77179
[]\T1/qtm/m/n/10 Note that ei-ther (\T1/txtt/m/n/10 holdout_start_date\T1/qtm/m
/n/10 , \T1/txtt/m/n/10 holdout_duration\T1/qtm/m/n/10 ) or (\T1/txtt/m/n/10 ho
ldout_start_date\T1/qtm/m/n/10 ,

Underfull \hbox (badness 10000) in paragraph at lines 77187--77190
[]\T1/txtt/bx/n/10 autopilot_data_selection_method \T1/qtm/m/n/10 (\T1/txtt/m/n
/10 str\T1/qtm/m/n/10 ) ^^U one of \T1/txtt/m/n/10 datarobot.enums.

Underfull \hbox (badness 7133) in paragraph at lines 77187--77190
\T1/txtt/m/n/10 DATETIME_AUTOPILOT_DATA_SELECTION_METHOD\T1/qtm/m/n/10 . Whethe
r mod-els cre-ated by the
[693] [694]
Underfull \hbox (badness 6927) in paragraph at lines 77304--77307
[]\T1/txtt/bx/n/10 periodicities \T1/qtm/m/n/10 (\T1/txtt/m/n/10 list \T1/qtm/m
/n/10 of [][]\T1/txtt/m/sl/10 Periodicity[][]\T1/qtm/m/n/10 , \T1/qtm/m/it/10 o
p-tional\T1/qtm/m/n/10 ) ^^U (New in ver-sion v2.9) a
[695] [696]
Underfull \hbox (badness 10000) in paragraph at lines 77493--77498
[]\T1/qtm/m/n/10 Op-tion 2 (New in ver-sion v2.20): Use \T1/txtt/m/n/10 index\T
1/qtm/m/n/10 , \T1/txtt/m/n/10 primary_training_start_date\T1/qtm/m/n/10 ,
[697]
Underfull \hbox (badness 10000) in paragraph at lines 77671--77673
[]\T1/txtt/bx/n/10 time_unit \T1/qtm/m/n/10 (\T1/txtt/m/n/10 string\T1/qtm/m/n/
10 ) ^^U Time step unit, valid op-tions are val-ues from
[698]
Underfull \hbox (badness 10000) in paragraph at lines 77771--77774
[]\T1/txtt/bx/n/10 autopilot_data_selection_method \T1/qtm/m/n/10 (\T1/txtt/m/n
/10 str\T1/qtm/m/n/10 ) ^^U one of \T1/txtt/m/n/10 datarobot.enums.

Underfull \hbox (badness 7133) in paragraph at lines 77771--77774
\T1/txtt/m/n/10 DATETIME_AUTOPILOT_DATA_SELECTION_METHOD\T1/qtm/m/n/10 . Whethe
r mod-els cre-ated by the
[699] [700]
Underfull \hbox (badness 6927) in paragraph at lines 77944--77947
[]\T1/txtt/bx/n/10 periodicities \T1/qtm/m/n/10 (\T1/txtt/m/n/10 list \T1/qtm/m
/n/10 of [][]\T1/txtt/m/sl/10 Periodicity[][]\T1/qtm/m/n/10 , \T1/qtm/m/it/10 o
p-tional\T1/qtm/m/n/10 ) ^^U (New in ver-sion v2.9) a
[701] [702] [703] [704] [705]
Underfull \hbox (badness 10000) in paragraph at lines 78602--78605
[]\T1/qtm/m/n/10 This is the spec-i-fi-ca-tion that should be passed to [][]\T1
/txtt/m/sl/10 Project.analyze_and_model[][] \T1/qtm/m/n/10 via the

Underfull \hbox (badness 10000) in paragraph at lines 78602--78605
\T1/txtt/m/n/10 partitioning_method \T1/qtm/m/n/10 pa-ram-e-ter. To see the ful
l par-ti-tion-ing use [][]\T1/txtt/m/sl/10 DatetimePartitioning.
[706] [707]
Underfull \hbox (badness 5741) in paragraph at lines 78824--78832
\T1/qtm/m/n/10 and \T1/txtt/m/n/10 validation_duration\T1/qtm/m/n/10 ). If \T1/
txtt/m/n/10 True\T1/qtm/m/n/10 , will use a start/end date ap-proach for
[708] [709] [710] [711] [712]
Underfull \hbox (badness 6364) in paragraph at lines 79519--79521
\T1/txtt/bx/n/10 ValueError: \T1/qtm/m/n/10 ^^U If the generic Job was not a pr
e-dict job, e.g. job_type !=
[713] [714] [715] [716]
Underfull \hbox (badness 10000) in paragraph at lines 80113--80115
[]\T1/txtt/bx/n/10 supported_model_formats \T1/qtm/m/n/10 (\T1/txtt/m/n/10 list
[PredictionEnvironmentModelFormats]\T1/qtm/m/n/10 , \T1/qtm/m/it/10 op-
[717] [718] [719] [720]
Underfull \hbox (badness 10000) in paragraph at lines 80593--80596
[]\T1/qtm/m/n/10 Com-pute a Pre-dic-tion-Ex-pla-na-tion-sIni-tial-iza-tion for 
the model via \T1/txtt/m/n/10 datarobot.

Underfull \hbox (badness 10000) in paragraph at lines 80598--80601
[]\T1/qtm/m/n/10 Com-pute pre-dic-tions for the model and dataset via \T1/txtt/
m/n/10 datarobot.Model.
[721]
Underfull \hbox (badness 6708) in paragraph at lines 80671--80677
\T1/qtm/m/n/10 Cre-ate pre-dic-tion ex-pla-na-tions for the the dataset used to
 train the model. This can be

Underfull \hbox (badness 6927) in paragraph at lines 80671--80677
\T1/qtm/m/n/10 re-trieved by call-ing \T1/txtt/m/n/10 dr.Model.get().featurelis
t_id\T1/qtm/m/n/10 . For OTV and time-series projects,

Underfull \hbox (badness 10000) in paragraph at lines 80687--80690
[]\T1/qtm/m/n/10 Com-pute a Pre-dic-tion-Ex-pla-na-tion-sIni-tial-iza-tion for 
the model via \T1/txtt/m/n/10 datarobot.

Underfull \hbox (badness 10000) in paragraph at lines 80692--80695
[]\T1/qtm/m/n/10 Com-pute pre-dic-tions for the model and dataset via \T1/txtt/
m/n/10 datarobot.Model.
[722] [723] [724] [725] [726] [727] [728] [729] [730] [731] [732] [733]
Underfull \hbox (badness 10000) in paragraph at lines 82260--82262
[]\T1/txtt/bx/n/10 catalog_version_id \T1/qtm/m/n/10 (\T1/txtt/m/n/10 str\T1/qt
m/m/n/10 ) ^^U (New in ver-sion v3.0) The ob-ject ID of the
[734] [735] [736] [737] [738] [739]
Underfull \hbox (badness 10000) in paragraph at lines 82929--82935
\T1/qtm/m/n/10 the [][]\T1/qtm/m/it/10 Par-ti-tion Classes[][] \T1/qtm/m/n/10 d
e-fined in \T1/txtt/m/n/10 datarobot.helpers.partitioning_methods\T1/qtm/m/n/10
 .

Underfull \hbox (badness 10000) in paragraph at lines 82929--82935
\T1/qtm/m/n/10 As an al-ter-na-tive, use [][]\T1/txtt/m/sl/10 Project.set_parti
tioning_method[][] \T1/qtm/m/n/10 or [][]\T1/txtt/m/sl/10 Project.
[740]
Underfull \hbox (badness 10000) in paragraph at lines 83013--83020
[]\T1/txtt/bx/n/10 bias_mitigation_technique \T1/qtm/m/n/10 (\T1/txtt/m/n/10 Op
tional[str]\T1/qtm/m/n/10 ) ^^U One of

Underfull \hbox (badness 10000) in paragraph at lines 83013--83020
\T1/qtm/m/n/10 datarobot.enums.BiasMitigationTechnique Op-tions: - `pre-pro-ces
s-in-gReweigh-ing' -

Underfull \hbox (badness 7944) in paragraph at lines 83013--83020
\T1/qtm/m/n/10 `post-Pro-cess-in-gRe-jec-tionOp-tion-Based-Clas-si-fi-ca-tion' 
The tech-nique by which we'll

Underfull \hbox (badness 10000) in paragraph at lines 83022--83026
[]\T1/txtt/bx/n/10 include_bias_mitigation_feature_as_predictor_variable

Overfull \vbox (15.79999pt too high) detected at line 83079
[741] [742]
Underfull \hbox (badness 10000) in paragraph at lines 83303--83309
\T1/qtm/m/n/10 the [][]\T1/qtm/m/it/10 Par-ti-tion Classes[][] \T1/qtm/m/n/10 d
e-fined in \T1/txtt/m/n/10 datarobot.helpers.partitioning_methods\T1/qtm/m/n/10
 .

Underfull \hbox (badness 10000) in paragraph at lines 83303--83309
\T1/qtm/m/n/10 As an al-ter-na-tive, use [][]\T1/txtt/m/sl/10 Project.set_parti
tioning_method[][] \T1/qtm/m/n/10 or [][]\T1/txtt/m/sl/10 Project.
[743] [744]
Underfull \hbox (badness 10000) in paragraph at lines 83505--83511
\T1/qtm/m/n/10 the [][]\T1/qtm/m/it/10 Par-ti-tion Classes[][] \T1/qtm/m/n/10 d
e-fined in \T1/txtt/m/n/10 datarobot.helpers.partitioning_methods\T1/qtm/m/n/10
 .

Underfull \hbox (badness 10000) in paragraph at lines 83505--83511
\T1/qtm/m/n/10 As an al-ter-na-tive, use [][]\T1/txtt/m/sl/10 Project.set_parti
tioning_method[][] \T1/qtm/m/n/10 or [][]\T1/txtt/m/sl/10 Project.
[745]
Underfull \hbox (badness 10000) in paragraph at lines 83551--83553
[]\T1/txtt/bx/n/10 class_mapping_aggregation_settings \T1/qtm/m/n/10 (\T1/txtt/
m/n/10 ClassMappingAggregationSettings\T1/qtm/m/n/10 ,
[746] [747]
Underfull \hbox (badness 10000) in paragraph at lines 83795--83803
\T1/qtm/m/n/10 level: \T1/qtm/m/it/10 mono-tonic_increasing_featurelist_id\T1/q
tm/m/n/10 , \T1/qtm/m/it/10 mono-tonic_decreasing_featurelist_id\T1/qtm/m/n/10 
,

Underfull \hbox (badness 10000) in paragraph at lines 83795--83803
\T1/qtm/m/it/10 sup-ports_composable_ml \T1/qtm/m/n/10 and \T1/qtm/m/it/10 sup-
ports_monotonic_constraints\T1/qtm/m/n/10 . Fol-low-ing at-

Underfull \hbox (badness 10000) in paragraph at lines 83795--83803
\T1/qtm/m/n/10 tributes are ab-sent and could be re-trieved from the in-di-vid-
ual model level:

Underfull \hbox (badness 10000) in paragraph at lines 83795--83803
\T1/qtm/m/it/10 has_empty_clusters\T1/qtm/m/n/10 , \T1/qtm/m/it/10 is_n_cluster
s_dynamically_determined\T1/qtm/m/n/10 , \T1/qtm/m/it/10 pre-dic-tion_threshold

[748]
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[749] [750]
Underfull \hbox (badness 10000) in paragraph at lines 84153--84155
[]\T1/txtt/bx/n/10 credentials \T1/qtm/m/n/10 (\T1/txtt/m/n/10 Optional[List] a
 list \T1/qtm/m/n/10 of \T1/txtt/m/n/10 credentials for the datasets
[751]
Underfull \hbox (badness 7649) in paragraph at lines 84192--84195
[]\T1/txtt/bx/n/10 ValueError \T1/qtm/m/n/10 ^^U Raised if \T1/txtt/m/n/10 fore
cast_point \T1/qtm/m/n/10 or \T1/txtt/m/n/10 predictions_start_date \T1/qtm/m/n
/10 and

Underfull \hbox (badness 10000) in paragraph at lines 84247--84249
[]\T1/txtt/bx/n/10 credentials \T1/qtm/m/n/10 (\T1/txtt/m/n/10 Optional[List] a
 list \T1/qtm/m/n/10 of \T1/txtt/m/n/10 credentials for the datasets
[752]
Underfull \hbox (badness 10000) in paragraph at lines 84312--84318
[]\T1/txtt/bx/n/10 credential_data \T1/qtm/m/n/10 (\T1/txtt/m/n/10 BasicCredent
ialsDataDict | S3CredentialsDataDict |
[753] [754]
Overfull \hbox (0.89392pt too wide) in paragraph at lines 84578--84582
[]\T1/txtt/bx/n/10 credentials \T1/qtm/m/n/10 (\T1/txtt/m/n/10 list[BasicCreden
tialsDict | CredentialIdCredentialsDict]\T1/qtm/m/n/10 ,
[755] [756] [757] [758] [759] [760] [761] [762] [763]
Underfull \hbox (badness 10000) in paragraph at lines 85667--85676
[]\T1/txtt/bx/n/10 scoring_type \T1/qtm/m/n/10 (\T1/txtt/m/n/10 Optional[str]\T
1/qtm/m/n/10 ) ^^U Ei-ther \T1/txtt/m/n/10 validation \T1/qtm/m/n/10 or \T1/txt
t/m/n/10 crossValidation
[764]
Underfull \hbox (badness 10000) in paragraph at lines 85766--85771
[]\T1/qtm/m/n/10 All du-ra-tions should be spec-i-fied with a du-ra-tion string
 such as those re-turned by the

Underfull \hbox (badness 8075) in paragraph at lines 85766--85771
[][]\T1/txtt/m/sl/10 partitioning_methods.construct_duration_string[][] \T1/qtm
/m/n/10 helper method. Please see [][]\T1/qtm/m/it/10 date-time

Underfull \hbox (badness 7133) in paragraph at lines 85783--85786
\T1/qtm/m/n/10 be used to train the model. If spec-i-fied, nei-ther \T1/txtt/m/
n/10 training_duration \T1/qtm/m/n/10 nor
[765] [766]
Underfull \hbox (badness 10000) in paragraph at lines 85985--85990
\T1/txtt/bx/n/10 status \T1/qtm/m/n/10 (\T1/txtt/m/n/10 QUEUE_STATUS enum\T1/qt
m/m/n/10 , \T1/qtm/m/it/10 op-tional\T1/qtm/m/n/10 ) ^^U If called with
[767]
Underfull \hbox (badness 10000) in paragraph at lines 86163--86168
\T1/txtt/bx/n/10 status \T1/qtm/m/n/10 (\T1/txtt/m/n/10 QUEUE_STATUS enum\T1/qt
m/m/n/10 , \T1/qtm/m/it/10 op-tional\T1/qtm/m/n/10 ) ^^U If called with

Underfull \hbox (badness 5345) in paragraph at lines 86163--86168
\T1/qtm/m/n/10 QUEUE_STATUS.INPROGRESS, will re-turn the mod-el-ing jobs that a
re cur-rently
[768]
Underfull \hbox (badness 10000) in paragraph at lines 86208--86213
\T1/txtt/bx/n/10 status \T1/qtm/m/n/10 (\T1/txtt/m/n/10 QUEUE_STATUS enum\T1/qt
m/m/n/10 , \T1/qtm/m/it/10 op-tional\T1/qtm/m/n/10 ) ^^U If called with
[769] [770] [771]
Underfull \hbox (badness 10000) in paragraph at lines 86601--86607
[]\T1/txtt/bx/n/10 fairness_metrics_set \T1/qtm/m/n/10 (\T1/txtt/m/n/10 Optiona
l[str].\T1/qtm/m/n/10 ) ^^U (New in ver-sion v2.24) Met-

Underfull \hbox (badness 10000) in paragraph at lines 86601--86607
\T1/qtm/m/n/10 ric to use for cal-cu-lat-ing fair-ness. Can be one of \T1/txtt/
m/n/10 proportionalParity\T1/qtm/m/n/10 ,
[772]
Underfull \hbox (badness 10000) in paragraph at lines 86620--86627
[]\T1/txtt/bx/n/10 bias_mitigation_technique \T1/qtm/m/n/10 (\T1/txtt/m/n/10 Op
tional[str]\T1/qtm/m/n/10 ) ^^U One of

Underfull \hbox (badness 10000) in paragraph at lines 86620--86627
\T1/qtm/m/n/10 datarobot.enums.BiasMitigationTechnique Op-tions: - `pre-pro-ces
s-in-gReweigh-ing' -

Underfull \hbox (badness 7944) in paragraph at lines 86620--86627
\T1/qtm/m/n/10 `post-Pro-cess-in-gRe-jec-tionOp-tion-Based-Clas-si-fi-ca-tion' 
The tech-nique by which we'll

Underfull \hbox (badness 10000) in paragraph at lines 86629--86633
[]\T1/txtt/bx/n/10 include_bias_mitigation_feature_as_predictor_variable

Overfull \hbox (3.89389pt too wide) in paragraph at lines 86664--86668
[]\T1/txtt/bx/n/10 number_of_incremental_learning_iterations_before_best_model_
selection
[773]
Underfull \hbox (badness 10000) in paragraph at lines 86785--86788
[]\T1/txtt/bx/n/10 partitioning_method \T1/qtm/m/n/10 (\T1/txtt/m/n/10 Partitio
ningMethod\T1/qtm/m/n/10 , \T1/qtm/m/it/10 op-tional\T1/qtm/m/n/10 ) ^^U An in-
stance of

Underfull \hbox (badness 10000) in paragraph at lines 86785--86788
\T1/txtt/m/n/10 datarobot.helpers.partitioning_methods.PartitioningMethod \T1/q
tm/m/n/10 that will
[774] [775] [776]
Underfull \hbox (badness 10000) in paragraph at lines 87076--87078
[]\T1/txtt/bx/n/10 ValueError \T1/qtm/m/n/10 ^^U If value of \T1/txtt/m/n/10 va
riable_type \T1/qtm/m/n/10 is not from \T1/txtt/m/n/10 datarobot.enums.
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[]\T1/txtt/bx/n/10 bias_mitigation_technique \T1/qtm/m/n/10 (\T1/txtt/m/n/10 Op
tional[str]\T1/qtm/m/n/10 ) ^^U One of

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\T1/qtm/m/n/10 datarobot.enums.BiasMitigationTechnique Op-tions: - `pre-pro-ces
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\T1/qtm/m/n/10 `post-Pro-cess-in-gRe-jec-tionOp-tion-Based-Clas-si-fi-ca-tion' 
The tech-nique by which we'll
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[]\T1/qtm/m/n/10 This is an al-ter-na-tive to pass-ing a spec-i-fi-ca-tion to [
][]\T1/txtt/m/sl/10 Project.analyze_and_model[][] \T1/qtm/m/n/10 via the

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\T1/txtt/bx/n/10 datetime_partition_spec \T1/qtm/m/n/10 ([][]\T1/txtt/m/sl/10 D
atetimePartitioningSpecification[][]\T1/qtm/m/n/10 ) ^^U
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\T1/qtm/m/n/10 tion win-dows set-tings. If present, time-aware joins will be us
ed. Only al-
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[]\T1/txtt/bx/n/10 prediction_point_rounding \T1/qtm/m/n/10 (\T1/txtt/m/n/10 Op
tional[int]\T1/qtm/m/n/10 ) ^^U Clos-est value of pre-dic-

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/n/10 datarobot.enums.
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ed. Only al-

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[]\T1/txtt/bx/n/10 prediction_point_rounding \T1/qtm/m/n/10 (\T1/txtt/m/n/10 in
t\T1/qtm/m/n/10 , or \T1/txtt/m/n/10 None\T1/qtm/m/n/10 ) ^^U Clos-est value of
 pre-dic-
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\T1/qtm/m/n/10 Time unit of the fea-ture deriva-tion win-dow. One of \T1/txtt/m
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[]\T1/txtt/bx/n/10 specifying \T1/qtm/m/n/10 (\T1/txtt/m/sl/10 To see the list 
of possible settings, create a

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[]\T1/txtt/bx/n/10 dataset_definitions \T1/qtm/m/n/10 (\T1/txtt/m/n/10 list \T1
/qtm/m/n/10 of \T1/txtt/m/n/10 DatasetDefinition\T1/qtm/m/n/10 ) ^^U Each el-e-
ment is a

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helpers.feature_discovery.
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[]\T1/txtt/bx/n/10 dataset_definitions \T1/qtm/m/n/10 (\T1/txtt/m/n/10 List[Dat
asetDefinition]\T1/qtm/m/n/10 ) ^^U Each el-e-ment is a

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helpers.feature_discovery.
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[]\T1/txtt/bx/n/10 shap_warnings \T1/qtm/m/n/10 ([][]\T1/txtt/m/sl/10 list[][]\
T1/qtm/m/n/10 ) ^^U (New in ver-sion v2.21) Will

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[]\T1/txtt/bx/n/10 hex_column_name_lookup \T1/qtm/m/n/10 (\T1/txtt/m/n/10 list[
UserBlueprintsHexColumnNameLookupEntry]\T1/qtm/m/n/10 ,
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[]\T1/txtt/bx/n/10 supported_target_types \T1/qtm/m/n/10 (\T1/txtt/m/n/10 list[
enum(\TS1/txtt/m/n/10 ``\T1/qtm/m/n/10 'binary'\T1/txtt/m/n/10 , \TS1/txtt/m/n/
10 ``'\T1/txtt/m/n/10 multiclass\TS1/txtt/m/n/10 '\T1/qtm/m/n/10 ,
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[]\T1/txtt/bx/n/10 task_parameters \T1/qtm/m/n/10 (\T1/txtt/m/n/10 list(UserBlu
eprintTaskParameterValidationRequestParamItem)\T1/qtm/m/n/10 )

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[]\T1/txtt/bx/n/10 share_recipient_type \T1/qtm/m/n/10 (\T1/txtt/m/n/10 enum(\T
S1/txtt/m/n/10 ``\T1/qtm/m/n/10 'user'\T1/txtt/m/n/10 , \TS1/txtt/m/n/10 ``'\T1
/txtt/m/n/10 group\TS1/txtt/m/n/10 '\T1/qtm/m/n/10 , \TS1/txtt/m/n/10 '\T1/txtt
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[]\T1/txtt/bx/n/10 roles \T1/qtm/m/n/10 (\T1/txtt/m/n/10 list(or(GrantAccessCon
trolWithUsernameValidator\T1/qtm/m/n/10 ,

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[]\T1/txtt/bx/n/10 limit \T1/qtm/m/n/10 (\T1/txtt/m/n/10 int\T1/qtm/m/n/10 , \T
1/txtt/m/n/10 Optional. (default\T1/qtm/m/n/10 : \T1/txtt/m/n/10 0)\T1/qtm/m/n/
10 , \T1/txtt/m/n/10 at most this many results are
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[]\T1/txtt/bx/n/10 added_to_menu \T1/qtm/m/n/10 (\T1/txtt/m/n/10 list(UserBluep
rintAddedToMenuItem)\T1/qtm/m/n/10 ) ^^U The list of
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[]\T1/txtt/bx/n/10 task_parameters \T1/qtm/m/n/10 (\T1/txtt/m/n/10 list(UserBlu
eprintTaskParameterValidationRequestParamItem)\T1/qtm/m/n/10 )
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[]\T1/txtt/bx/n/10 description \T1/qtm/m/n/10 (\T1/txtt/m/n/10 Optional[str] (D
efault=None)\T1/qtm/m/n/10 ) ^^U The de-scrip-tion of the user
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[]\T1/txtt/bx/n/10 limit \T1/qtm/m/n/10 (\T1/txtt/m/n/10 int\T1/qtm/m/n/10 , \T
1/txtt/m/n/10 Optional. (default\T1/qtm/m/n/10 : \T1/txtt/m/n/10 0)\T1/qtm/m/n/
10 , \T1/txtt/m/n/10 at most this many results are
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[]\T1/txtt/bx/n/10 datasource_info \T1/qtm/m/n/10 (\T1/txtt/m/n/10 Union[Dataso
urceDataWarehouseInfo\T1/qtm/m/n/10 ,
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[]\T1/qtm/m/n/10 Added new at-tributes \T1/txtt/m/n/10 prediction_point\T1/qtm/
m/n/10 , \T1/txtt/m/n/10 relationships_configuration_id \T1/qtm/m/n/10 and
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[]\T1/qtm/m/n/10 Add new at-tributes to [][]\T1/txtt/m/sl/10 VectorDatabase[][]
\T1/qtm/m/n/10 : \T1/txtt/m/n/10 parent_id\T1/qtm/m/n/10 , \T1/txtt/m/n/10 fami
ly_id\T1/qtm/m/n/10 , \T1/txtt/m/n/10 metadata_columns\T1/qtm/m/n/10 ,

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\T1/txtt/m/n/10 added_dataset_ids\T1/qtm/m/n/10 , \T1/txtt/m/n/10 added_dataset
_names\T1/qtm/m/n/10 , and\TS1/qtm/m/n/10 `\T1/qtm/m/n/10 version\TS1/qtm/m/n/1
0 `\T1/qtm/m/n/10 . [][]\T1/txtt/m/sl/10 VectorDatabase.

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\T1/txtt/m/sl/10 get_supported_retrieval_settings[][] \T1/qtm/m/n/10 to re-trie
ve sup-ported re-trieval set-tings. [][]\T1/txtt/m/sl/10 VectorDatabase.
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[]\T1/qtm/m/n/10 Up-dated the schema for [][]\T1/txtt/m/sl/10 EvaluationDataset
MetricAggregation[][] \T1/qtm/m/n/10 to in-clude the new at-tributes

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[]\T1/qtm/m/n/10 Fixed field in [][]\T1/txtt/m/sl/10 CustomTaskVersion[][] \T1/
qtm/m/n/10 for con-trol-ling net-work poli-cies. This is changed from
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[]\T1/qtm/m/n/10 Dep-re-cated [][]\T1/txtt/m/sl/10 Model.request_fairness_insig
hts[][]\T1/qtm/m/n/10 . Please use [][]\T1/txtt/m/sl/10 Model.

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[]\T1/qtm/m/n/10 Re-named \T1/txtt/m/n/10 datarobot.enums.CustomTaskOutgoingNet
workPolicy \T1/qtm/m/n/10 to [][]\T1/txtt/m/sl/10 datarobot.enums.

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[]\T1/qtm/m/n/10 Up-dated the de-scrip-tion for the pa-ram-e-ter: `num-ber_of_i
ncremental_learning_iterations_before_best_model_selection'
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\T1/qtm/m/n/10 -[][]\T1/txtt/m/sl/10 DatasetInfo[][] \T1/qtm/m/n/10 -[][]\T1/tx
tt/m/sl/10 DynamicDatasetProps[][] \T1/qtm/m/n/10 -[][]\T1/txtt/m/sl/10 RowsChu
nkDefinition[][] \T1/qtm/m/n/10 -[][]\T1/txtt/m/sl/10 FeaturesChunkDefinition[]
[] \T1/qtm/m/n/10 -

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[]\T1/qtm/m/n/10 Added new method \T1/txtt/m/n/10 update \T1/qtm/m/n/10 to {cla
ss}\TS1/qtm/m/n/10 `\T1/qtm/m/n/10 ChunkDefinition <datarobot._experimental.mod
els.chunking_service_v2.ChunkDefinition> 

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[]\T1/txtt/m/n/10 datarobot._experimental.models.time_series_wrangling_template
.user_flow_template

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[]\T1/qtm/m/n/10 Added a new class [][]\T1/txtt/m/sl/10 HostedCustomMetricTempl
ate[][] \T1/qtm/m/n/10 for hosted cus-tom met-rics tem-

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\T1/qtm/m/n/10 plates. [][]\T1/txtt/m/sl/10 HostedCustomMetricTemplate.get[][] 
\T1/qtm/m/n/10 to re-trieve a hosted cus-tom met-ric tem-plate.

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[][]\T1/txtt/m/sl/10 HostedCustomMetricBlueprint.get[][] \T1/qtm/m/n/10 to get 
a hosted cus-tom met-ric blueprint.

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[][]\T1/txtt/m/sl/10 HostedCustomMetricBlueprint.create[][] \T1/qtm/m/n/10 to c
re-ate a hosted cus-tom met-ric blueprint.

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[]\T1/qtm/m/n/10 Added a new class \T1/txtt/m/n/10 EvaluationDatasetConfigurati
on <datarobot._experimental.models.

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\T1/txtt/m/n/10 genai.evaluation_dataset_configuration.EvaluationDatasetConfigu
ration> \T1/qtm/m/n/10 for con-fig-u-ra-

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\T1/txtt/m/n/10 models.genai.evaluation_dataset_configuration.EvaluationDataset
Configuration.

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\T1/txtt/m/n/10 get> \T1/qtm/m/n/10 to get an eval-u-a-tion dataset con-fig-u-r
a-tion. \T1/txtt/m/n/10 EvaluationDatasetConfiguration.

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\T1/txtt/m/n/10 list <datarobot._experimental.models.genai.evaluation_dataset_c
onfiguration.

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\T1/txtt/m/n/10 EvaluationDatasetConfiguration.list> \T1/qtm/m/n/10 to list the
 eval-u-a-tion dataset con-fig-u-ra-tions for

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\T1/qtm/m/n/10 a Use Case. \T1/txtt/m/n/10 EvaluationDatasetConfiguration.creat
e <datarobot._experimental.

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\T1/txtt/m/n/10 models.genai.evaluation_dataset_configuration.EvaluationDataset
Configuration.

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\T1/txtt/m/n/10 create> \T1/qtm/m/n/10 to cre-ate an eval-u-a-tion dataset con-
fig-u-ra-tion. \T1/txtt/m/n/10 EvaluationDatasetConfiguration.

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\T1/txtt/m/n/10 update <datarobot._experimental.models.genai.evaluation_dataset
_configuration.

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\T1/txtt/m/n/10 EvaluationDatasetConfiguration.update> \T1/qtm/m/n/10 to up-dat
e an eval-u-a-tion dataset con-fig-u-ra-tion.

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\T1/txtt/m/n/10 EvaluationDatasetConfiguration.delete <datarobot._experimental.
models.genai.

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\T1/txtt/m/n/10 evaluation_dataset_configuration.EvaluationDatasetConfiguration
.delete> \T1/qtm/m/n/10 to delete an
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\T1/txtt/m/n/10 genai.evaluation_dataset_metric_aggregation.EvaluationDatasetMe
tricAggregation>

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\T1/qtm/m/n/10 for met-ric ag-gre-ga-tion re-sults. \T1/txtt/m/n/10 EvaluationD
atasetMetricAggregation.list

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\T1/txtt/m/n/10 <datarobot._experimental.models.genai.evaluation_dataset_metric
_aggregation.

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\T1/txtt/m/n/10 EvaluationDatasetMetricAggregation.list> \T1/qtm/m/n/10 to get 
the met-ric ag-gre-ga-tion re-sults.

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\T1/txtt/m/n/10 EvaluationDatasetMetricAggregation.create <datarobot._experimen
tal.models.

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\T1/txtt/m/n/10 genai.evaluation_dataset_metric_aggregation.EvaluationDatasetMe
tricAggregation.

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\T1/txtt/m/n/10 create> \T1/qtm/m/n/10 to cre-ate the met-ric ag-gre-ga-tion jo
b. \T1/txtt/m/n/10 EvaluationDatasetMetricAggregation.delete

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\T1/txtt/m/n/10 <datarobot._experimental.models.genai.evaluation_dataset_metric
_aggregation.

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[]\T1/qtm/m/n/10 Added a new class \T1/txtt/m/n/10 SyntheticEvaluationDataset <
datarobot._experimental.models.genai.

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[]\T1/qtm/m/n/10 Added a new class \T1/txtt/m/n/10 SidecarModelMetricValidation
 <datarobot._experimental.models.

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\T1/txtt/m/n/10 genai.sidecar_model_metric.SidecarModelMetricValidation> \T1/qt
m/m/n/10 for side-car model met-ric val-i-

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\T1/qtm/m/n/10 da-tions. \T1/txtt/m/n/10 SidecarModelMetricValidation.create <d
atarobot._experimental.models.genai.

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\T1/txtt/m/n/10 sidecar_model_metric.SidecarModelMetricValidation.create> \T1/q
tm/m/n/10 to cre-ate a side-car model

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\T1/qtm/m/n/10 met-ric val-i-da-tion. \T1/txtt/m/n/10 SidecarModelMetricValidat
ion.list <datarobot._experimental.models.

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\T1/qtm/m/n/10 val-i-da-tions. \T1/txtt/m/n/10 SidecarModelMetricValidation.get
 <datarobot._experimental.models.genai.

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\T1/qtm/m/n/10 tion. \T1/txtt/m/n/10 SidecarModelMetricValidation.revalidate <d
atarobot._experimental.models.genai.
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[]\T1/qtm/m/n/10 Im-ple-mented sup-port for \T1/txtt/m/n/10 dr[]connector[]v1 \
T1/qtm/m/n/10 to \T1/txtt/m/n/10 DataStore <datarobot.models.DataStore> \T1/qtm
/m/n/10 and

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[]\T1/qtm/m/n/10 Added a new pa-ram-e-ter \T1/txtt/m/n/10 entity_type \T1/qtm/m
/n/10 to the \T1/txtt/m/n/10 compute \T1/qtm/m/n/10 and \T1/txtt/m/n/10 create 
\T1/qtm/m/n/10 meth-ods of the classes
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[]\T1/qtm/m/n/10 Ex-tended the ad-vanced op-tions avail-able when set-ting a ta
r-get to in-clude new pa-ram-e-ter:
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[][][]\T1/txtt/m/sl/10 RuntimeParameterValue[][] \T1/qtm/m/n/10 to de-fine run-
time pa-ram-e-ter over-ride value, to be as-signed to

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[]\T1/qtm/m/n/10 Added new pa-ram-e-ter \T1/txtt/m/n/10 prediction_threshold \T
1/qtm/m/n/10 to [][]\T1/txtt/m/sl/10 BatchPredictionJob.

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\T1/txtt/m/sl/10 score_with_leaderboard_model[][] \T1/qtm/m/n/10 and [][]\T1/tx
tt/m/sl/10 BatchPredictionJob.score[][] \T1/qtm/m/n/10 that au-to-mat-i-cally a
s-signs the
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[]\T1/qtm/m/n/10 Added new enum value to \T1/txtt/m/n/10 datarobot.enums.TARGET
_TYPE \T1/qtm/m/n/10 and \T1/txtt/m/n/10 datarobot.enums.
[912]
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[]\T1/qtm/m/n/10 Added a new pa-ram-e-ter \T1/txtt/m/n/10 base_environment_vers
ion_id \T1/qtm/m/n/10 to [][]\T1/txtt/m/sl/10 CustomModelVersion.

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[]\T1/qtm/m/n/10 Added a new class \T1/txtt/m/n/10 PromptTrace <datarobot._expe
rimental.models.genai.prompt_trace.

Underfull \hbox (badness 10000) in paragraph at lines 106871--106875
\T1/txtt/m/n/10 list <datarobot._experimental.models.genai.prompt_trace.PromptT
race.list> \T1/qtm/m/n/10 to list

Underfull \hbox (badness 10000) in paragraph at lines 106871--106875
\T1/txtt/m/n/10 _experimental.models.genai.prompt_trace.PromptTrace.export_to_a
i_catalog> \T1/qtm/m/n/10 to ex-port

Underfull \hbox (badness 10000) in paragraph at lines 106877--106880
[]\T1/qtm/m/n/10 Added a new class \T1/txtt/m/n/10 InsightsConfiguration <datar
obot._experimental.models.genai.

Underfull \hbox (badness 10000) in paragraph at lines 106882--106886
\T1/txtt/m/n/10 models.genai.insights_configuration.Insights.get> \T1/qtm/m/n/1
0 to get the cur-rent in-sights con-fig-

Underfull \hbox (badness 10000) in paragraph at lines 106882--106886
\T1/qtm/m/n/10 u-ra-tion for a play-ground. \T1/txtt/m/n/10 Insights.create <da
tarobot._experimental.models.genai.

Underfull \hbox (badness 10000) in paragraph at lines 106888--106894
\T1/txtt/m/n/10 models.genai.cost_metric_configurations.CostMetricConfiguration
.get> \T1/qtm/m/n/10 to get the cost

Underfull \hbox (badness 10000) in paragraph at lines 106888--106894
\T1/qtm/m/n/10 met-ric con-fig-u-ra-tion. \T1/txtt/m/n/10 CostMetricConfigurati
on.create <datarobot._experimental.models.

Underfull \hbox (badness 10000) in paragraph at lines 106888--106894
\T1/qtm/m/n/10 con-fig-u-ra-tion. \T1/txtt/m/n/10 CostMetricConfiguration.updat
e <datarobot._experimental.models.genai.

Underfull \hbox (badness 10000) in paragraph at lines 106888--106894
\T1/txtt/m/n/10 cost_metric_configurations.CostMetricConfiguration.update> \T1/
qtm/m/n/10 to up-date the cost met-ric

Underfull \hbox (badness 10000) in paragraph at lines 106888--106894
\T1/qtm/m/n/10 con-fig-u-ra-tion. \T1/txtt/m/n/10 CostMetricConfiguration.delet
e <datarobot._experimental.models.genai.
[913]
Underfull \hbox (badness 10000) in paragraph at lines 106896--106898
[]\T1/qtm/m/n/10 Added a new class \T1/txtt/m/n/10 LLMCostConfiguration <dataro
bot._experimental.models.genai.
[914]
Underfull \hbox (badness 10000) in paragraph at lines 107054--107056
[]\T1/qtm/m/n/10 Added \T1/txtt/m/n/10 custom_model_embedding_validations \T1/q
tm/m/n/10 to \T1/txtt/m/n/10 SupportedEmbeddings <datarobot.

Underfull \hbox (badness 10000) in paragraph at lines 107058--107060
[]\T1/qtm/m/n/10 Added \T1/txtt/m/n/10 embedding_validation_id \T1/qtm/m/n/10 a
nd \T1/txtt/m/n/10 is_separator_regex \T1/qtm/m/n/10 to \T1/txtt/m/n/10 VectorD
atabase <datarobot.

Underfull \hbox (badness 10000) in paragraph at lines 107092--107094
[]\T1/qtm/m/n/10 Added op-tional pa-ram-e-ter, \T1/txtt/m/n/10 feedback_result\
T1/qtm/m/n/10 , to \T1/txtt/m/n/10 ComparisonPrompt.update <datarobot.

Underfull \hbox (badness 10000) in paragraph at lines 107092--107094
\T1/txtt/m/n/10 _experimental.models.genai.comparison_prompt.ComparisonPrompt.u
pdate>\T1/qtm/m/n/10 , to up-date a
[915]
Underfull \hbox (badness 10000) in paragraph at lines 107160--107162
[]\T1/qtm/m/n/10 Added new meth-ods to the class [][]\T1/txtt/m/sl/10 Notebook[
][] \T1/qtm/m/n/10 which in-cludes [][]\T1/txtt/m/sl/10 Notebook.run[][] \T1/qt
m/m/n/10 and [][]\T1/txtt/m/sl/10 Notebook.
[916]
Underfull \hbox (badness 10000) in paragraph at lines 107247--107253
\T1/txtt/m/sl/10 create_for_external[][] \T1/qtm/m/n/10 to cre-ate a new reg-is
-tered model ver-sion from an ex-ter-nal model.

Underfull \hbox (badness 10000) in paragraph at lines 107247--107253
[][]\T1/txtt/m/sl/10 RegisteredModelVersion.list_associated_deployments[][] \T1
/qtm/m/n/10 to list de-ploy-ments as-so-ci-ated with

Underfull \hbox (badness 7362) in paragraph at lines 107247--107253
\T1/qtm/m/n/10 a reg-is-tered model ver-sion. [][]\T1/txtt/m/sl/10 RegisteredMo
delVersion.create_for_leaderboard_item[][] \T1/qtm/m/n/10 to cre-

Underfull \hbox (badness 10000) in paragraph at lines 107247--107253
\T1/qtm/m/n/10 ate a new reg-is-tered model ver-sion from a Leader-board model.
 [][]\T1/txtt/m/sl/10 RegisteredModelVersion.

Underfull \hbox (badness 10000) in paragraph at lines 107290--107292
[]\T1/qtm/m/n/10 Added method meth:\T1/txtt/m/n/10 Deployment.get_predictions_v
s_actuals_over_time <datarobot.models.
[917]
Underfull \hbox (badness 10000) in paragraph at lines 107325--107327
\T1/qtm/m/n/10 All in-ter-ac-tions with \T1/txtt/m/n/10 Project.advanced_option
s \T1/qtm/m/n/10 should be ex-pected to be through the
[918]
Underfull \hbox (badness 10000) in paragraph at lines 107430--107436
\T1/txtt/m/sl/10 run[][] [][]BatchMonitoringJob.get_status[][] [][]BatchMonitor
ingJob.cancel[][] [][]BatchMonitoringJob.

Underfull \hbox (badness 10000) in paragraph at lines 107496--107505
\T1/qtm/m/n/10 and run_once [][]\T1/txtt/m/sl/10 BatchMonitoringJobDefinition.l
ist[][] [][]BatchMonitoringJobDefinition.

Underfull \hbox (badness 10000) in paragraph at lines 107496--107505
\T1/txtt/m/sl/10 get[][] [][]BatchMonitoringJobDefinition.create[][] [][]BatchM
onitoringJobDefinition.update[][]

Underfull \hbox (badness 10000) in paragraph at lines 107496--107505
[][]\T1/txtt/m/sl/10 BatchMonitoringJobDefinition.delete[][] [][]BatchMonitorin
gJobDefinition.run_on_schedule[][]
[919]
Underfull \hbox (badness 10000) in paragraph at lines 107518--107531
\T1/txtt/m/sl/10 create_from_url[][] [][]Dataset.create_from_data_source[][] []
[]Dataset.create_from_query_generator[][]

Underfull \hbox (badness 10000) in paragraph at lines 107518--107531
[][]\T1/txtt/m/sl/10 Dataset.create_project[][] [][]Project.create[][] [][]Proj
ect.create_from_data_source[][] [][]Project.

Underfull \hbox (badness 10000) in paragraph at lines 107518--107531
\T1/txtt/m/sl/10 create_from_dataset[][] [][]Project.create_segmented_project_f
rom_clustering_model[][] [][]Project.

Underfull \hbox (badness 10000) in paragraph at lines 107559--107561
[]\T1/qtm/m/n/10 If the user con-fig-ures the client via \T1/txtt/m/n/10 Client
(...)\T1/qtm/m/n/10 , then in-voke \T1/txtt/m/n/10 Client(...,

Underfull \hbox (badness 10000) in paragraph at lines 107563--107565
[]\T1/qtm/m/n/10 If the user con-fig-ures the client via dr.config.yaml, then a
dd the prop-erty

Underfull \hbox (badness 10000) in paragraph at lines 107567--107569
[]\T1/qtm/m/n/10 If the user con-fig-ures the client via env vars, then set the
 env var

Underfull \hbox (badness 10000) in paragraph at lines 107576--107578
[]\T1/qtm/m/n/10 Added method meth:\T1/txtt/m/n/10 Deployment.get_predictions_o
ver_time <datarobot.models.Deployment.
[920]
Underfull \hbox (badness 10000) in paragraph at lines 107618--107633
\T1/txtt/m/sl/10 request_feature_effect[][] [][]Model.get_or_request_feature_ef
fect[][] [][]Model.get_lift_chart[][]

Underfull \hbox (badness 10000) in paragraph at lines 107618--107633
[][]\T1/txtt/m/sl/10 Model.get_all_lift_charts[][] [][]Model.get_residuals_char
t[][] [][]Model.get_all_residuals_charts[][]

Underfull \hbox (badness 10000) in paragraph at lines 107618--107633
[][]\T1/txtt/m/sl/10 Model.request_lift_chart[][] [][]Model.request_residuals_c
hart[][] [][]Model.get_roc_curve[][] [][]Model.

Underfull \hbox (badness 10000) in paragraph at lines 107663--107665
[]\T1/qtm/m/n/10 Added new method for re-triev-ing all avail-able fea-ture im-p
acts for the model [][]\T1/txtt/m/sl/10 Model.

Underfull \hbox (badness 10000) in paragraph at lines 107687--107689
\T1/txtt/m/sl/10 PredictionExplanations.get_all_as_dataframe()[][] \T1/qtm/m/n/
10 and [][]\T1/txtt/m/sl/10 datarobot.PredictionExplanations.
[921]
Underfull \hbox (badness 10000) in paragraph at lines 107815--107818
[]\T1/txtt/m/n/10 DatetimeModel.get_feature_fit_metadata \T1/qtm/m/n/10 has bee
n re-moved. Use [][]\T1/txtt/m/sl/10 DatetimeModel.

Underfull \hbox (badness 10000) in paragraph at lines 107825--107828
[]\T1/txtt/m/n/10 DatetimeModel.request_feature_fit \T1/qtm/m/n/10 has been re-
moved. Use [][]\T1/txtt/m/sl/10 DatetimeModel.

Underfull \hbox (badness 10000) in paragraph at lines 107840--107843
[]\T1/txtt/m/n/10 Model.get_or_request_feature_fit \T1/qtm/m/n/10 has been re-m
oved. Use [][]\T1/txtt/m/sl/10 Model.

Underfull \hbox (badness 10000) in paragraph at lines 107845--107848
[]\T1/txtt/m/n/10 DatetimeModel.get_or_request_feature_fit \T1/qtm/m/n/10 has b
een re-moved. Use [][]\T1/txtt/m/sl/10 DatetimeModel.

Underfull \hbox (badness 10000) in paragraph at lines 107855--107858
[]\T1/qtm/m/n/10 Dep-re-cated the fol-low-ing meth-ods for re-triev-ing [][]\T1
/txtt/m/sl/10 SharingAccess[][] \T1/qtm/m/n/10 in-for-ma-tion. - \T1/txtt/m/n/1
0 DataStore.
[922] [923]
Underfull \hbox (badness 10000) in paragraph at lines 107997--108001
[]\T1/qtm/m/n/10 Added new meth-ods [][]\T1/txtt/m/sl/10 BatchPredictionJob.app
ly_time_series_data_prep_and_score[][] \T1/qtm/m/n/10 and

Underfull \hbox (badness 7221) in paragraph at lines 107997--108001
[][]\T1/txtt/m/sl/10 BatchPredictionJob.apply_time_series_data_prep_and_score_t
o_file[][] \T1/qtm/m/n/10 that ap-ply time se-ries

Underfull \hbox (badness 10000) in paragraph at lines 108003--108008
[]\T1/qtm/m/n/10 Added new meth-ods [][]\T1/txtt/m/sl/10 DataEngineQueryGenerat
or.prepare_prediction_dataset[][] \T1/qtm/m/n/10 and

Underfull \hbox (badness 7308) in paragraph at lines 108003--108008
[][]\T1/txtt/m/sl/10 DataEngineQueryGenerator.prepare_prediction_dataset_from_c
atalog[][] \T1/qtm/m/n/10 that ap-ply time se-ries

Underfull \hbox (badness 10000) in paragraph at lines 108034--108038
[]\T1/qtm/m/n/10 Added two new meth-ods to the Im-ageAug-men-ta-tion-List class
: \T1/txtt/m/n/10 ImageAugmentationList.list\T1/qtm/m/n/10 ,
[924]
Underfull \hbox (badness 10000) in paragraph at lines 108105--108107
[]\T1/qtm/m/n/10 Up-date the doc-u-men-ta-tion to sug-gest that set-ting \T1/tx
tt/m/n/10 use_backtest_start_end_format \T1/qtm/m/n/10 of
[925] [926]
Underfull \hbox (badness 10000) in paragraph at lines 108374--108377
[]\T1/qtm/m/n/10 Added sup-port for cre-at-ing mono-tonic fea-ture lists for ti
me se-ries projects. Set

Underfull \hbox (badness 10000) in paragraph at lines 108379--108381
[]\T1/qtm/m/n/10 Added in-for-ma-tion about ver-tex to ad-vanced tun-ing pa-ram
-e-ters [][]\T1/txtt/m/sl/10 datarobot.models.Model.
[927]
Underfull \hbox (badness 10000) in paragraph at lines 108462--108464
[][][]\T1/txtt/m/sl/10 CustomModelVersion[][]\T1/qtm/m/n/10 's \T1/txtt/m/n/10 
required_metadata \T1/qtm/m/n/10 pa-ram-e-ter has been re-moved. Use

Underfull \hbox (badness 10000) in paragraph at lines 108466--108468
[][][]\T1/txtt/m/sl/10 CustomTaskVersion[][]\T1/qtm/m/n/10 's \T1/txtt/m/n/10 r
equired_metadata \T1/qtm/m/n/10 pa-ram-e-ter has been re-moved. Use

Underfull \hbox (badness 6364) in paragraph at lines 108498--108500
[]\T1/qtm/m/n/10 The [][]\T1/txtt/m/sl/10 Deployment[][] \T1/qtm/m/n/10 method 
\T1/txtt/m/n/10 create_from_custom_model_image \T1/qtm/m/n/10 was re-moved. Use
 [][]\T1/txtt/m/sl/10 Deployment.

Underfull \hbox (badness 10000) in paragraph at lines 108550--108555
[]\T1/qtm/m/n/10 Added ex-per-i-men-tal sup-port to re-trieve doc-u-ment text e
x-trac-tion sam-ples us-

Underfull \hbox (badness 10000) in paragraph at lines 108550--108555
\T1/qtm/m/n/10 ing: - [][]\T1/txtt/m/sl/10 DocumentTextExtractionSample[][] \T1
/qtm/m/n/10 - [][]\T1/txtt/m/sl/10 DocumentTextExtractionSamplePage[][] \T1/qtm
/m/n/10 -
[928]
Underfull \hbox (badness 10000) in paragraph at lines 108592--108599
[]\T1/qtm/m/n/10 Added sup-port to pass cal-cu-la-tion mode to pre-dic-tion ex-
pla-na-tions (\T1/txtt/m/n/10 mode \T1/qtm/m/n/10 pa-ram-e-ter in

Underfull \hbox (badness 10000) in paragraph at lines 108592--108599
[][]\T1/txtt/m/sl/10 PredictionExplanations.create[][]\T1/qtm/m/n/10 ) as well 
as batch scor-ing (\T1/txtt/m/n/10 explanations_mode \T1/qtm/m/n/10 in

Underfull \hbox (badness 10000) in paragraph at lines 108643--108656
\T1/qtm/m/n/10 - [][]\T1/txtt/m/sl/10 Project.apply_bias_mitigation[][] \T1/qtm
/m/n/10 - [][]\T1/txtt/m/sl/10 Project.request_bias_mitigation_feature_info[][]


Underfull \hbox (badness 10000) in paragraph at lines 108643--108656
\T1/qtm/m/n/10 - [][]\T1/txtt/m/sl/10 Project.get_bias_mitigation_feature_info[
][] \T1/qtm/m/n/10 and by adding new bias mit-

Underfull \hbox (badness 10000) in paragraph at lines 108643--108656
\T1/qtm/m/n/10 i-ga-tion params - bias_mitigation_feature_name - bias_mitigatio
n_technique - in-

Underfull \hbox (badness 10000) in paragraph at lines 108643--108656
\T1/qtm/m/n/10 clude_bias_mitigation_feature_as_predictor_variable to the ex-is
t-ing method - [][]\T1/txtt/m/sl/10 Project.start[][] \T1/qtm/m/n/10 and

Underfull \hbox (badness 7256) in paragraph at lines 108643--108656
\T1/qtm/m/n/10 by adding this enum to sup-ply params to some of the above func-
tion-al-ity \T1/txtt/m/n/10 datarobot.enums.
[929]
Underfull \hbox (badness 10000) in paragraph at lines 108769--108771
[]\T1/qtm/m/n/10 Up-date the doc-u-men-ta-tion to sug-gest that \T1/txtt/m/n/10
 feature_derivation_window_end \T1/qtm/m/n/10 of [][]\T1/txtt/m/sl/10 datarobot
.

Underfull \hbox (badness 10000) in paragraph at lines 108787--108790
[]\T1/qtm/m/n/10 Added the abil-ity to turn off su-per-vised fea-ture re-duc-ti
on for Time Se-ries projects. Op-tion
[930] [931]
Underfull \hbox (badness 10000) in paragraph at lines 109013--109015
[]\T1/txtt/m/n/10 DatetimeModel.get_feature_fit <datarobot.models.DatetimeModel
.

Underfull \hbox (badness 10000) in paragraph at lines 109039--109042
[]\T1/qtm/m/n/10 Dep-re-cat-ing sca-le-out pa-ram-e-ters for projects / mod-els
. In-cludes \T1/txtt/m/n/10 scaleout_modeling_mode\T1/qtm/m/n/10 ,
[932]
Underfull \hbox (badness 6268) in paragraph at lines 109140--109143
[]\T1/qtm/m/n/10 Added the abil-ity to up-load a pre-dic-tion dataset into a pr
oject from the AI cat-a-log [][]\T1/txtt/m/sl/10 Project.

Underfull \hbox (badness 10000) in paragraph at lines 109175--109179
[]\T1/qtm/m/n/10 Added the abil-ity to con-trol class map-ping ag-gre-ga-tion i
n mul-ti-class projects via

Underfull \hbox (badness 10000) in paragraph at lines 109185--109193
[]\T1/qtm/m/n/10 Added the abil-ity to com-pute and re-trieve Fea-ture Ef-fects
 for a Mul-ti-class model us-

Underfull \hbox (badness 10000) in paragraph at lines 109185--109193
\T1/qtm/m/n/10 ing [][]\T1/txtt/m/sl/10 datarobot.models.Model.request_feature_
effects_multiclass()[][]\T1/qtm/m/n/10 , [][]\T1/txtt/m/sl/10 datarobot.

Underfull \hbox (badness 10000) in paragraph at lines 109185--109193
\T1/txtt/m/sl/10 models.Model.get_feature_effects_multiclass()[][] \T1/qtm/m/n/
10 or [][]\T1/txtt/m/sl/10 datarobot.models.Model.

Underfull \hbox (badness 10000) in paragraph at lines 109185--109193
\T1/txtt/m/sl/10 get_or_request_feature_effects_multiclass()[][] \T1/qtm/m/n/10
 meth-ods. For date-time mod-els use fol-low-

Underfull \hbox (badness 10000) in paragraph at lines 109185--109193
\T1/qtm/m/n/10 ing meth-ods [][]\T1/txtt/m/sl/10 datarobot.models.DatetimeModel
.request_feature_effects_multiclass()[][]\T1/qtm/m/n/10 ,

Underfull \hbox (badness 10000) in paragraph at lines 109185--109193
[][]\T1/txtt/m/sl/10 datarobot.models.DatetimeModel.get_feature_effects_multicl
ass()[][] \T1/qtm/m/n/10 or [][]\T1/txtt/m/sl/10 datarobot.models.
[933] [934]
Underfull \hbox (badness 10000) in paragraph at lines 109335--109338
[]\T1/qtm/m/n/10 fix [][]\T1/txtt/m/sl/10 datarobot.CustomTaskVersion[][] \T1/q
tm/m/n/10 and [][]\T1/txtt/m/sl/10 datarobot.CustomModelVersion[][] \T1/qtm/m/n
/10 to cor-rectly for-mat

Underfull \hbox (badness 10000) in paragraph at lines 109411--109414
[]\T1/qtm/m/n/10 Added the abil-ity to re-quest a spe-cific model be pre-pared 
for de-ploy-ment us-ing [][]\T1/txtt/m/sl/10 Project.
[935] [936]
Underfull \hbox (badness 10000) in paragraph at lines 109652--109655
[]\T1/qtm/m/n/10 The \T1/txtt/m/n/10 required_metadata \T1/qtm/m/n/10 prop-erty
 of [][]\T1/txtt/m/sl/10 datarobot.CustomModelVersion[][] \T1/qtm/m/n/10 has be
en dep-re-cated.

Underfull \hbox (badness 10000) in paragraph at lines 109657--109660
[]\T1/qtm/m/n/10 The \T1/txtt/m/n/10 required_metadata \T1/qtm/m/n/10 prop-erty
 of [][]\T1/txtt/m/sl/10 datarobot.CustomTaskVersion[][] \T1/qtm/m/n/10 has bee
n dep-re-cated.
[937]
Underfull \hbox (badness 7907) in paragraph at lines 109828--109833
[]\T1/qtm/m/n/10 Sup-port for Batch Pre-dic-tion Job Def-i-ni-tions has now bee
n added through the fol-low-ing class:
[938]
Underfull \hbox (badness 10000) in paragraph at lines 109870--109873
[]\T1/qtm/m/n/10 Added method to down-load fea-ture dis-cov-ery recipe SQLs (li
m-ited beta fea-ture). [][]\T1/txtt/m/sl/10 Project.

Underfull \hbox (badness 10000) in paragraph at lines 109946--109951
[]\T1/qtm/m/n/10 Par-tial his-tory pre-dic-tions can be made with time se-ries 
time se-ries mul-ti-series mod-els us-

Underfull \hbox (badness 10000) in paragraph at lines 109946--109951
\T1/qtm/m/n/10 ing the \T1/txtt/m/n/10 allow_partial_history_time_series_predic
tions \T1/qtm/m/n/10 at-tribute of the [][]\T1/txtt/m/sl/10 datarobot.

Underfull \hbox (badness 10000) in paragraph at lines 109971--109979
[][]\T1/txtt/m/sl/10 PairwiseJointProbabilities[][] \T1/qtm/m/n/10 and [][]\T1/
txtt/m/sl/10 PairwiseConditionalProbabilities[][] \T1/qtm/m/n/10 or [][]\T1/txt
t/m/sl/10 Feature.

Underfull \hbox (badness 10000) in paragraph at lines 109971--109979
\T1/txtt/m/sl/10 get_pairwise_correlations[][]\T1/qtm/m/n/10 , [][]\T1/txtt/m/s
l/10 Feature.get_pairwise_joint_probabilities[][] \T1/qtm/m/n/10 and [][]\T1/tx
tt/m/sl/10 Feature.
[939]
Underfull \hbox (badness 10000) in paragraph at lines 110047--110050
[]\T1/qtm/m/n/10 Sup-port for down-load-ing fea-ture dis-cov-ery train-ing or p
re-dic-tion dataset us-ing [][]\T1/txtt/m/sl/10 Project.

Underfull \hbox (badness 10000) in paragraph at lines 110052--110058
[]\T1/qtm/m/n/10 Added [][]\T1/txtt/m/sl/10 datarobot.models.FeatureAssociation
Matrix[][]\T1/qtm/m/n/10 , [][]\T1/txtt/m/sl/10 datarobot.models.

Underfull \hbox (badness 10000) in paragraph at lines 110052--110058
\T1/txtt/m/sl/10 FeatureAssociationMatrixDetails[][] \T1/qtm/m/n/10 and [][]\T1
/txtt/m/sl/10 datarobot.models.FeatureAssociationFeaturelists[][]

Underfull \hbox (badness 10000) in paragraph at lines 110082--110089
[]\T1/qtm/m/n/10 Re-move \T1/txtt/m/n/10 desired_memory \T1/qtm/m/n/10 param fr
om the fol-low-ing meth-ods: [][]\T1/txtt/m/sl/10 CustomInferenceModel.

Underfull \hbox (badness 10000) in paragraph at lines 110082--110089
\T1/txtt/m/sl/10 create[][]\T1/qtm/m/n/10 , [][]\T1/txtt/m/sl/10 CustomModelVer
sion.create_clean[][]\T1/qtm/m/n/10 , [][]\T1/txtt/m/sl/10 CustomModelVersion.c
reate_from_previous[][]\T1/qtm/m/n/10 ,
[940] [941]
Underfull \hbox (badness 8170) in paragraph at lines 110218--110221
[]\T1/qtm/m/n/10 Fea-ture dis-cov-ery projects can now be cre-ated us-ing the [
][]\T1/txtt/m/sl/10 Project.start[][] \T1/qtm/m/n/10 method by pro-vid-ing

Underfull \hbox (badness 10000) in paragraph at lines 110223--110226
\T1/txtt/m/sl/10 get[][] \T1/qtm/m/n/10 Cor-re-spond-ing fea-ture lin-eage id i
s avail-able as a new [][]\T1/txtt/m/sl/10 datarobot.models.Feature[][] \T1/qtm
/m/n/10 field

Underfull \hbox (badness 10000) in paragraph at lines 110306--110311
[]\T1/qtm/m/n/10 New \T1/txtt/m/n/10 sampling_method \T1/qtm/m/n/10 param in []
[]\T1/txtt/m/sl/10 Model.train_datetime[][]\T1/qtm/m/n/10 , [][]\T1/txtt/m/sl/1
0 Project.train_datetime[][]\T1/qtm/m/n/10 , [][]\T1/txtt/m/sl/10 Model.
[942]
Underfull \hbox (badness 10000) in paragraph at lines 110331--110333
[]\T1/qtm/m/n/10 Class \T1/txtt/m/n/10 FeatureEngineeringGraph \T1/qtm/m/n/10 h
as been re-moved. Use [][]\T1/txtt/m/sl/10 datarobot.models.

Underfull \hbox (badness 10000) in paragraph at lines 110410--110414
[]\T1/qtm/m/n/10 Added sup-port for Cus-tom Model De-pen-dency Man-age-ment. Pl
ease see :ref:\T1/txtt/m/n/10 custom model

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[]\T1/qtm/m/n/10 Added a new method to trig-ger Fea-ture Im-pact cal-cu-la-tion
 for a Cus-tom In-fer-ence Im-age:
[943] [944]
Underfull \hbox (badness 10000) in paragraph at lines 110596--110605
[]\T1/qtm/m/n/10 Added new ar-gu-ments \T1/txtt/m/n/10 explanation_algorithm \T
1/qtm/m/n/10 and \T1/txtt/m/n/10 max_explanations \T1/qtm/m/n/10 to method [][]
\T1/txtt/m/sl/10 Model.

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[]\T1/qtm/m/n/10 Added new ar-gu-ments \T1/txtt/m/n/10 explanation_algorithm \T
1/qtm/m/n/10 and \T1/txtt/m/n/10 max_explanations \T1/qtm/m/n/10 to method [][]
\T1/txtt/m/sl/10 Model.
[945]
Underfull \hbox (badness 10000) in paragraph at lines 110807--110811
[]\T1/qtm/m/n/10 Batch Pre-dic-tion jobs now sup-port scor-ing to Azure and Goo
gle Cloud Stor-age with meth-ods
[946]
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[]\T1/qtm/m/n/10 These meth-ods now pro-vide ad-di-tional meta-data fields in F
ea-ture Im-pact re-sults if called with

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[]\T1/qtm/m/n/10 Sec-ondary dataset con-fig-u-ra-tion re-trieve and dele-tion i
s eas-ier now though new

Underfull \hbox (badness 10000) in paragraph at lines 110865--110869
[][]\T1/txtt/m/sl/10 SecondaryDatasetConfigurations.delete[][] \T1/qtm/m/n/10 s
oft deletes a Sec-ondary dataset con-fig-u-ra-tion.

Underfull \hbox (badness 10000) in paragraph at lines 110889--110891
[]\T1/qtm/m/n/10 Batch Pre-dic-tion jobs that used other out-put types than \T1
/txtt/m/n/10 local_file \T1/qtm/m/n/10 failed when us-ing \T1/txtt/m/n/10 .
[947] [948]
Underfull \hbox (badness 10000) in paragraph at lines 111135--111139
[]\T1/qtm/m/n/10 A new boolean at-tribute \T1/txtt/m/n/10 unsupervised_mode \T1
/qtm/m/n/10 was added to [][]\T1/txtt/m/sl/10 datarobot.
[949]
Underfull \hbox (badness 10000) in paragraph at lines 111208--111212
[]\T1/qtm/m/n/10 Time se-ries model de-ploy-ments now sup-port pre-dic-tion in-
ter-vals. See

Underfull \hbox (badness 10000) in paragraph at lines 111208--111212
[][]\T1/txtt/m/sl/10 Deployment.get_prediction_intervals_settings[][] \T1/qtm/m
/n/10 and [][]\T1/txtt/m/sl/10 Deployment.

Overfull \hbox (7.70421pt too wide) in paragraph at lines 111244--111246
[]\T1/qtm/m/n/10 Re-gres-sion de-ploy-ments now sup-port :ref:\T1/txtt/m/n/10 p
rediction warnings<deployment_prediction_warning>\T1/qtm/m/n/10 . 

Underfull \hbox (badness 10000) in paragraph at lines 111264--111267
[]\T1/qtm/m/n/10 It's now pos-si-ble to get fea-ture as-so-ci-a-tion sta-tuses 
for fea-turelists us-ing [][]\T1/txtt/m/sl/10 Project.

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[]\T1/qtm/m/n/10 Method [][]\T1/txtt/m/sl/10 Project.set_target[][] \T1/qtm/m/n
/10 sup-port new op-tional pa-ram-e-ters \T1/txtt/m/n/10 featureEngineeringGrap
hs \T1/qtm/m/n/10 and
[950]
Underfull \hbox (badness 10000) in paragraph at lines 111309--111314
[]\T1/qtm/m/n/10 Se-ries ac-cu-racy re-trieval meth-ods ([][]\T1/txtt/m/sl/10 D
atetimeModel.get_series_accuracy_as_dataframe[][] \T1/qtm/m/n/10 and

Underfull \hbox (badness 10000) in paragraph at lines 111400--111402
[]\T1/qtm/m/n/10 Mono-tonic con-straints are now sup-ported for OTV projects. T
o that end, the pa-ram-e-ters

Underfull \hbox (badness 10000) in paragraph at lines 111400--111402
\T1/txtt/m/n/10 monotonic_increasing_featurelist_id \T1/qtm/m/n/10 and \T1/txtt
/m/n/10 monotonic_decreasing_featurelist_id \T1/qtm/m/n/10 can be
[951]
Underfull \hbox (badness 7451) in paragraph at lines 111489--111492
[]\T1/qtm/m/n/10 When [][]\T1/txtt/m/sl/10 specifying datetime partitioning[][]
 \T1/qtm/m/n/10 set-tings , :ref:\T1/txtt/m/n/10 time series <time_series> \T1/
qtm/m/n/10 projects

Underfull \hbox (badness 10000) in paragraph at lines 111489--111492
\T1/txtt/m/sl/10 do_not_derive[][] \T1/qtm/m/n/10 at-tribute. Any fea-tures not
 spec-i-fied will be as-signed ac-cord-ing to the
[952] [953]
Underfull \hbox (badness 10000) in paragraph at lines 111699--111708
[]\T1/qtm/m/n/10 Pre-vi-ously avail-able for only Eu-reqa mod-els, Ad-vanced Tu
n-ing meth-ods and ob-jects, in-clud-ing

Underfull \hbox (badness 10000) in paragraph at lines 111699--111708
[][]\T1/txtt/m/sl/10 Model.start_advanced_tuning_session[][]\T1/qtm/m/n/10 , []
[]\T1/txtt/m/sl/10 Model.get_advanced_tuning_parameters[][]\T1/qtm/m/n/10 , [][
]\T1/txtt/m/sl/10 Model.
[954]
Underfull \hbox (badness 10000) in paragraph at lines 111738--111740
[][][]\T1/txtt/m/sl/10 Project.upload_dataset[][] \T1/qtm/m/n/10 and [][]\T1/tx
tt/m/sl/10 Project.upload_dataset_from_data_source[][] \T1/qtm/m/n/10 will re-t
urn a
[955]
Underfull \hbox (badness 10000) in paragraph at lines 111860--111863
[]\T1/qtm/m/n/10 New class for work-ing with model com-pli-ance doc-u-men-ta-ti
on fea-ture of DataRobot: class

Underfull \hbox (badness 10000) in paragraph at lines 111879--111884
[]\T1/qtm/m/n/10 Cross se-ries fea-tures can now be cre-ated within time se-rie
s mul-ti-series projects us-ing

Underfull \hbox (badness 10000) in paragraph at lines 111879--111884
\T1/qtm/m/n/10 the \T1/txtt/m/n/10 use_cross_series_features \T1/qtm/m/n/10 and
 \T1/txtt/m/n/10 aggregation_type \T1/qtm/m/n/10 at-tributes of the [][]\T1/txt
t/m/sl/10 datarobot.

Underfull \hbox (badness 10000) in paragraph at lines 111910--111914
[]\T1/qtm/m/n/10 New \T1/txtt/m/n/10 number_of_known_in_advance_features \T1/qt
m/m/n/10 at-tribute has been added to the [][]\T1/txtt/m/sl/10 datarobot.
[956]
Underfull \hbox (badness 10000) in paragraph at lines 112003--112011
[]\T1/qtm/m/n/10 New meth-ods and ob-jects, in-clud-ing [][]\T1/txtt/m/sl/10 Mo
del.start_advanced_tuning_session[][]\T1/qtm/m/n/10 , [][]\T1/txtt/m/sl/10 Mode
l.

Underfull \hbox (badness 7504) in paragraph at lines 112003--112011
\T1/txtt/m/sl/10 get_advanced_tuning_parameters[][]\T1/qtm/m/n/10 , [][]\T1/txt
t/m/sl/10 Model.advanced_tune[][]\T1/qtm/m/n/10 , and [][]\T1/txtt/m/sl/10 Adva
ncedTuningSession[][]\T1/qtm/m/n/10 , were

Underfull \hbox (badness 10000) in paragraph at lines 112026--112029
[]\T1/qtm/m/n/10 A cus-tom pre-dic-tion thresh-old may now be con-fig-ured for 
each model via [][]\T1/txtt/m/sl/10 Model.

Underfull \hbox (badness 10000) in paragraph at lines 112036--112038
[]\T1/qtm/m/n/10 In-di-vid-ual cross val-i-da-tion scores can be re-trieved for
 new mod-els us-ing [][]\T1/txtt/m/sl/10 Model.
[957]
Underfull \hbox (badness 10000) in paragraph at lines 112078--112082
[][][]\T1/txtt/m/sl/10 ModelRecommendation.get[][] \T1/qtm/m/n/10 now ac-cepts 
an op-tional pa-ram-e-ter of type \T1/txtt/m/n/10 datarobot.enums.
[958]
Underfull \hbox (badness 10000) in paragraph at lines 112195--112199
[]\T1/qtm/m/n/10 Added a new fea-ture to re-trieve fea-ture logs for time se-ri
es projects. Check [][]\T1/txtt/m/sl/10 datarobot.

Underfull \hbox (badness 10000) in paragraph at lines 112195--112199
\T1/txtt/m/sl/10 DatetimePartitioning.feature_log_list()[][] \T1/qtm/m/n/10 and
 [][]\T1/txtt/m/sl/10 datarobot.DatetimePartitioning.

Underfull \hbox (badness 10000) in paragraph at lines 112215--112219
[]\T1/qtm/m/n/10 New pa-ram-e-ters \T1/txtt/m/n/10 predictions_start_date \T1/q
tm/m/n/10 and \T1/txtt/m/n/10 predictions_end_date \T1/qtm/m/n/10 added to [][]
\T1/txtt/m/sl/10 Project.

Underfull \hbox (badness 5302) in paragraph at lines 112241--112245
\T1/qtm/m/n/10 re-cated and will be re-moved in 2.14. Use [][]\T1/txtt/m/sl/10 
datarobot.DatetimePartitioningSpecification.
[959] [960] [961]
Underfull \hbox (badness 10000) in paragraph at lines 112515--112518
[]\T1/qtm/m/n/10 Lift chart data for mod-els can be re-trieved us-ing the \T1/t
xtt/m/n/10 Model.get_lift_chart \T1/qtm/m/n/10 and \T1/txtt/m/n/10 Model.
[962] [963]
Underfull \hbox (badness 10000) in paragraph at lines 112708--112710
[]\T1/qtm/m/n/10 When call-ing \T1/txtt/m/n/10 get_result \T1/qtm/m/n/10 for a 
Job, Mod-elJob, or Pre-dic-tJob that has er-rored,
[964]
Underfull \hbox (badness 10000) in paragraph at lines 112812--112816
[]\T1/qtm/m/n/10 (Only rel-e-vant for on-premise users with a Stan-dalone Scor-
ing clus-ter.) Meth-ods
[965]
Underfull \hbox (badness 6268) in paragraph at lines 112927--112931
[]\T1/qtm/m/n/10 A new im-proved work-flow for pre-dic-tions now sup-ports firs
t up-load-ing a dataset via \T1/txtt/m/n/10 Project.
[966]
Underfull \hbox (badness 10000) in paragraph at lines 113063--113065
[]\T1/txtt/m/n/10 PredictJob.create \T1/qtm/m/n/10 has been dep-re-cated in fa-
vor of the al-ter-nate work-flow us-ing \T1/txtt/m/n/10 Model.
[967] [968] [969]
Underfull \hbox (badness 6016) in paragraph at lines 113409--113413
[]\T1/qtm/m/n/10 In sev-eral places where \T1/txtt/m/n/10 AppPlatformError \T1/
qtm/m/n/10 was be-ing raised, now \T1/txtt/m/n/10 TypeError\T1/qtm/m/n/10 , \T1
/txtt/m/n/10 ValueError \T1/qtm/m/n/10 or

Underfull \hbox (badness 10000) in paragraph at lines 113429--113434
[]\T1/qtm/m/n/10 If a \T1/txtt/m/n/10 ClientError \T1/qtm/m/n/10 or \T1/txtt/m/
n/10 ServerError \T1/qtm/m/n/10 oc-curs dur-ing a call to \T1/txtt/m/n/10 Proje
ct.from_async\T1/qtm/m/n/10 , then a
[970]
Underfull \hbox (badness 10000) in paragraph at lines 113500--113503
[]\T1/txtt/m/n/10 recommendation_settings \T1/qtm/m/n/10 pa-ram-e-ter of \T1/tx
tt/m/n/10 Project.start \T1/qtm/m/n/10 is dep-re-cated in fa-vor of
[971] [972] [973] [974] (./datarobot-public-api-client.ind [975] [976] [977]
[978]
Underfull \hbox (badness 5548) in paragraph at lines 195--197
[]\T1/txtt/m/n/10 bucket_sample_sizes \T1/qtm/m/n/10 (\T1/qtm/m/it/10 datarobot
.models.deployment.custom_metrics.CustomMetricValuesOverBatch prop-erty\T1/qtm/
m/n/10 ),

Underfull \hbox (badness 10000) in paragraph at lines 197--199
[]\T1/txtt/m/n/10 bucket_sample_sizes \T1/qtm/m/n/10 (\T1/qtm/m/it/10 datarobot
.models.deployment.custom_metrics.CustomMetricValuesOverTime prop-erty\T1/qtm/m
/n/10 ),
[979] [980] [981]
Underfull \hbox (badness 10000) in paragraph at lines 491--493
[]\T1/txtt/m/n/10 create() \T1/qtm/m/n/10 (\T1/qtm/m/it/10 datarobot.models.gen
ai.evaluation_dataset_configuration.EvaluationDatasetConfiguration class

Underfull \hbox (badness 10000) in paragraph at lines 493--495
[]\T1/txtt/m/n/10 create() \T1/qtm/m/n/10 (\T1/qtm/m/it/10 datarobot.models.gen
ai.evaluation_dataset_metric_aggregation.EvaluationDatasetMetricAggregation

Underfull \hbox (badness 10000) in paragraph at lines 509--511
[]\T1/txtt/m/n/10 create() \T1/qtm/m/n/10 (\T1/qtm/m/it/10 datarobot.models.gen
ai.synthetic_evaluation_dataset_generation.SyntheticEvaluationDataset class
[982] [983] [984] [985] [986] [987]
Underfull \hbox (badness 10000) in paragraph at lines 949--951
[]\T1/txtt/m/n/10 delete() \T1/qtm/m/n/10 (\T1/qtm/m/it/10 datarobot.models.gen
ai.evaluation_dataset_metric_aggregation.EvaluationDatasetMetricAggregation
[988] [989]
Overfull \hbox (31.33444pt too wide) in paragraph at lines 1155--1157
[]\T1/txtt/m/n/10 evaluation_dataset_configuration_id \T1/qtm/m/n/10 (\T1/qtm/m
/it/10 datarobot.models.genai.llm_test_configuration.DatasetEvaluationRequestDi
ct

Overfull \hbox (6.44446pt too wide) in paragraph at lines 1165--1167
[]\T1/txtt/m/n/10 EvaluationDatasetMetricAggregation \T1/qtm/m/n/10 (\T1/qtm/m/
it/10 class in datarobot.models.genai.evaluation_dataset_metric_aggregation\T1/
qtm/m/n/10 ),
[990]
Underfull \hbox (badness 10000) in paragraph at lines 1264--1266
[]\T1/txtt/m/n/10 features_with_most_missing_values \T1/qtm/m/n/10 (\T1/qtm/m/i
t/10 datarobot._experimental.models.model_lineage.FeaturelistInfo at-

Underfull \hbox (badness 10000) in paragraph at lines 1297--1299
[]\T1/txtt/m/n/10 find_anomalous_regions() \T1/qtm/m/n/10 (\T1/qtm/m/it/10 data
robot.models.anomaly_assessment.AnomalyAssessmentPredictionsPreview
[991] [992] [993] [994] [995] [996]
Underfull \hbox (badness 10000) in paragraph at lines 1810--1812
[]\T1/txtt/m/n/10 get_buckets_as_dataframe() \T1/qtm/m/n/10 (\T1/qtm/m/it/10 da
tarobot.models.deployment.custom_metrics.CustomMetricValuesOverBatch

Underfull \hbox (badness 10000) in paragraph at lines 1812--1814
[]\T1/txtt/m/n/10 get_buckets_as_dataframe() \T1/qtm/m/n/10 (\T1/qtm/m/it/10 da
tarobot.models.deployment.custom_metrics.CustomMetricValuesOverTime

Underfull \hbox (badness 10000) in paragraph at lines 1840--1842
[]\T1/txtt/m/n/10 get_closest_data_for_featurelist() \T1/qtm/m/n/10 (\T1/qtm/m/
it/10 datarobot._experimental.models.data_matching.DataMatching
[997]
Underfull \hbox (badness 10000) in paragraph at lines 1889--1891
[]\T1/txtt/m/n/10 get_datasource_definition() \T1/qtm/m/n/10 (\T1/qtm/m/it/10 d
atarobot._experimental.models.chunking_service.DatasetChunkDefinition

Overfull \hbox (51.0944pt too wide) in paragraph at lines 1902--1904
[]\T1/txtt/m/n/10 get_document_page_with_text_locations() \T1/qtm/m/n/10 (\T1/q
tm/m/it/10 datarobot.models.documentai.document.DocumentTextExtractionSamplePag
e

Underfull \hbox (badness 10000) in paragraph at lines 1917--1919
[]\T1/txtt/m/n/10 get_explanations_data_in_regions() \T1/qtm/m/n/10 (\T1/qtm/m/
it/10 datarobot.models.anomaly_assessment.AnomalyAssessmentRecord
[998] [999] [1000] [1001] [1002]
Underfull \hbox (badness 10000) in paragraph at lines 2362--2364
[]\T1/txtt/m/n/10 get_supported_retrieval_settings() \T1/qtm/m/n/10 (\T1/qtm/m/
it/10 datarobot.models.genai.vector_database.VectorDatabase class
[1003]
Underfull \hbox (badness 10000) in paragraph at lines 2510--2512
[]\T1/txtt/m/n/10 insight_grading_criteria \T1/qtm/m/n/10 (\T1/qtm/m/it/10 data
robot.models.genai.llm_test_configuration.DatasetEvaluationDict at-tribute\T1/q
tm/m/n/10 ),

Underfull \hbox (badness 10000) in paragraph at lines 2512--2514
[]\T1/txtt/m/n/10 insight_grading_criteria \T1/qtm/m/n/10 (\T1/qtm/m/it/10 data
robot.models.genai.llm_test_configuration.DatasetEvaluationRequestDict
[1004]
Underfull \hbox (badness 10000) in paragraph at lines 2544--2546
[]\T1/txtt/m/n/10 is_model_compliance_initialized \T1/qtm/m/n/10 (\T1/qtm/m/it/
10 datarobot.models.automated_documentation.AutomatedDocument prop-
[1005] [1006]
Underfull \hbox (badness 10000) in paragraph at lines 2774--2776
[]\T1/txtt/m/n/10 list_all_available_document_types() \T1/qtm/m/n/10 (\T1/qtm/m
/it/10 datarobot.models.automated_documentation.AutomatedDocument
[1007]
Underfull \hbox (badness 10000) in paragraph at lines 2781--2783
[]\T1/txtt/m/n/10 list_available_document_types() \T1/qtm/m/n/10 (\T1/qtm/m/it/
10 datarobot.models.automated_documentation.AutomatedDocument class
[1008]
Underfull \hbox (badness 10000) in paragraph at lines 2871--2873
[]\T1/txtt/m/n/10 milliseconds_to_predict_1000_rows \T1/qtm/m/n/10 (\T1/qtm/m/i
t/10 datarobot._experimental.models.model_lineage.ModelInfo at-tribute\T1/qtm/m
/n/10 ),
[1009]
Underfull \hbox (badness 10000) in paragraph at lines 3032--3034
[]\T1/txtt/m/n/10 number_of_missing_values \T1/qtm/m/n/10 (\T1/qtm/m/it/10 data
robot._experimental.models.model_lineage.FeatureWithMissingValues at-
[1010]
Underfull \hbox (badness 10000) in paragraph at lines 3114--3116
[]\T1/txtt/m/n/10 patch_validation_dates() \T1/qtm/m/n/10 (\T1/qtm/m/it/10 data
robot._experimental.models.chunking_service.DatasetChunkDefinition class
[1011]
Underfull \hbox (badness 10000) in paragraph at lines 3215--3217
[]\T1/txtt/m/n/10 prompt_sampling_strategy \T1/qtm/m/n/10 (\T1/qtm/m/it/10 data
robot.models.genai.llm_test_configuration.DatasetEvaluationDict at-tribute\T1/q
tm/m/n/10 ),

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[]\T1/txtt/m/n/10 prompt_sampling_strategy \T1/qtm/m/n/10 (\T1/qtm/m/it/10 data
robot.models.genai.llm_test_configuration.DatasetEvaluationRequestDict
[1012] [1013] [1014] [1015] [1016] [1017] [1018] [1019] [1020] [1021] [1022]
Underfull \hbox (badness 7722) in paragraph at lines 4192--4194
[]\T1/txtt/m/n/10 validate_task_parameters() \T1/qtm/m/n/10 (\T1/qtm/m/it/10 da
tarobot.models.user_blueprints.models.UserBlueprintValidateTaskParameters
[1023]) [1024] (./datarobot-public-api-client.aux)

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[1] [2] [1] [2]
Chapter 1.
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[][][]\T1/txtt/m/sl/10 Dataset.create_from_url[][] \T1/qtm/m/n/10 takes .csv da
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[][][]\T1/txtt/m/sl/10 Dataset.create_from_data_source[][] \T1/qtm/m/n/10 takes
 data from a data source. If you have set
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[]\T1/qtm/m/n/10 For mul-ti-class mod-els, you can get a list of per-class lift
 charts us-ing the \T1/txtt/m/n/10 Model \T1/qtm/m/n/10 method

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\T1/qtm/m/n/10 Just as with the lift and ROC charts, you can use \T1/txtt/m/n/1
0 Model \T1/qtm/m/n/10 meth-ods \T1/txtt/m/n/10 get_residuals_chart \T1/qtm/m/n
/10 and
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\T1/qtm/m/n/10 and \T1/txtt/m/n/10 validation_start_date\T1/qtm/m/n/10 . Us-ing
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0 and

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racy over Time plot. To do so use

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[][]\T1/txtt/m/sl/10 DatetimeModel.get_accuracy_over_time_plot[][]\T1/qtm/m/n/1
0 . You can also re-trieve the de-tailed meta-data us-ing
[41] [42] [43] [44]
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[]\T1/qtm/m/n/10 Enough rows of his-tor-i-cal data must be pro-vided to cover t
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[]\T1/qtm/m/n/10 Pre-dic-tion in-ter-vals can be cal-cu-lated for a [][]\T1/txt
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timeModel.
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l.3714     │   ├── …
                              
[54] [55] [56 <./sample1.png> <./sample2.png>] [57 <./activation_map1.png>]
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[]\T1/qtm/m/n/10 1. Up-load a pre-dic-tion dataset, spec-i-fy-ing \T1/txtt/m/n/
10 predictions_start_date\T1/qtm/m/n/10 , \T1/txtt/m/n/10 predictions_end_date\
T1/qtm/m/n/10 , and

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[]\T1/qtm/m/n/10 Up-load a pre-dic-tion dataset that con-tains la-bel col-umn(s
), re-quest com-pute ex-ter-nal test on one of
[64] [65] [66] [67] [68] [69] [70] [71]

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l.5705     ├── data.csv
                             

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l.5705     ├── data.csv
                             
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[]\T1/txtt/m/n/10 PredictionExplanations.get_all_as_dataframe() \T1/qtm/m/n/10 
and \T1/txtt/m/n/10 PredictionExplanations.
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\T1/qtm/m/n/10 If you just want to get gen-er-ated pre-dic-tions from a Pre-dic
-tJob, you can use the \T1/txtt/m/n/10 PredictJob.
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[]\T1/qtm/m/n/10 In or-der to sched-ule the ex-e-cu-tion of a Batch Pre-dic-tio
n job, a def-i-ni-tion must first be cre-ated, us-
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[]\T1/qtm/m/n/10 Job def-i-ni-tions are only be ex-e-cuted by the sched-uler if
 \T1/txtt/m/n/10 enabled \T1/qtm/m/n/10 is set to \T1/txtt/m/n/10 True\T1/qtm/m
/n/10 . If you have a

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\T1/qtm/m/n/10 job def-i-ni-tion that was pre-vi-ously run-ning as a sched-uled
 job, but should now be stopped, sim-ply

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[]\T1/qtm/m/n/10 When cre-at-ing a new de-ploy-ment, a DataRobot \T1/txtt/m/n/1
0 registered_model_version_id \T1/qtm/m/n/10 (also known as
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\T1/qtm/m/n/10 of [][]\T1/txtt/m/sl/10 datarobot.models.deployment.DeploymentGr
antSharedRoleWithId[][] \T1/qtm/m/n/10 and [][]\T1/txtt/m/sl/10 datarobot.model
s.
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[]\T1/qtm/m/n/10 For deployment-specific met-rics, do not pro-vide model in-for
-ma-tion. For model spe-cific met-rics set
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[]\T1/qtm/m/n/10 Re-fer to [][]\T1/txtt/m/sl/10 ExecutionEnvironment[][] \T1/qt
m/m/n/10 for prop-er-ties of the ex-e-cu-tion en-vi-ron-ment ob-ject and
[156] [157]
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[]\T1/qtm/m/n/10 When cre-at-ing a bi-nary clas-si-fi-ca-tion Cus-tom In-fer-en
ce Model, \T1/txtt/m/n/10 positive_class_label \T1/qtm/m/n/10 and
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[]\T1/qtm/m/n/10 cus-tom_model.update(is_training_data_for_versions_permanently
_enabled=True) cus-
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[]\T1/qtm/m/n/10 To cre-ate a hosted cus-tom met-ric job from gallery tem-plate
, use \T1/txtt/m/n/10 dr.registry.Job.
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[]\T1/qtm/m/n/10 You can also fil-ter the reg-is-tered model ver-sions that are
 re-turned by pass-ing an in-stance of the
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[]\T1/qtm/m/n/10 Use Cases sup-port \T1/txtt/m/n/10 SHARING_ROLE.OWNER\T1/qtm/m
/n/10 , \T1/txtt/m/n/10 SHARING_ROLE.EDITOR\T1/qtm/m/n/10 , \T1/txtt/m/n/10 SHA
RING_ROLE.CONSUMER \T1/qtm/m/n/10 and

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[][][]\T1/qtm/m/it/10 Ad-min-is-tra-
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[]\T1/txtt/bx/n/10 consider_blenders_in_recommendation \T1/qtm/m/n/10 (\T1/txtt
/m/n/10 Optional[bool]\T1/qtm/m/n/10 ) ^^U (New in ver-sion

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[]\T1/txtt/bx/n/10 fairness_metrics_set \T1/qtm/m/n/10 (\T1/txtt/m/n/10 Optiona
l[str].\T1/qtm/m/n/10 ) ^^U (New in ver-sion v2.24) Met-

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\T1/qtm/m/n/10 ric to use for cal-cu-lat-ing fair-ness. Can be one of \T1/txtt/
m/n/10 proportionalParity\T1/qtm/m/n/10 ,
[197]
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[]\T1/txtt/bx/n/10 bias_mitigation_technique \T1/qtm/m/n/10 (\T1/txtt/m/n/10 Op
tional[str]\T1/qtm/m/n/10 ) ^^U One of

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\T1/qtm/m/n/10 datarobot.enums.BiasMitigationTechnique Op-tions: - `pre-pro-ces
s-in-gReweigh-ing' -

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[]\T1/txtt/bx/n/10 default_monotonic_increasing_featurelist_id \T1/qtm/m/n/10 (
\T1/txtt/m/n/10 Optional[str]\T1/qtm/m/n/10 ) ^^U Re-turned

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[]\T1/txtt/bx/n/10 default_monotonic_decreasing_featurelist_id \T1/qtm/m/n/10 (
\T1/txtt/m/n/10 Optional[str]\T1/qtm/m/n/10 ) ^^U Re-turned

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[]\T1/txtt/bx/n/10 number_of_incremental_learning_iterations_before_best_model_
selection
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[]\T1/qtm/b/n/10 pa-ram-e-ters \T1/qtm/m/n/10 (\T1/txtt/m/n/10 dict\T1/qtm/m/n/
10 ) ^^U ^^PPa-ram-e-ters^^Q dic-tio-nary, same as spec-i-fied on
[200]
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[]\T1/txtt/bx/n/10 status \T1/qtm/m/n/10 (\T1/txtt/m/n/10 str\T1/qtm/m/n/10 ) ^
^U The sta-tus of the in-sight. One of \T1/txtt/m/n/10 datarobot.enums.
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[]\T1/txtt/m/n/10 List \T1/qtm/m/n/10 of \T1/txtt/m/n/10 AutomatedDocument obje
cts\T1/qtm/m/n/10 , \T1/txtt/m/n/10 where each object contains
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[]\T1/txtt/bx/n/10 source_url \T1/qtm/m/n/10 (\T1/txtt/m/n/10 str\T1/qtm/m/n/10
 ) ^^U The URL for the pre-dic-tion dataset (e.g.:

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[]\T1/txtt/bx/n/10 destination_url \T1/qtm/m/n/10 (\T1/txtt/m/n/10 str\T1/qtm/m
/n/10 ) ^^U The URL for the scored dataset (e.g.:
[231]
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[]\T1/txtt/bx/n/10 source_url \T1/qtm/m/n/10 (\T1/txtt/m/n/10 str\T1/qtm/m/n/10
 ) ^^U The URL for the pre-dic-tion dataset (e.g.:

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[]\T1/txtt/bx/n/10 destination_url \T1/qtm/m/n/10 (\T1/txtt/m/n/10 str\T1/qtm/m
/n/10 ) ^^U The URL for the scored dataset (e.g.:
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[]\T1/qtm/m/n/10 par-ti-tion : sub-set of train-ing data to score, one of \T1/t
xtt/m/n/10 datarobot.enums.
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\T1/qtm/m/it/10 tinue_on_error=False\T1/qtm/m/n/10 , 

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\T1/qtm/m/it/10 tinue_on_error=False\T1/qtm/m/n/10 , 
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\T1/qtm/m/it/10 tinue_on_error=False\T1/qtm/m/n/10 , 
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[]\T1/txtt/m/n/10 [ [ True Negative, False Positive ], [ False Negative, True P
ositive
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[]\T1/txtt/bx/n/10 kwargs \T1/qtm/m/n/10 (\T1/txtt/m/n/10 Keyword arguments spe
cific \T1/qtm/m/n/10 to \T1/txtt/m/n/10 the given credential_type that
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[]\T1/txtt/bx/n/10 time_step \T1/qtm/m/n/10 (\T1/txtt/m/n/10 Optional[CustomMet
ricBucketTimeStep]\T1/qtm/m/n/10 ) ^^U Cus-tom met-ric time
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[]\T1/txtt/bx/n/10 metric_type \T1/qtm/m/n/10 (\T1/txtt/m/n/10 Optional[HostedC
ustomMetricsTemplateMetricTypeQueryParams]\T1/qtm/m/n/10 )
[289]
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\T1/qtm/m/n/10 Cre-ate a hosted cus-tom met-ric from a tem-plate. A short-cut f
or 2 calls:
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\T1/qtm/m/it/10 datarobot.TARGET_TYPE.MULTICLASS\T1/qtm/m/n/10 , \T1/qtm/m/it/1
0 datarobot.TARGET_TYPE.UNSTRUCTURED\T1/qtm/m/n/10 ,

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[]\T1/txtt/bx/n/10 network_egress_policy \T1/qtm/m/n/10 (\T1/txtt/m/n/10 dataro
bot.NETWORK_EGRESS_POLICY\T1/qtm/m/n/10 , \T1/qtm/m/it/10 op-tional\T1/qtm/m/n/
10 )

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\T1/qtm/m/n/10 ^^U De-ter-mines whether the given cus-tom model is iso-lated, o
r can ac-cess the

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\T1/qtm/m/n/10 pub-lic net-work. Val-ues: [\T1/qtm/m/it/10 datarobot.NETWORK_EG
RESS_POLICY.NONE\T1/qtm/m/n/10 ,

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[]\T1/txtt/bx/n/10 is_training_data_for_versions_permanently_enabled \T1/qtm/m/
n/10 (\T1/txtt/m/n/10 Optional[bool]\T1/qtm/m/n/10 ) ^^U
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[]\T1/txtt/bx/n/10 target_type \T1/qtm/m/n/10 (\T1/txtt/m/n/10 datarobot.TARGET
_TYPE\T1/qtm/m/n/10 ) ^^U Tar-get type of the cus-

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\T1/qtm/m/n/10 tom in-fer-ence model. Val-ues: [\T1/qtm/m/it/10 datarobot.TARGE
T_TYPE.BINARY\T1/qtm/m/n/10 ,

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\T1/qtm/m/it/10 datarobot.TARGET_TYPE.REGRESSION\T1/qtm/m/n/10 , \T1/qtm/m/it/1
0 datarobot.TARGET_TYPE.MULTICLASS\T1/qtm/m/n/10 ,

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\T1/qtm/m/it/10 datarobot.TARGET_TYPE.UNSTRUCTURED\T1/qtm/m/n/10 , \T1/qtm/m/it
/10 datarobot.TARGET_TYPE.TEXT_GENERATION\T1/qtm/m/n/10 ] 

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[]\T1/txtt/bx/n/10 network_egress_policy \T1/qtm/m/n/10 (\T1/txtt/m/n/10 dataro
bot.NETWORK_EGRESS_POLICY\T1/qtm/m/n/10 , \T1/qtm/m/it/10 op-tional\T1/qtm/m/n/
10 )

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\T1/qtm/m/n/10 ^^U De-ter-mines whether the given cus-tom model is iso-lated, o
r can ac-cess the

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\T1/qtm/m/n/10 pub-lic net-work. Val-ues: [\T1/qtm/m/it/10 datarobot.NETWORK_EG
RESS_POLICY.NONE\T1/qtm/m/n/10 ,

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[]\T1/txtt/bx/n/10 is_training_data_for_versions_permanently_enabled \T1/qtm/m/
n/10 (\T1/txtt/m/n/10 Optional[bool]\T1/qtm/m/n/10 ) ^^U
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[]\T1/txtt/bx/n/10 is_training_data_for_versions_permanently_enabled \T1/qtm/m/
n/10 (\T1/txtt/m/n/10 Optional[bool]\T1/qtm/m/n/10 ) ^^U
[297]
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[]\T1/txtt/bx/n/10 image_type \T1/qtm/m/n/10 (\T1/txtt/m/n/10 str\T1/qtm/m/n/10
 ) ^^U the type of the im-age, ei-ther CUS-

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\T1/qtm/m/n/10 TOM_MODEL_IMAGE_TYPE.CUSTOM_MODEL_IMAGE if the test-

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\T1/qtm/m/n/10 ing at-tempt is us-ing a Cus-tom-Mod-e-lIm-age as its model or C
US-
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[]\T1/txtt/bx/n/10 network_egress_policy \T1/qtm/m/n/10 (\T1/txtt/m/n/10 dataro
bot.NETWORK_EGRESS_POLICY\T1/qtm/m/n/10 , \T1/qtm/m/it/10 op-tional\T1/qtm/m/n/
10 )

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\T1/qtm/m/n/10 ^^U De-ter-mines whether the given cus-tom model is iso-lated, o
r can ac-cess the

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\T1/qtm/m/n/10 pub-lic net-work. Val-ues: [\T1/qtm/m/it/10 datarobot.NETWORK_EG
RESS_POLICY.NONE\T1/qtm/m/n/10 ,

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[]\T1/txtt/bx/n/10 network_egress_policy \T1/qtm/m/n/10 (\T1/txtt/m/n/10 dataro
bot.NETWORK_EGRESS_POLICY\T1/qtm/m/n/10 , \T1/qtm/m/it/10 op-tional\T1/qtm/m/n/
10 )

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\T1/qtm/m/n/10 ^^U De-ter-mines whether the given cus-tom model is iso-lated, o
r can ac-cess the

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\T1/qtm/m/n/10 pub-lic net-work. Val-ues: [\T1/qtm/m/it/10 datarobot.NETWORK_EG
RESS_POLICY.NONE\T1/qtm/m/n/10 ,
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[]\T1/txtt/bx/n/10 network_egress_policy \T1/qtm/m/n/10 (\T1/txtt/m/n/10 dataro
bot.NETWORK_EGRESS_POLICY\T1/qtm/m/n/10 , \T1/qtm/m/it/10 op-tional\T1/qtm/m/n/
10 )

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\T1/qtm/m/n/10 ^^U De-ter-mines whether the given cus-tom model is iso-lated, o
r can ac-cess the

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\T1/qtm/m/n/10 pub-lic net-work. Val-ues: [\T1/qtm/m/it/10 datarobot.NETWORK_EG
RESS_POLICY.NONE\T1/qtm/m/n/10 ,
[302]
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[]\T1/txtt/bx/n/10 base_environment_version_id \T1/qtm/m/n/10 (\T1/txtt/m/n/10 
str\T1/qtm/m/n/10 ) ^^U The base en-vi-ron-ment ver-sion ID

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\T1/qtm/m/n/10 to use with this model ver-sion. At least one of ^^Pbase_environ
ment_id^^Q and

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[]\T1/txtt/bx/n/10 files \T1/qtm/m/n/10 (\T1/txtt/m/n/10 Optional[List]\T1/qtm/
m/n/10 ) ^^U The list of tu-ples, where val-ues in each

Underfull \hbox (badness 10000) in paragraph at lines 26594--26604
\T1/qtm/m/n/10 tu-ple are the lo-cal filesys-tem path and the path the file sho
uld be

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\T1/qtm/m/n/10 placed in the model. If the list is of strings, then base-names 
will be

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\T1/qtm/m/n/10 used for tu-ples. Ex-am-ple: [(^^P/home/user/Documents/myModel/f
ile1.txt^^Q,

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\T1/qtm/m/n/10 ^^Pfile1.txt^^Q), (^^P/home/user/Documents/myModel/folder/file2.
txt^^Q,

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\T1/qtm/m/n/10 ^^Pfolder/file2.txt^^Q)] or [^^P/home/user/Documents/myModel/fil
e1.txt^^Q,

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[]\T1/txtt/bx/n/10 network_egress_policy \T1/qtm/m/n/10 (\T1/txtt/m/n/10 dataro
bot.NETWORK_EGRESS_POLICY\T1/qtm/m/n/10 , \T1/qtm/m/it/10 op-tional\T1/qtm/m/n/
10 )

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\T1/qtm/m/n/10 ^^U De-ter-mines whether the given cus-tom model is iso-lated, o
r can ac-cess the

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\T1/qtm/m/n/10 pub-lic net-work. Val-ues: [\T1/qtm/m/it/10 datarobot.NETWORK_EG
RESS_POLICY.NONE\T1/qtm/m/n/10 ,
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[]\T1/txtt/bx/n/10 base_environment_version_id \T1/qtm/m/n/10 (\T1/txtt/m/n/10 
str\T1/qtm/m/n/10 ) ^^U The base en-vi-ron-ment ver-sion ID

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\T1/qtm/m/n/10 to use with this model ver-sion. At least one of ^^Pbase_environ
ment_id^^Q and

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[]\T1/txtt/bx/n/10 files \T1/qtm/m/n/10 (\T1/txtt/m/n/10 Optional[List]\T1/qtm/
m/n/10 ) ^^U The list of tu-ples, where val-ues in each

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\T1/qtm/m/n/10 tu-ple are the lo-cal filesys-tem path and the path the file sho
uld be

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\T1/qtm/m/n/10 placed in the model. If list is of strings, then base-names will
 be

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\T1/qtm/m/n/10 used for tu-ples Ex-am-ple: [(^^P/home/user/Documents/myModel/fi
le1.txt^^Q,

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\T1/qtm/m/n/10 ^^Pfile1.txt^^Q), (^^P/home/user/Documents/myModel/folder/file2.
txt^^Q,

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\T1/qtm/m/n/10 ^^Pfolder/file2.txt^^Q)] or [^^P/home/user/Documents/myModel/fil
e1.txt^^Q,

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[]\T1/txtt/bx/n/10 network_egress_policy \T1/qtm/m/n/10 (\T1/txtt/m/n/10 dataro
bot.NETWORK_EGRESS_POLICY\T1/qtm/m/n/10 , \T1/qtm/m/it/10 op-tional\T1/qtm/m/n/
10 )

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\T1/qtm/m/n/10 ^^U De-ter-mines whether the given cus-tom model is iso-lated, o
r can ac-cess the

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\T1/qtm/m/n/10 pub-lic net-work. Val-ues: [\T1/qtm/m/it/10 datarobot.NETWORK_EG
RESS_POLICY.NONE\T1/qtm/m/n/10 ,
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Underfull \hbox (badness 10000) in paragraph at lines 28273--28276
[]\T1/txtt/bx/n/10 build_status \T1/qtm/m/n/10 (\T1/txtt/m/n/10 Optional[str]\T
1/qtm/m/n/10 ) ^^U build sta-tus of

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\T1/qtm/m/n/10 the ex-e-cu-tion en-vi-ron-ment ver-sion to fil-ter by. See

Underfull \hbox (badness 10000) in paragraph at lines 28273--28276
\T1/qtm/m/n/10 datarobot.enums.EXECUTION_ENVIRONMENT_VERSION_BUILD_STATUS
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Underfull \hbox (badness 10000) in paragraph at lines 29015--29020
[]\T1/txtt/bx/n/10 calibrate_predictions \T1/qtm/m/n/10 (\T1/txtt/m/n/10 Option
al[bool]\T1/qtm/m/n/10 ) ^^U whether anomaly pre-dic-tions

Underfull \hbox (badness 6658) in paragraph at lines 29015--29020
\T1/qtm/m/n/10 should be cal-i-brated to be be-tween 0 and 1 by DR. if None, us
es de-fault
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[336]
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[] \T1/txtt/m/n/10 code[]block:\T1/qtm/m/n/10 : \T1/txtt/m/n/10 python \T1/qtm/
m/n/10 ^^U from datarobot.models.deployment

Underfull \hbox (badness 10000) in paragraph at lines 31052--31055
\T1/qtm/m/n/10 im-port Train-ing-Data-Ex-port dataset_id = Train-ing-Data-Ex-
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[]\T1/txtt/bx/n/10 database_driver \T1/qtm/m/n/10 (\T1/txtt/m/n/10 str\T1/qtm/m
/n/10 ) ^^U Op-tional. Spec-ify when typ is \T1/qtm/m/it/10 DataDriver-
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[]\T1/txtt/bx/n/10 jdbc_url \T1/qtm/m/n/10 (\T1/txtt/m/n/10 str\T1/qtm/m/n/10 )
 ^^U Op-tional. The full JDBC URL (for ex-am-ple:
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[]\T1/txtt/bx/n/10 jdbc_url \T1/qtm/m/n/10 (\T1/txtt/m/n/10 str\T1/qtm/m/n/10 )
 ^^U Op-tional. The full JDBC URL (for ex-am-ple:
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\T1/qtm/m/n/10 GIVEN _ NAME / SCHEMA . TABLE _ NAME$[][]' - `[][]$jdbc : DATA _
 SOURCE _ GIVEN _

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[]\T1/txtt/bx/n/10 resolutions \T1/qtm/m/n/10 (\T1/txtt/m/n/10 list \T1/qtm/m/n
/10 of \T1/txtt/m/n/10 string\T1/qtm/m/n/10 ) ^^U A list of \T1/txtt/m/n/10 dat
arobot.enums.

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\T1/txtt/m/n/10 DATETIME_TREND_PLOTS_RESOLUTION\T1/qtm/m/n/10 , which rep-re-se
nts avail-able time res-o-lu-tions
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\T1/qtm/m/n/10 Sta-tus back-test/holdout train-ing. One of \T1/txtt/m/n/10 data
robot.enums.

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\T1/qtm/m/n/10 Sta-tus back-test/holdout val-i-da-tion. One of \T1/txtt/m/n/10 
datarobot.enums.
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[]\T1/txtt/bx/n/10 resolutions \T1/qtm/m/n/10 (\T1/txtt/m/n/10 list \T1/qtm/m/n
/10 of \T1/txtt/m/n/10 string\T1/qtm/m/n/10 ) ^^U A list of \T1/txtt/m/n/10 dat
arobot.enums.

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\T1/txtt/m/n/10 DATETIME_TREND_PLOTS_RESOLUTION\T1/qtm/m/n/10 , which rep-re-se
nts avail-able time res-o-lu-tions
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[]\T1/txtt/bx/n/10 resolutions \T1/qtm/m/n/10 (\T1/txtt/m/n/10 list \T1/qtm/m/n
/10 of \T1/txtt/m/n/10 string\T1/qtm/m/n/10 ) ^^U A list of \T1/txtt/m/n/10 dat
arobot.enums.

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\T1/txtt/m/n/10 DATETIME_TREND_PLOTS_RESOLUTION\T1/qtm/m/n/10 , which rep-re-se
nts avail-able time res-o-lu-tions
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\T1/qtm/m/n/10 Sta-tus back-test/holdout train-ing. One of \T1/txtt/m/n/10 data
robot.enums.

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\T1/qtm/m/n/10 Sta-tus back-test/holdout val-i-da-tion. One of \T1/txtt/m/n/10 
datarobot.enums.
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[]\T1/qtm/m/n/10 datarobot-key \T1/txtt/m/n/10 str \T1/qtm/m/n/10 Cor-re-sponds
 the to the \T1/txtt/m/n/10 PredictionServer \T1/qtm/m/n/10 ^^Psnake_cased^^Q
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\T1/qtm/m/n/10 If pre-dic-tions data col-lec-tion is en-abled for this de-ploy-
ment.

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\T1/qtm/m/n/10 To up-date ex-ist-ing `'pre-dic-tions_data_collection'' set-ting
s, see
(/usr/share/texlive/texmf-dist/tex/latex/fontawesome5/ufontawesomefree2.fd)
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[]\T1/txtt/bx/n/10 share_recipient_type \T1/qtm/m/n/10 (\T1/txtt/m/n/10 enum(\T
S1/txtt/m/n/10 ``\T1/qtm/m/n/10 'user'\T1/txtt/m/n/10 , \TS1/txtt/m/n/10 ``'\T1
/txtt/m/n/10 group\TS1/txtt/m/n/10 '\T1/qtm/m/n/10 , \TS1/txtt/m/n/10 '\T1/txtt
/m/n/10 organization\TS1/txtt/m/n/10 '\T1/txtt/m/n/10 )\T1/qtm/m/n/10 ,

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\T1/txtt/bx/n/10 roles \T1/qtm/m/n/10 (\T1/txtt/m/n/10 list(or(GrantAccessContr
olWithUsernameValidator\T1/qtm/m/n/10 ,
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[]\T1/txtt/bx/n/10 target_drift \T1/qtm/m/n/10 (\T1/txtt/m/n/10 Settings\T1/qtm
/m/n/10 ) ^^U If tar-get drift track-ing is en-abled for this

Underfull \hbox (badness 10000) in paragraph at lines 42158--42162
\T1/qtm/m/n/10 de-ploy-ment. To cre-ate or up-date ex-ist-ing \T1/txtt/m/n/10 t
arget_drift \T1/qtm/m/n/10 set-tings, see

Underfull \hbox (badness 10000) in paragraph at lines 42164--42168
[]\T1/txtt/bx/n/10 feature_drift \T1/qtm/m/n/10 (\T1/txtt/m/n/10 Settings\T1/qt
m/m/n/10 ) ^^U If fea-ture drift track-ing is en-abled for this

Underfull \hbox (badness 10000) in paragraph at lines 42164--42168
\T1/qtm/m/n/10 de-ploy-ment. To cre-ate or up-date ex-ist-ing \T1/txtt/m/n/10 f
eature_drift \T1/qtm/m/n/10 set-tings, see
[424]
Underfull \hbox (badness 10000) in paragraph at lines 42211--42215
[]\T1/txtt/bx/n/10 enabled \T1/qtm/m/n/10 (\T1/txtt/m/n/10 bool\T1/qtm/m/n/10 )
 ^^U If tar-get pre-dic-tion_warning is en-abled for this de-ploy-

Underfull \hbox (badness 10000) in paragraph at lines 42211--42215
\T1/qtm/m/n/10 ment. To cre-ate or up-date ex-ist-ing `'pre-dic-tion_warning'' 
set-tings, see
[425] [426] [427] [428] [429] [430] [431]
Underfull \hbox (badness 10000) in paragraph at lines 43160--43162
[]\T1/txtt/bx/n/10 backtests \T1/qtm/m/n/10 (\T1/txtt/m/n/10 list \T1/qtm/m/n/1
0 of \T1/txtt/m/n/10 dicts containing validation_start_date \T1/qtm/m/n/10 and
[432] [433] [434] [435] [436]
Underfull \hbox (badness 10000) in paragraph at lines 43820--43825
[]\T1/qtm/m/n/10 {`key':'DataRobot', `sum-mary':{`min':0, `max':29815.0, `std-D
ev':6498.029,
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Underfull \hbox (badness 10000) in paragraph at lines 44383--44388
[]\T1/qtm/m/n/10 {`key':'DataRobot', `sum-mary':{`min':0, `max':29815.0, `std-D
ev':6498.029,
[441] [442] [443] [444]
Underfull \hbox (badness 5331) in paragraph at lines 44851--44853
[]\T1/txtt/bx/n/10 values \T1/qtm/m/n/10 (\T1/txtt/m/n/10 list(dict)\T1/qtm/m/n
/10 ) ^^U List of His-togram val-ues with a schema de-scribed as
[445]
Underfull \hbox (badness 10000) in paragraph at lines 45098--45101
[]\T1/qtm/m/n/10 E.g. The prob-a-bil-ity P(A=0,B=1) can be re-trieved via:

Underfull \hbox (badness 10000) in paragraph at lines 45098--45101
\T1/txtt/m/n/10 pairwise_joint_probabilities.statistic_dataframes[(0,1)].loc[\T
S1/txtt/m/n/10 '\T1/txtt/m/n/10 A\TS1/txtt/m/n/10 '\T1/txtt/m/n/10 ,
[446] [447]
Underfull \hbox (badness 10000) in paragraph at lines 45249--45252
[]\T1/qtm/m/n/10 E.g. The prob-a-bil-ity P(A=0|B=1) can be re-trieved via:

Underfull \hbox (badness 10000) in paragraph at lines 45249--45252
\T1/txtt/m/n/10 pairwise_conditional_probabilities.statistic_dataframes[(0,1)].

[448] [449]
Underfull \hbox (badness 10000) in paragraph at lines 45582--45585
[]\T1/txtt/bx/n/10 metric \T1/qtm/m/n/10 (\T1/txtt/m/n/10 enums.FEATURE_ASSOCIA
TION_METRIC\T1/qtm/m/n/10 ) ^^U The name of a met-

Underfull \hbox (badness 5563) in paragraph at lines 45582--45585
\T1/qtm/m/n/10 ric to get pair-wise data for. Since `v2.19' this is op-tional a
nd de-faults to
[450]
Underfull \hbox (badness 10000) in paragraph at lines 45587--45590
[]\T1/txtt/bx/n/10 association_type \T1/qtm/m/n/10 (\T1/txtt/m/n/10 enums.FEATU
RE_ASSOCIATION_TYPE\T1/qtm/m/n/10 ) ^^U The type of

Underfull \hbox (badness 10000) in paragraph at lines 45587--45590
\T1/qtm/m/n/10 de-pen-dence for the data. Since `v2.19' this is op-tional and d
e-faults to
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[463] [464] [465] [466] [467] [468] [469] [470] [471] [472] [473] [474]
[475] [476] [477] [478] [479] [480] [481] [482] [483] [484] [485] [486]
Underfull \hbox (badness 10000) in paragraph at lines 50624--50626
[]\T1/txtt/bx/n/10 embedding_validation \T1/qtm/m/n/10 (\T1/txtt/m/n/10 Optiona
l[CustomModelEmbeddingValidation\T1/qtm/m/n/10 ,
[487] [488] [489] [490] [491] [492] [493] [494] [495] [496] [497] [498]
[499] [500] [501] [502] [503] [504]
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[]\T1/txtt/bx/n/10 prompt_moderation_configuration \T1/qtm/m/n/10 (\T1/txtt/m/n
/10 ModerationConfigurationWithoutID\T1/qtm/m/n/10 , \T1/qtm/m/it/10 op-
[505] [506]
Underfull \hbox (badness 10000) in paragraph at lines 53372--53374
[]\T1/txtt/bx/n/10 response_moderation_configuration \T1/qtm/m/n/10 (\T1/txtt/m
/n/10 ModerationConfigurationWithoutID\T1/qtm/m/n/10 ,
[507] [508] [509] [510] [511] [512] [513] [514] [515] [516] [517] [518]
[519] [520] [521] [522] [523] [524] [525] [526] [527] [528] [529] [530]
[531] [532] [533] [534] [535] [536] [537] [538] [539]
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[]\T1/txtt/bx/n/10 source \T1/qtm/m/n/10 (\T1/txtt/m/n/10 str\T1/qtm/m/n/10 ) ^
^U Con-fu-sion chart source. Check
[540]
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[]\T1/txtt/bx/n/10 fairness_metrics_set \T1/qtm/m/n/10 (\T1/txtt/m/n/10 Optiona
l[str]\T1/qtm/m/n/10 ) ^^U Can be one of
[541] [542]
Underfull \hbox (badness 10000) in paragraph at lines 58590--58593
\T1/qtm/m/n/10 keys: \T1/txtt/m/n/10 featureName\T1/qtm/m/n/10 , \T1/txtt/m/n/1
0 impactNormalized\T1/qtm/m/n/10 , and \T1/txtt/m/n/10 impactUnnormalized\T1/qt
m/m/n/10 , and
[543]
Underfull \hbox (badness 10000) in paragraph at lines 58716--58718
[]\T1/txtt/bx/n/10 source \T1/qtm/m/n/10 (\T1/txtt/m/n/10 str\T1/qtm/m/n/10 ) ^
^U ROC curve data source. Check
[544] [545] [546] [547]
Underfull \hbox (badness 10000) in paragraph at lines 59318--59321
[]\T1/txtt/bx/n/10 source \T1/qtm/m/n/10 (\T1/txtt/m/n/10 str\T1/qtm/m/n/10 ) ^
^U Resid-u-als chart data source. Check
[548]
Underfull \hbox (badness 10000) in paragraph at lines 59377--59381
[]\T1/txtt/bx/n/10 source \T1/qtm/m/n/10 (\T1/txtt/m/n/10 str\T1/qtm/m/n/10 ) ^
^U ROC curve data source. Check
[549] [550] [551]
Underfull \hbox (badness 10000) in paragraph at lines 59852--59855
\T1/txtt/bx/n/10 fairness_metrics_set \T1/qtm/m/n/10 (\T1/txtt/m/n/10 Optional[
str]\T1/qtm/m/n/10 ) ^^U Can be one of
[552] [553]
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[]\T1/qtm/m/n/10 All du-ra-tions should be spec-i-fied with a du-ra-tion string
 such as those re-turned by the

Underfull \hbox (badness 8075) in paragraph at lines 60043--60048
[][]\T1/txtt/m/sl/10 partitioning_methods.construct_duration_string[][] \T1/qtm
/m/n/10 helper method. Please see [][]\T1/qtm/m/it/10 date-time
[554] [555]
Underfull \hbox (badness 10000) in paragraph at lines 60298--60301
[]\T1/txtt/bx/n/10 explanation_algorithm \T1/qtm/m/n/10 (\T1/txtt/m/n/10 (New i
n version v2.21) optional; If set \T1/qtm/m/n/10 to

Underfull \hbox (badness 10000) in paragraph at lines 60303--60309
[]\T1/txtt/bx/n/10 max_explanations \T1/qtm/m/n/10 (\T1/txtt/m/n/10 (New in ver
sion v2.21) int optional; specifies the
[556]
Underfull \hbox (badness 10000) in paragraph at lines 60347--60349
[]\T1/txtt/bx/n/10 source \T1/qtm/m/n/10 (\T1/txtt/m/n/10 str\T1/qtm/m/n/10 ) ^
^U Resid-u-als chart data source. Check

Underfull \hbox (badness 10000) in paragraph at lines 60383--60385
[]\T1/txtt/bx/n/10 source \T1/qtm/m/n/10 (\T1/txtt/m/n/10 str\T1/qtm/m/n/10 ) ^
^U Roc Curve data source. Check
[557] [558]
Underfull \hbox (badness 10000) in paragraph at lines 60660--60669
[]\T1/txtt/bx/n/10 scoring_type \T1/qtm/m/n/10 (\T1/txtt/m/n/10 Optional[str]\T
1/qtm/m/n/10 ) ^^U Ei-ther \T1/txtt/m/n/10 validation \T1/qtm/m/n/10 or \T1/txt
t/m/n/10 crossValidation
[559]
Underfull \hbox (badness 10000) in paragraph at lines 60729--60734
[]\T1/qtm/m/n/10 All du-ra-tions should be spec-i-fied with a du-ra-tion string
 such as those re-turned by the

Underfull \hbox (badness 8075) in paragraph at lines 60729--60734
[][]\T1/txtt/m/sl/10 partitioning_methods.construct_duration_string[][] \T1/qtm
/m/n/10 helper method. Please see [][]\T1/qtm/m/it/10 date-time

Underfull \hbox (badness 7133) in paragraph at lines 60742--60745
\T1/qtm/m/n/10 be used to train the model. If spec-i-fied, nei-ther \T1/txtt/m/
n/10 training_duration \T1/qtm/m/n/10 nor
[560] [561] [562] [563] [564] [565] [566] [567] [568] [569]
Underfull \hbox (badness 10000) in paragraph at lines 61841--61843
[]\T1/txtt/bx/n/10 source \T1/qtm/m/n/10 (\T1/txtt/m/n/10 str\T1/qtm/m/n/10 ) ^
^U Con-fu-sion chart source. Check
[570]
Underfull \hbox (badness 10000) in paragraph at lines 61992--61995
[]\T1/txtt/bx/n/10 fairness_metrics_set \T1/qtm/m/n/10 (\T1/txtt/m/n/10 Optiona
l[str]\T1/qtm/m/n/10 ) ^^U Can be one of
[571] [572]
Underfull \hbox (badness 10000) in paragraph at lines 62240--62243
\T1/qtm/m/n/10 keys: \T1/txtt/m/n/10 featureName\T1/qtm/m/n/10 , \T1/txtt/m/n/1
0 impactNormalized\T1/qtm/m/n/10 , and \T1/txtt/m/n/10 impactUnnormalized\T1/qt
m/m/n/10 , and

Underfull \hbox (badness 10000) in paragraph at lines 62366--62368
[]\T1/txtt/bx/n/10 source \T1/qtm/m/n/10 (\T1/txtt/m/n/10 str\T1/qtm/m/n/10 ) ^
^U ROC curve data source. Check
[573] [574] [575] [576] [577]
Underfull \hbox (badness 10000) in paragraph at lines 62968--62971
[]\T1/txtt/bx/n/10 source \T1/qtm/m/n/10 (\T1/txtt/m/n/10 str\T1/qtm/m/n/10 ) ^
^U Resid-u-als chart data source. Check

Underfull \hbox (badness 10000) in paragraph at lines 63027--63031
[]\T1/txtt/bx/n/10 source \T1/qtm/m/n/10 (\T1/txtt/m/n/10 str\T1/qtm/m/n/10 ) ^
^U ROC curve data source. Check
[578] [579] [580] [581]
Underfull \hbox (badness 10000) in paragraph at lines 63472--63475
\T1/txtt/bx/n/10 fairness_metrics_set \T1/qtm/m/n/10 (\T1/txtt/m/n/10 Optional[
str]\T1/qtm/m/n/10 ) ^^U Can be one of
[582] [583]
Underfull \hbox (badness 10000) in paragraph at lines 63778--63781
[]\T1/txtt/bx/n/10 explanation_algorithm \T1/qtm/m/n/10 (\T1/txtt/m/n/10 (New i
n version v2.21) optional; If set \T1/qtm/m/n/10 to

Underfull \hbox (badness 10000) in paragraph at lines 63783--63789
[]\T1/txtt/bx/n/10 max_explanations \T1/qtm/m/n/10 (\T1/txtt/m/n/10 (New in ver
sion v2.21) int optional; specifies the
[584]
Underfull \hbox (badness 10000) in paragraph at lines 63827--63829
[]\T1/txtt/bx/n/10 source \T1/qtm/m/n/10 (\T1/txtt/m/n/10 str\T1/qtm/m/n/10 ) ^
^U Resid-u-als chart data source. Check

Underfull \hbox (badness 10000) in paragraph at lines 63863--63865
[]\T1/txtt/bx/n/10 source \T1/qtm/m/n/10 (\T1/txtt/m/n/10 str\T1/qtm/m/n/10 ) ^
^U Roc Curve data source. Check
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[]\T1/txtt/bx/n/10 source \T1/qtm/m/n/10 (\T1/txtt/m/n/10 str\T1/qtm/m/n/10 ) ^
^U Con-fu-sion chart source. Check
[595]
Underfull \hbox (badness 10000) in paragraph at lines 65190--65193
[]\T1/txtt/bx/n/10 fairness_metrics_set \T1/qtm/m/n/10 (\T1/txtt/m/n/10 Optiona
l[str]\T1/qtm/m/n/10 ) ^^U Can be one of
[596] [597]
Underfull \hbox (badness 10000) in paragraph at lines 65438--65441
\T1/qtm/m/n/10 keys: \T1/txtt/m/n/10 featureName\T1/qtm/m/n/10 , \T1/txtt/m/n/1
0 impactNormalized\T1/qtm/m/n/10 , and \T1/txtt/m/n/10 impactUnnormalized\T1/qt
m/m/n/10 , and
[598]
Underfull \hbox (badness 10000) in paragraph at lines 65564--65566
[]\T1/txtt/bx/n/10 source \T1/qtm/m/n/10 (\T1/txtt/m/n/10 str\T1/qtm/m/n/10 ) ^
^U ROC curve data source. Check
[599] [600] [601] [602]
Underfull \hbox (badness 10000) in paragraph at lines 66166--66169
[]\T1/txtt/bx/n/10 source \T1/qtm/m/n/10 (\T1/txtt/m/n/10 str\T1/qtm/m/n/10 ) ^
^U Resid-u-als chart data source. Check
[603]
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[]\T1/txtt/bx/n/10 source \T1/qtm/m/n/10 (\T1/txtt/m/n/10 str\T1/qtm/m/n/10 ) ^
^U ROC curve data source. Check
[604] [605] [606]
Underfull \hbox (badness 10000) in paragraph at lines 66700--66703
\T1/txtt/bx/n/10 fairness_metrics_set \T1/qtm/m/n/10 (\T1/txtt/m/n/10 Optional[
str]\T1/qtm/m/n/10 ) ^^U Can be one of
[607] [608]
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[]\T1/qtm/m/n/10 All du-ra-tions should be spec-i-fied with a du-ra-tion string
 such as those re-turned by the

Underfull \hbox (badness 8075) in paragraph at lines 66891--66896
[][]\T1/txtt/m/sl/10 partitioning_methods.construct_duration_string[][] \T1/qtm
/m/n/10 helper method. Please see [][]\T1/qtm/m/it/10 date-time
[609] [610]
Underfull \hbox (badness 10000) in paragraph at lines 67146--67149
[]\T1/txtt/bx/n/10 explanation_algorithm \T1/qtm/m/n/10 (\T1/txtt/m/n/10 (New i
n version v2.21) optional; If set \T1/qtm/m/n/10 to

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[]\T1/txtt/bx/n/10 max_explanations \T1/qtm/m/n/10 (\T1/txtt/m/n/10 (New in ver
sion v2.21) int optional; specifies the
[611]
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[]\T1/txtt/bx/n/10 source \T1/qtm/m/n/10 (\T1/txtt/m/n/10 str\T1/qtm/m/n/10 ) ^
^U Resid-u-als chart data source. Check

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[]\T1/txtt/bx/n/10 source \T1/qtm/m/n/10 (\T1/txtt/m/n/10 str\T1/qtm/m/n/10 ) ^
^U Roc Curve data source. Check
[612] [613]
Underfull \hbox (badness 10000) in paragraph at lines 67508--67517
[]\T1/txtt/bx/n/10 scoring_type \T1/qtm/m/n/10 (\T1/txtt/m/n/10 Optional[str]\T
1/qtm/m/n/10 ) ^^U Ei-ther \T1/txtt/m/n/10 validation \T1/qtm/m/n/10 or \T1/txt
t/m/n/10 crossValidation
[614]
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[]\T1/qtm/m/n/10 All du-ra-tions should be spec-i-fied with a du-ra-tion string
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Underfull \hbox (badness 8075) in paragraph at lines 67577--67582
[][]\T1/txtt/m/sl/10 partitioning_methods.construct_duration_string[][] \T1/qtm
/m/n/10 helper method. Please see [][]\T1/qtm/m/it/10 date-time

Underfull \hbox (badness 7133) in paragraph at lines 67590--67593
\T1/qtm/m/n/10 be used to train the model. If spec-i-fied, nei-ther \T1/txtt/m/
n/10 training_duration \T1/qtm/m/n/10 nor
[615] [616]
Underfull \hbox (badness 5217) in paragraph at lines 67823--67826
[]\T1/txtt/bx/n/10 sampling_method \T1/qtm/m/n/10 (\T1/txtt/m/n/10 str \T1/qtm/
m/n/10 or \T1/txtt/m/n/10 None\T1/qtm/m/n/10 ) ^^U (New in v2.23) in-di-cates t
he way train-ing
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[]\T1/qtm/m/n/10 All du-ra-tions should be spec-i-fied with a du-ra-tion string
 such as those re-turned by the

Underfull \hbox (badness 8075) in paragraph at lines 68368--68373
[][]\T1/txtt/m/sl/10 partitioning_methods.construct_duration_string[][] \T1/qtm
/m/n/10 helper method. Please see [][]\T1/qtm/m/it/10 date-time
[622] [623] [624] [625] [626] [627] [628] [629] [630] [631] [632] [633]
Underfull \hbox (badness 10000) in paragraph at lines 69744--69747
\T1/qtm/m/n/10 keys: \T1/txtt/m/n/10 featureName\T1/qtm/m/n/10 , \T1/txtt/m/n/1
0 impactNormalized\T1/qtm/m/n/10 , and \T1/txtt/m/n/10 impactUnnormalized\T1/qt
m/m/n/10 , and
[634] [635] [636] [637] [638] [639] [640] [641] [642] [643]
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[]\T1/txtt/bx/n/10 source \T1/qtm/m/n/10 (\T1/txtt/m/n/10 str\T1/qtm/m/n/10 ) ^
^U Con-fu-sion chart source. Check

Underfull \hbox (badness 10000) in paragraph at lines 70864--70867
[]\T1/txtt/bx/n/10 fairness_metrics_set \T1/qtm/m/n/10 (\T1/txtt/m/n/10 Optiona
l[str]\T1/qtm/m/n/10 ) ^^U Can be one of
[644]
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[]\T1/txtt/bx/n/10 source \T1/qtm/m/n/10 (\T1/txtt/m/n/10 str\T1/qtm/m/n/10 ) ^
^U ROC curve data source. Check
[645] [646] [647]
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[]\T1/txtt/bx/n/10 source \T1/qtm/m/n/10 (\T1/txtt/m/n/10 str\T1/qtm/m/n/10 ) ^
^U Resid-u-als chart data source. Check
[648] [649] [650]
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\T1/txtt/bx/n/10 fairness_metrics_set \T1/qtm/m/n/10 (\T1/txtt/m/n/10 Optional[
str]\T1/qtm/m/n/10 ) ^^U Can be one of
[651]
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[]\T1/qtm/m/n/10 All du-ra-tions should be spec-i-fied with a du-ra-tion string
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Underfull \hbox (badness 8075) in paragraph at lines 71876--71881
[][]\T1/txtt/m/sl/10 partitioning_methods.construct_duration_string[][] \T1/qtm
/m/n/10 helper method. Please see [][]\T1/qtm/m/it/10 date-time
[652]
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[]\T1/txtt/bx/n/10 explanation_algorithm \T1/qtm/m/n/10 (\T1/txtt/m/n/10 (New i
n version v2.21) optional; If set \T1/qtm/m/n/10 to

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[]\T1/txtt/bx/n/10 max_explanations \T1/qtm/m/n/10 (\T1/txtt/m/n/10 (New in ver
sion v2.21) int optional; specifies the
[653]
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[]\T1/txtt/bx/n/10 source \T1/qtm/m/n/10 (\T1/txtt/m/n/10 str\T1/qtm/m/n/10 ) ^
^U Resid-u-als chart data source. Check
[654]
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[]\T1/qtm/m/n/10 All du-ra-tions should be spec-i-fied with a du-ra-tion string
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Underfull \hbox (badness 8075) in paragraph at lines 72214--72219
[][]\T1/txtt/m/sl/10 partitioning_methods.construct_duration_string[][] \T1/qtm
/m/n/10 helper method. Please see [][]\T1/qtm/m/it/10 date-time

Underfull \hbox (badness 7133) in paragraph at lines 72227--72230
\T1/qtm/m/n/10 be used to train the model. If spec-i-fied, nei-ther \T1/txtt/m/
n/10 training_duration \T1/qtm/m/n/10 nor
[655] [656] [657] [658] [659] [660] [661] [662] [663] [664] [665]
Underfull \hbox (badness 10000) in paragraph at lines 73464--73466
[]\T1/txtt/bx/n/10 source \T1/qtm/m/n/10 (\T1/txtt/m/n/10 str\T1/qtm/m/n/10 ) ^
^U Con-fu-sion chart source. Check
[666]
Underfull \hbox (badness 10000) in paragraph at lines 73615--73618
[]\T1/txtt/bx/n/10 fairness_metrics_set \T1/qtm/m/n/10 (\T1/txtt/m/n/10 Optiona
l[str]\T1/qtm/m/n/10 ) ^^U Can be one of
[667] [668]
Underfull \hbox (badness 10000) in paragraph at lines 73863--73866
\T1/qtm/m/n/10 keys: \T1/txtt/m/n/10 featureName\T1/qtm/m/n/10 , \T1/txtt/m/n/1
0 impactNormalized\T1/qtm/m/n/10 , and \T1/txtt/m/n/10 impactUnnormalized\T1/qt
m/m/n/10 , and
[669]
Underfull \hbox (badness 10000) in paragraph at lines 73989--73991
[]\T1/txtt/bx/n/10 source \T1/qtm/m/n/10 (\T1/txtt/m/n/10 str\T1/qtm/m/n/10 ) ^
^U ROC curve data source. Check
[670] [671] [672] [673]
Underfull \hbox (badness 10000) in paragraph at lines 74591--74594
[]\T1/txtt/bx/n/10 source \T1/qtm/m/n/10 (\T1/txtt/m/n/10 str\T1/qtm/m/n/10 ) ^
^U Resid-u-als chart data source. Check

Underfull \hbox (badness 10000) in paragraph at lines 74650--74654
[]\T1/txtt/bx/n/10 source \T1/qtm/m/n/10 (\T1/txtt/m/n/10 str\T1/qtm/m/n/10 ) ^
^U ROC curve data source. Check
[674] [675] [676] [677]
Underfull \hbox (badness 10000) in paragraph at lines 75125--75128
\T1/txtt/bx/n/10 fairness_metrics_set \T1/qtm/m/n/10 (\T1/txtt/m/n/10 Optional[
str]\T1/qtm/m/n/10 ) ^^U Can be one of
[678] [679]
Underfull \hbox (badness 10000) in paragraph at lines 75316--75321
[]\T1/qtm/m/n/10 All du-ra-tions should be spec-i-fied with a du-ra-tion string
 such as those re-turned by the

Underfull \hbox (badness 8075) in paragraph at lines 75316--75321
[][]\T1/txtt/m/sl/10 partitioning_methods.construct_duration_string[][] \T1/qtm
/m/n/10 helper method. Please see [][]\T1/qtm/m/it/10 date-time
[680] [681]
Underfull \hbox (badness 10000) in paragraph at lines 75571--75574
[]\T1/txtt/bx/n/10 explanation_algorithm \T1/qtm/m/n/10 (\T1/txtt/m/n/10 (New i
n version v2.21) optional; If set \T1/qtm/m/n/10 to

Underfull \hbox (badness 10000) in paragraph at lines 75576--75582
[]\T1/txtt/bx/n/10 max_explanations \T1/qtm/m/n/10 (\T1/txtt/m/n/10 (New in ver
sion v2.21) int optional; specifies the
[682]
Underfull \hbox (badness 10000) in paragraph at lines 75620--75622
[]\T1/txtt/bx/n/10 source \T1/qtm/m/n/10 (\T1/txtt/m/n/10 str\T1/qtm/m/n/10 ) ^
^U Resid-u-als chart data source. Check

Underfull \hbox (badness 10000) in paragraph at lines 75656--75658
[]\T1/txtt/bx/n/10 source \T1/qtm/m/n/10 (\T1/txtt/m/n/10 str\T1/qtm/m/n/10 ) ^
^U Roc Curve data source. Check
[683] [684]
Underfull \hbox (badness 10000) in paragraph at lines 75933--75942
[]\T1/txtt/bx/n/10 scoring_type \T1/qtm/m/n/10 (\T1/txtt/m/n/10 Optional[str]\T
1/qtm/m/n/10 ) ^^U Ei-ther \T1/txtt/m/n/10 validation \T1/qtm/m/n/10 or \T1/txt
t/m/n/10 crossValidation
[685]
Underfull \hbox (badness 10000) in paragraph at lines 76002--76007
[]\T1/qtm/m/n/10 All du-ra-tions should be spec-i-fied with a du-ra-tion string
 such as those re-turned by the

Underfull \hbox (badness 8075) in paragraph at lines 76002--76007
[][]\T1/txtt/m/sl/10 partitioning_methods.construct_duration_string[][] \T1/qtm
/m/n/10 helper method. Please see [][]\T1/qtm/m/it/10 date-time

Underfull \hbox (badness 7133) in paragraph at lines 76015--76018
\T1/qtm/m/n/10 be used to train the model. If spec-i-fied, nei-ther \T1/txtt/m/
n/10 training_duration \T1/qtm/m/n/10 nor
[686] [687] [688] [689] [690] [691] [692]
Underfull \hbox (badness 10000) in paragraph at lines 77166--77169
[]\T1/qtm/m/n/10 This is the spec-i-fi-ca-tion that should be passed to [][]\T1
/txtt/m/sl/10 Project.analyze_and_model[][] \T1/qtm/m/n/10 via the

Underfull \hbox (badness 10000) in paragraph at lines 77176--77179
[]\T1/qtm/m/n/10 Note that ei-ther (\T1/txtt/m/n/10 holdout_start_date\T1/qtm/m
/n/10 , \T1/txtt/m/n/10 holdout_duration\T1/qtm/m/n/10 ) or (\T1/txtt/m/n/10 ho
ldout_start_date\T1/qtm/m/n/10 ,

Underfull \hbox (badness 10000) in paragraph at lines 77187--77190
[]\T1/txtt/bx/n/10 autopilot_data_selection_method \T1/qtm/m/n/10 (\T1/txtt/m/n
/10 str\T1/qtm/m/n/10 ) ^^U one of \T1/txtt/m/n/10 datarobot.enums.

Underfull \hbox (badness 7133) in paragraph at lines 77187--77190
\T1/txtt/m/n/10 DATETIME_AUTOPILOT_DATA_SELECTION_METHOD\T1/qtm/m/n/10 . Whethe
r mod-els cre-ated by the
[693] [694]
Underfull \hbox (badness 6927) in paragraph at lines 77304--77307
[]\T1/txtt/bx/n/10 periodicities \T1/qtm/m/n/10 (\T1/txtt/m/n/10 list \T1/qtm/m
/n/10 of [][]\T1/txtt/m/sl/10 Periodicity[][]\T1/qtm/m/n/10 , \T1/qtm/m/it/10 o
p-tional\T1/qtm/m/n/10 ) ^^U (New in ver-sion v2.9) a
[695] [696]
Underfull \hbox (badness 10000) in paragraph at lines 77493--77498
[]\T1/qtm/m/n/10 Op-tion 2 (New in ver-sion v2.20): Use \T1/txtt/m/n/10 index\T
1/qtm/m/n/10 , \T1/txtt/m/n/10 primary_training_start_date\T1/qtm/m/n/10 ,
[697]
Underfull \hbox (badness 10000) in paragraph at lines 77671--77673
[]\T1/txtt/bx/n/10 time_unit \T1/qtm/m/n/10 (\T1/txtt/m/n/10 string\T1/qtm/m/n/
10 ) ^^U Time step unit, valid op-tions are val-ues from
[698]
Underfull \hbox (badness 10000) in paragraph at lines 77771--77774
[]\T1/txtt/bx/n/10 autopilot_data_selection_method \T1/qtm/m/n/10 (\T1/txtt/m/n
/10 str\T1/qtm/m/n/10 ) ^^U one of \T1/txtt/m/n/10 datarobot.enums.

Underfull \hbox (badness 7133) in paragraph at lines 77771--77774
\T1/txtt/m/n/10 DATETIME_AUTOPILOT_DATA_SELECTION_METHOD\T1/qtm/m/n/10 . Whethe
r mod-els cre-ated by the
[699] [700]
Underfull \hbox (badness 6927) in paragraph at lines 77944--77947
[]\T1/txtt/bx/n/10 periodicities \T1/qtm/m/n/10 (\T1/txtt/m/n/10 list \T1/qtm/m
/n/10 of [][]\T1/txtt/m/sl/10 Periodicity[][]\T1/qtm/m/n/10 , \T1/qtm/m/it/10 o
p-tional\T1/qtm/m/n/10 ) ^^U (New in ver-sion v2.9) a
[701] [702] [703] [704] [705]
Underfull \hbox (badness 10000) in paragraph at lines 78602--78605
[]\T1/qtm/m/n/10 This is the spec-i-fi-ca-tion that should be passed to [][]\T1
/txtt/m/sl/10 Project.analyze_and_model[][] \T1/qtm/m/n/10 via the

Underfull \hbox (badness 10000) in paragraph at lines 78602--78605
\T1/txtt/m/n/10 partitioning_method \T1/qtm/m/n/10 pa-ram-e-ter. To see the ful
l par-ti-tion-ing use [][]\T1/txtt/m/sl/10 DatetimePartitioning.
[706] [707]
Underfull \hbox (badness 5741) in paragraph at lines 78824--78832
\T1/qtm/m/n/10 and \T1/txtt/m/n/10 validation_duration\T1/qtm/m/n/10 ). If \T1/
txtt/m/n/10 True\T1/qtm/m/n/10 , will use a start/end date ap-proach for
[708] [709] [710] [711] [712]
Underfull \hbox (badness 6364) in paragraph at lines 79519--79521
\T1/txtt/bx/n/10 ValueError: \T1/qtm/m/n/10 ^^U If the generic Job was not a pr
e-dict job, e.g. job_type !=
[713] [714] [715] [716]
Underfull \hbox (badness 10000) in paragraph at lines 80113--80115
[]\T1/txtt/bx/n/10 supported_model_formats \T1/qtm/m/n/10 (\T1/txtt/m/n/10 list
[PredictionEnvironmentModelFormats]\T1/qtm/m/n/10 , \T1/qtm/m/it/10 op-
[717] [718] [719] [720]
Underfull \hbox (badness 10000) in paragraph at lines 80593--80596
[]\T1/qtm/m/n/10 Com-pute a Pre-dic-tion-Ex-pla-na-tion-sIni-tial-iza-tion for 
the model via \T1/txtt/m/n/10 datarobot.

Underfull \hbox (badness 10000) in paragraph at lines 80598--80601
[]\T1/qtm/m/n/10 Com-pute pre-dic-tions for the model and dataset via \T1/txtt/
m/n/10 datarobot.Model.
[721]
Underfull \hbox (badness 6708) in paragraph at lines 80671--80677
\T1/qtm/m/n/10 Cre-ate pre-dic-tion ex-pla-na-tions for the the dataset used to
 train the model. This can be

Underfull \hbox (badness 6927) in paragraph at lines 80671--80677
\T1/qtm/m/n/10 re-trieved by call-ing \T1/txtt/m/n/10 dr.Model.get().featurelis
t_id\T1/qtm/m/n/10 . For OTV and time-series projects,

Underfull \hbox (badness 10000) in paragraph at lines 80687--80690
[]\T1/qtm/m/n/10 Com-pute a Pre-dic-tion-Ex-pla-na-tion-sIni-tial-iza-tion for 
the model via \T1/txtt/m/n/10 datarobot.

Underfull \hbox (badness 10000) in paragraph at lines 80692--80695
[]\T1/qtm/m/n/10 Com-pute pre-dic-tions for the model and dataset via \T1/txtt/
m/n/10 datarobot.Model.
[722] [723] [724] [725] [726] [727] [728] [729] [730] [731] [732] [733]
Underfull \hbox (badness 10000) in paragraph at lines 82260--82262
[]\T1/txtt/bx/n/10 catalog_version_id \T1/qtm/m/n/10 (\T1/txtt/m/n/10 str\T1/qt
m/m/n/10 ) ^^U (New in ver-sion v3.0) The ob-ject ID of the
[734] [735] [736] [737] [738] [739]
Underfull \hbox (badness 10000) in paragraph at lines 82929--82935
\T1/qtm/m/n/10 the [][]\T1/qtm/m/it/10 Par-ti-tion Classes[][] \T1/qtm/m/n/10 d
e-fined in \T1/txtt/m/n/10 datarobot.helpers.partitioning_methods\T1/qtm/m/n/10
 .

Underfull \hbox (badness 10000) in paragraph at lines 82929--82935
\T1/qtm/m/n/10 As an al-ter-na-tive, use [][]\T1/txtt/m/sl/10 Project.set_parti
tioning_method[][] \T1/qtm/m/n/10 or [][]\T1/txtt/m/sl/10 Project.
[740]
Underfull \hbox (badness 10000) in paragraph at lines 83013--83020
[]\T1/txtt/bx/n/10 bias_mitigation_technique \T1/qtm/m/n/10 (\T1/txtt/m/n/10 Op
tional[str]\T1/qtm/m/n/10 ) ^^U One of

Underfull \hbox (badness 10000) in paragraph at lines 83013--83020
\T1/qtm/m/n/10 datarobot.enums.BiasMitigationTechnique Op-tions: - `pre-pro-ces
s-in-gReweigh-ing' -

Underfull \hbox (badness 7944) in paragraph at lines 83013--83020
\T1/qtm/m/n/10 `post-Pro-cess-in-gRe-jec-tionOp-tion-Based-Clas-si-fi-ca-tion' 
The tech-nique by which we'll

Underfull \hbox (badness 10000) in paragraph at lines 83022--83026
[]\T1/txtt/bx/n/10 include_bias_mitigation_feature_as_predictor_variable

Overfull \vbox (15.79999pt too high) detected at line 83079
[741] [742]
Underfull \hbox (badness 10000) in paragraph at lines 83303--83309
\T1/qtm/m/n/10 the [][]\T1/qtm/m/it/10 Par-ti-tion Classes[][] \T1/qtm/m/n/10 d
e-fined in \T1/txtt/m/n/10 datarobot.helpers.partitioning_methods\T1/qtm/m/n/10
 .

Underfull \hbox (badness 10000) in paragraph at lines 83303--83309
\T1/qtm/m/n/10 As an al-ter-na-tive, use [][]\T1/txtt/m/sl/10 Project.set_parti
tioning_method[][] \T1/qtm/m/n/10 or [][]\T1/txtt/m/sl/10 Project.
[743] [744]
Underfull \hbox (badness 10000) in paragraph at lines 83505--83511
\T1/qtm/m/n/10 the [][]\T1/qtm/m/it/10 Par-ti-tion Classes[][] \T1/qtm/m/n/10 d
e-fined in \T1/txtt/m/n/10 datarobot.helpers.partitioning_methods\T1/qtm/m/n/10
 .

Underfull \hbox (badness 10000) in paragraph at lines 83505--83511
\T1/qtm/m/n/10 As an al-ter-na-tive, use [][]\T1/txtt/m/sl/10 Project.set_parti
tioning_method[][] \T1/qtm/m/n/10 or [][]\T1/txtt/m/sl/10 Project.
[745]
Underfull \hbox (badness 10000) in paragraph at lines 83551--83553
[]\T1/txtt/bx/n/10 class_mapping_aggregation_settings \T1/qtm/m/n/10 (\T1/txtt/
m/n/10 ClassMappingAggregationSettings\T1/qtm/m/n/10 ,
[746] [747]
Underfull \hbox (badness 10000) in paragraph at lines 83795--83803
\T1/qtm/m/n/10 level: \T1/qtm/m/it/10 mono-tonic_increasing_featurelist_id\T1/q
tm/m/n/10 , \T1/qtm/m/it/10 mono-tonic_decreasing_featurelist_id\T1/qtm/m/n/10 
,

Underfull \hbox (badness 10000) in paragraph at lines 83795--83803
\T1/qtm/m/it/10 sup-ports_composable_ml \T1/qtm/m/n/10 and \T1/qtm/m/it/10 sup-
ports_monotonic_constraints\T1/qtm/m/n/10 . Fol-low-ing at-

Underfull \hbox (badness 10000) in paragraph at lines 83795--83803
\T1/qtm/m/n/10 tributes are ab-sent and could be re-trieved from the in-di-vid-
ual model level:

Underfull \hbox (badness 10000) in paragraph at lines 83795--83803
\T1/qtm/m/it/10 has_empty_clusters\T1/qtm/m/n/10 , \T1/qtm/m/it/10 is_n_cluster
s_dynamically_determined\T1/qtm/m/n/10 , \T1/qtm/m/it/10 pre-dic-tion_threshold

[748]
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[749] [750]
Underfull \hbox (badness 10000) in paragraph at lines 84153--84155
[]\T1/txtt/bx/n/10 credentials \T1/qtm/m/n/10 (\T1/txtt/m/n/10 Optional[List] a
 list \T1/qtm/m/n/10 of \T1/txtt/m/n/10 credentials for the datasets
[751]
Underfull \hbox (badness 7649) in paragraph at lines 84192--84195
[]\T1/txtt/bx/n/10 ValueError \T1/qtm/m/n/10 ^^U Raised if \T1/txtt/m/n/10 fore
cast_point \T1/qtm/m/n/10 or \T1/txtt/m/n/10 predictions_start_date \T1/qtm/m/n
/10 and

Underfull \hbox (badness 10000) in paragraph at lines 84247--84249
[]\T1/txtt/bx/n/10 credentials \T1/qtm/m/n/10 (\T1/txtt/m/n/10 Optional[List] a
 list \T1/qtm/m/n/10 of \T1/txtt/m/n/10 credentials for the datasets
[752]
Underfull \hbox (badness 10000) in paragraph at lines 84312--84318
[]\T1/txtt/bx/n/10 credential_data \T1/qtm/m/n/10 (\T1/txtt/m/n/10 BasicCredent
ialsDataDict | S3CredentialsDataDict |
[753] [754]
Overfull \hbox (0.89392pt too wide) in paragraph at lines 84578--84582
[]\T1/txtt/bx/n/10 credentials \T1/qtm/m/n/10 (\T1/txtt/m/n/10 list[BasicCreden
tialsDict | CredentialIdCredentialsDict]\T1/qtm/m/n/10 ,
[755] [756] [757] [758] [759] [760] [761] [762] [763]
Underfull \hbox (badness 10000) in paragraph at lines 85667--85676
[]\T1/txtt/bx/n/10 scoring_type \T1/qtm/m/n/10 (\T1/txtt/m/n/10 Optional[str]\T
1/qtm/m/n/10 ) ^^U Ei-ther \T1/txtt/m/n/10 validation \T1/qtm/m/n/10 or \T1/txt
t/m/n/10 crossValidation
[764]
Underfull \hbox (badness 10000) in paragraph at lines 85766--85771
[]\T1/qtm/m/n/10 All du-ra-tions should be spec-i-fied with a du-ra-tion string
 such as those re-turned by the

Underfull \hbox (badness 8075) in paragraph at lines 85766--85771
[][]\T1/txtt/m/sl/10 partitioning_methods.construct_duration_string[][] \T1/qtm
/m/n/10 helper method. Please see [][]\T1/qtm/m/it/10 date-time

Underfull \hbox (badness 7133) in paragraph at lines 85783--85786
\T1/qtm/m/n/10 be used to train the model. If spec-i-fied, nei-ther \T1/txtt/m/
n/10 training_duration \T1/qtm/m/n/10 nor
[765] [766]
Underfull \hbox (badness 10000) in paragraph at lines 85985--85990
\T1/txtt/bx/n/10 status \T1/qtm/m/n/10 (\T1/txtt/m/n/10 QUEUE_STATUS enum\T1/qt
m/m/n/10 , \T1/qtm/m/it/10 op-tional\T1/qtm/m/n/10 ) ^^U If called with
[767]
Underfull \hbox (badness 10000) in paragraph at lines 86163--86168
\T1/txtt/bx/n/10 status \T1/qtm/m/n/10 (\T1/txtt/m/n/10 QUEUE_STATUS enum\T1/qt
m/m/n/10 , \T1/qtm/m/it/10 op-tional\T1/qtm/m/n/10 ) ^^U If called with

Underfull \hbox (badness 5345) in paragraph at lines 86163--86168
\T1/qtm/m/n/10 QUEUE_STATUS.INPROGRESS, will re-turn the mod-el-ing jobs that a
re cur-rently
[768]
Underfull \hbox (badness 10000) in paragraph at lines 86208--86213
\T1/txtt/bx/n/10 status \T1/qtm/m/n/10 (\T1/txtt/m/n/10 QUEUE_STATUS enum\T1/qt
m/m/n/10 , \T1/qtm/m/it/10 op-tional\T1/qtm/m/n/10 ) ^^U If called with
[769] [770] [771]
Underfull \hbox (badness 10000) in paragraph at lines 86601--86607
[]\T1/txtt/bx/n/10 fairness_metrics_set \T1/qtm/m/n/10 (\T1/txtt/m/n/10 Optiona
l[str].\T1/qtm/m/n/10 ) ^^U (New in ver-sion v2.24) Met-

Underfull \hbox (badness 10000) in paragraph at lines 86601--86607
\T1/qtm/m/n/10 ric to use for cal-cu-lat-ing fair-ness. Can be one of \T1/txtt/
m/n/10 proportionalParity\T1/qtm/m/n/10 ,
[772]
Underfull \hbox (badness 10000) in paragraph at lines 86620--86627
[]\T1/txtt/bx/n/10 bias_mitigation_technique \T1/qtm/m/n/10 (\T1/txtt/m/n/10 Op
tional[str]\T1/qtm/m/n/10 ) ^^U One of

Underfull \hbox (badness 10000) in paragraph at lines 86620--86627
\T1/qtm/m/n/10 datarobot.enums.BiasMitigationTechnique Op-tions: - `pre-pro-ces
s-in-gReweigh-ing' -

Underfull \hbox (badness 7944) in paragraph at lines 86620--86627
\T1/qtm/m/n/10 `post-Pro-cess-in-gRe-jec-tionOp-tion-Based-Clas-si-fi-ca-tion' 
The tech-nique by which we'll

Underfull \hbox (badness 10000) in paragraph at lines 86629--86633
[]\T1/txtt/bx/n/10 include_bias_mitigation_feature_as_predictor_variable

Overfull \hbox (3.89389pt too wide) in paragraph at lines 86664--86668
[]\T1/txtt/bx/n/10 number_of_incremental_learning_iterations_before_best_model_
selection
[773]
Underfull \hbox (badness 10000) in paragraph at lines 86785--86788
[]\T1/txtt/bx/n/10 partitioning_method \T1/qtm/m/n/10 (\T1/txtt/m/n/10 Partitio
ningMethod\T1/qtm/m/n/10 , \T1/qtm/m/it/10 op-tional\T1/qtm/m/n/10 ) ^^U An in-
stance of

Underfull \hbox (badness 10000) in paragraph at lines 86785--86788
\T1/txtt/m/n/10 datarobot.helpers.partitioning_methods.PartitioningMethod \T1/q
tm/m/n/10 that will
[774] [775] [776]
Underfull \hbox (badness 10000) in paragraph at lines 87076--87078
[]\T1/txtt/bx/n/10 ValueError \T1/qtm/m/n/10 ^^U If value of \T1/txtt/m/n/10 va
riable_type \T1/qtm/m/n/10 is not from \T1/txtt/m/n/10 datarobot.enums.
[777] [778] [779]
Underfull \hbox (badness 10000) in paragraph at lines 87590--87597
[]\T1/txtt/bx/n/10 bias_mitigation_technique \T1/qtm/m/n/10 (\T1/txtt/m/n/10 Op
tional[str]\T1/qtm/m/n/10 ) ^^U One of

Underfull \hbox (badness 10000) in paragraph at lines 87590--87597
\T1/qtm/m/n/10 datarobot.enums.BiasMitigationTechnique Op-tions: - `pre-pro-ces
s-in-gReweigh-ing' -

Underfull \hbox (badness 7944) in paragraph at lines 87590--87597
\T1/qtm/m/n/10 `post-Pro-cess-in-gRe-jec-tionOp-tion-Based-Clas-si-fi-ca-tion' 
The tech-nique by which we'll
[780] [781]
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[]\T1/qtm/m/n/10 This is an al-ter-na-tive to pass-ing a spec-i-fi-ca-tion to [
][]\T1/txtt/m/sl/10 Project.analyze_and_model[][] \T1/qtm/m/n/10 via the

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\T1/txtt/bx/n/10 datetime_partition_spec \T1/qtm/m/n/10 ([][]\T1/txtt/m/sl/10 D
atetimePartitioningSpecification[][]\T1/qtm/m/n/10 ) ^^U
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\T1/qtm/m/n/10 tion win-dows set-tings. If present, time-aware joins will be us
ed. Only al-
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[]\T1/txtt/bx/n/10 prediction_point_rounding \T1/qtm/m/n/10 (\T1/txtt/m/n/10 Op
tional[int]\T1/qtm/m/n/10 ) ^^U Clos-est value of pre-dic-

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\T1/qtm/m/n/10 Time unit of the fea-ture deriva-tion win-dow. One of \T1/txtt/m
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[]\T1/txtt/bx/n/10 prediction_point_rounding \T1/qtm/m/n/10 (\T1/txtt/m/n/10 in
t\T1/qtm/m/n/10 , or \T1/txtt/m/n/10 None\T1/qtm/m/n/10 ) ^^U Clos-est value of
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of possible settings, create a

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[]\T1/txtt/bx/n/10 dataset_definitions \T1/qtm/m/n/10 (\T1/txtt/m/n/10 list \T1
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ment is a

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helpers.feature_discovery.
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[]\T1/txtt/bx/n/10 dataset_definitions \T1/qtm/m/n/10 (\T1/txtt/m/n/10 List[Dat
asetDefinition]\T1/qtm/m/n/10 ) ^^U Each el-e-ment is a

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[]\T1/txtt/bx/n/10 shap_warnings \T1/qtm/m/n/10 ([][]\T1/txtt/m/sl/10 list[][]\
T1/qtm/m/n/10 ) ^^U (New in ver-sion v2.21) Will

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[]\T1/txtt/bx/n/10 hex_column_name_lookup \T1/qtm/m/n/10 (\T1/txtt/m/n/10 list[
UserBlueprintsHexColumnNameLookupEntry]\T1/qtm/m/n/10 ,
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[]\T1/txtt/bx/n/10 supported_target_types \T1/qtm/m/n/10 (\T1/txtt/m/n/10 list[
enum(\TS1/txtt/m/n/10 ``\T1/qtm/m/n/10 'binary'\T1/txtt/m/n/10 , \TS1/txtt/m/n/
10 ``'\T1/txtt/m/n/10 multiclass\TS1/txtt/m/n/10 '\T1/qtm/m/n/10 ,
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[]\T1/txtt/bx/n/10 task_parameters \T1/qtm/m/n/10 (\T1/txtt/m/n/10 list(UserBlu
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[]\T1/txtt/bx/n/10 share_recipient_type \T1/qtm/m/n/10 (\T1/txtt/m/n/10 enum(\T
S1/txtt/m/n/10 ``\T1/qtm/m/n/10 'user'\T1/txtt/m/n/10 , \TS1/txtt/m/n/10 ``'\T1
/txtt/m/n/10 group\TS1/txtt/m/n/10 '\T1/qtm/m/n/10 , \TS1/txtt/m/n/10 '\T1/txtt
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[]\T1/txtt/bx/n/10 roles \T1/qtm/m/n/10 (\T1/txtt/m/n/10 list(or(GrantAccessCon
trolWithUsernameValidator\T1/qtm/m/n/10 ,

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[]\T1/txtt/bx/n/10 limit \T1/qtm/m/n/10 (\T1/txtt/m/n/10 int\T1/qtm/m/n/10 , \T
1/txtt/m/n/10 Optional. (default\T1/qtm/m/n/10 : \T1/txtt/m/n/10 0)\T1/qtm/m/n/
10 , \T1/txtt/m/n/10 at most this many results are
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[]\T1/txtt/bx/n/10 added_to_menu \T1/qtm/m/n/10 (\T1/txtt/m/n/10 list(UserBluep
rintAddedToMenuItem)\T1/qtm/m/n/10 ) ^^U The list of
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[]\T1/txtt/bx/n/10 task_parameters \T1/qtm/m/n/10 (\T1/txtt/m/n/10 list(UserBlu
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[]\T1/txtt/bx/n/10 description \T1/qtm/m/n/10 (\T1/txtt/m/n/10 Optional[str] (D
efault=None)\T1/qtm/m/n/10 ) ^^U The de-scrip-tion of the user
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[]\T1/txtt/bx/n/10 limit \T1/qtm/m/n/10 (\T1/txtt/m/n/10 int\T1/qtm/m/n/10 , \T
1/txtt/m/n/10 Optional. (default\T1/qtm/m/n/10 : \T1/txtt/m/n/10 0)\T1/qtm/m/n/
10 , \T1/txtt/m/n/10 at most this many results are
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[]\T1/txtt/bx/n/10 datasource_info \T1/qtm/m/n/10 (\T1/txtt/m/n/10 Union[Dataso
urceDataWarehouseInfo\T1/qtm/m/n/10 ,
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[]\T1/qtm/m/n/10 Added new at-tributes \T1/txtt/m/n/10 prediction_point\T1/qtm/
m/n/10 , \T1/txtt/m/n/10 relationships_configuration_id \T1/qtm/m/n/10 and
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[]\T1/qtm/m/n/10 Add new at-tributes to [][]\T1/txtt/m/sl/10 VectorDatabase[][]
\T1/qtm/m/n/10 : \T1/txtt/m/n/10 parent_id\T1/qtm/m/n/10 , \T1/txtt/m/n/10 fami
ly_id\T1/qtm/m/n/10 , \T1/txtt/m/n/10 metadata_columns\T1/qtm/m/n/10 ,

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\T1/txtt/m/n/10 added_dataset_ids\T1/qtm/m/n/10 , \T1/txtt/m/n/10 added_dataset
_names\T1/qtm/m/n/10 , and\TS1/qtm/m/n/10 `\T1/qtm/m/n/10 version\TS1/qtm/m/n/1
0 `\T1/qtm/m/n/10 . [][]\T1/txtt/m/sl/10 VectorDatabase.

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\T1/txtt/m/sl/10 get_supported_retrieval_settings[][] \T1/qtm/m/n/10 to re-trie
ve sup-ported re-trieval set-tings. [][]\T1/txtt/m/sl/10 VectorDatabase.
[904]
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[]\T1/qtm/m/n/10 Up-dated the schema for [][]\T1/txtt/m/sl/10 EvaluationDataset
MetricAggregation[][] \T1/qtm/m/n/10 to in-clude the new at-tributes

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[]\T1/qtm/m/n/10 Fixed field in [][]\T1/txtt/m/sl/10 CustomTaskVersion[][] \T1/
qtm/m/n/10 for con-trol-ling net-work poli-cies. This is changed from
[905]
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[]\T1/qtm/m/n/10 Dep-re-cated [][]\T1/txtt/m/sl/10 Model.request_fairness_insig
hts[][]\T1/qtm/m/n/10 . Please use [][]\T1/txtt/m/sl/10 Model.

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[]\T1/qtm/m/n/10 Re-named \T1/txtt/m/n/10 datarobot.enums.CustomTaskOutgoingNet
workPolicy \T1/qtm/m/n/10 to [][]\T1/txtt/m/sl/10 datarobot.enums.

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[]\T1/qtm/m/n/10 Up-dated the de-scrip-tion for the pa-ram-e-ter: `num-ber_of_i
ncremental_learning_iterations_before_best_model_selection'
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\T1/qtm/m/n/10 -[][]\T1/txtt/m/sl/10 DatasetInfo[][] \T1/qtm/m/n/10 -[][]\T1/tx
tt/m/sl/10 DynamicDatasetProps[][] \T1/qtm/m/n/10 -[][]\T1/txtt/m/sl/10 RowsChu
nkDefinition[][] \T1/qtm/m/n/10 -[][]\T1/txtt/m/sl/10 FeaturesChunkDefinition[]
[] \T1/qtm/m/n/10 -

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[]\T1/qtm/m/n/10 Added new method \T1/txtt/m/n/10 update \T1/qtm/m/n/10 to {cla
ss}\TS1/qtm/m/n/10 `\T1/qtm/m/n/10 ChunkDefinition <datarobot._experimental.mod
els.chunking_service_v2.ChunkDefinition> 

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[]\T1/txtt/m/n/10 datarobot._experimental.models.time_series_wrangling_template
.user_flow_template

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[]\T1/qtm/m/n/10 Added a new class [][]\T1/txtt/m/sl/10 HostedCustomMetricTempl
ate[][] \T1/qtm/m/n/10 for hosted cus-tom met-rics tem-

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\T1/qtm/m/n/10 plates. [][]\T1/txtt/m/sl/10 HostedCustomMetricTemplate.get[][] 
\T1/qtm/m/n/10 to re-trieve a hosted cus-tom met-ric tem-plate.

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[][]\T1/txtt/m/sl/10 HostedCustomMetricBlueprint.get[][] \T1/qtm/m/n/10 to get 
a hosted cus-tom met-ric blueprint.

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[][]\T1/txtt/m/sl/10 HostedCustomMetricBlueprint.create[][] \T1/qtm/m/n/10 to c
re-ate a hosted cus-tom met-ric blueprint.

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[]\T1/qtm/m/n/10 Added a new class \T1/txtt/m/n/10 EvaluationDatasetConfigurati
on <datarobot._experimental.models.

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\T1/txtt/m/n/10 genai.evaluation_dataset_configuration.EvaluationDatasetConfigu
ration> \T1/qtm/m/n/10 for con-fig-u-ra-

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\T1/txtt/m/n/10 models.genai.evaluation_dataset_configuration.EvaluationDataset
Configuration.

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\T1/txtt/m/n/10 get> \T1/qtm/m/n/10 to get an eval-u-a-tion dataset con-fig-u-r
a-tion. \T1/txtt/m/n/10 EvaluationDatasetConfiguration.

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\T1/txtt/m/n/10 list <datarobot._experimental.models.genai.evaluation_dataset_c
onfiguration.

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\T1/txtt/m/n/10 EvaluationDatasetConfiguration.list> \T1/qtm/m/n/10 to list the
 eval-u-a-tion dataset con-fig-u-ra-tions for

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\T1/qtm/m/n/10 a Use Case. \T1/txtt/m/n/10 EvaluationDatasetConfiguration.creat
e <datarobot._experimental.

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\T1/txtt/m/n/10 models.genai.evaluation_dataset_configuration.EvaluationDataset
Configuration.

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\T1/txtt/m/n/10 create> \T1/qtm/m/n/10 to cre-ate an eval-u-a-tion dataset con-
fig-u-ra-tion. \T1/txtt/m/n/10 EvaluationDatasetConfiguration.

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\T1/txtt/m/n/10 update <datarobot._experimental.models.genai.evaluation_dataset
_configuration.

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\T1/txtt/m/n/10 EvaluationDatasetConfiguration.update> \T1/qtm/m/n/10 to up-dat
e an eval-u-a-tion dataset con-fig-u-ra-tion.

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\T1/txtt/m/n/10 EvaluationDatasetConfiguration.delete <datarobot._experimental.
models.genai.

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\T1/txtt/m/n/10 evaluation_dataset_configuration.EvaluationDatasetConfiguration
.delete> \T1/qtm/m/n/10 to delete an
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\T1/txtt/m/n/10 genai.evaluation_dataset_metric_aggregation.EvaluationDatasetMe
tricAggregation>

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\T1/qtm/m/n/10 for met-ric ag-gre-ga-tion re-sults. \T1/txtt/m/n/10 EvaluationD
atasetMetricAggregation.list

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\T1/txtt/m/n/10 <datarobot._experimental.models.genai.evaluation_dataset_metric
_aggregation.

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\T1/txtt/m/n/10 EvaluationDatasetMetricAggregation.list> \T1/qtm/m/n/10 to get 
the met-ric ag-gre-ga-tion re-sults.

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\T1/txtt/m/n/10 EvaluationDatasetMetricAggregation.create <datarobot._experimen
tal.models.

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\T1/txtt/m/n/10 genai.evaluation_dataset_metric_aggregation.EvaluationDatasetMe
tricAggregation.

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\T1/txtt/m/n/10 create> \T1/qtm/m/n/10 to cre-ate the met-ric ag-gre-ga-tion jo
b. \T1/txtt/m/n/10 EvaluationDatasetMetricAggregation.delete

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\T1/txtt/m/n/10 <datarobot._experimental.models.genai.evaluation_dataset_metric
_aggregation.

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[]\T1/qtm/m/n/10 Added a new class \T1/txtt/m/n/10 SyntheticEvaluationDataset <
datarobot._experimental.models.genai.

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[]\T1/qtm/m/n/10 Added a new class \T1/txtt/m/n/10 SidecarModelMetricValidation
 <datarobot._experimental.models.

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\T1/txtt/m/n/10 genai.sidecar_model_metric.SidecarModelMetricValidation> \T1/qt
m/m/n/10 for side-car model met-ric val-i-

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\T1/qtm/m/n/10 da-tions. \T1/txtt/m/n/10 SidecarModelMetricValidation.create <d
atarobot._experimental.models.genai.

Underfull \hbox (badness 10000) in paragraph at lines 106377--106385
\T1/txtt/m/n/10 sidecar_model_metric.SidecarModelMetricValidation.create> \T1/q
tm/m/n/10 to cre-ate a side-car model

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\T1/qtm/m/n/10 met-ric val-i-da-tion. \T1/txtt/m/n/10 SidecarModelMetricValidat
ion.list <datarobot._experimental.models.

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\T1/qtm/m/n/10 val-i-da-tions. \T1/txtt/m/n/10 SidecarModelMetricValidation.get
 <datarobot._experimental.models.genai.

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\T1/qtm/m/n/10 tion. \T1/txtt/m/n/10 SidecarModelMetricValidation.revalidate <d
atarobot._experimental.models.genai.
[908]
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[]\T1/qtm/m/n/10 Im-ple-mented sup-port for \T1/txtt/m/n/10 dr[]connector[]v1 \
T1/qtm/m/n/10 to \T1/txtt/m/n/10 DataStore <datarobot.models.DataStore> \T1/qtm
/m/n/10 and

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[]\T1/qtm/m/n/10 Added a new pa-ram-e-ter \T1/txtt/m/n/10 entity_type \T1/qtm/m
/n/10 to the \T1/txtt/m/n/10 compute \T1/qtm/m/n/10 and \T1/txtt/m/n/10 create 
\T1/qtm/m/n/10 meth-ods of the classes
[909]
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[]\T1/qtm/m/n/10 Ex-tended the ad-vanced op-tions avail-able when set-ting a ta
r-get to in-clude new pa-ram-e-ter:
[910]
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[][][]\T1/txtt/m/sl/10 RuntimeParameterValue[][] \T1/qtm/m/n/10 to de-fine run-
time pa-ram-e-ter over-ride value, to be as-signed to

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[]\T1/qtm/m/n/10 Added new pa-ram-e-ter \T1/txtt/m/n/10 prediction_threshold \T
1/qtm/m/n/10 to [][]\T1/txtt/m/sl/10 BatchPredictionJob.

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\T1/txtt/m/sl/10 score_with_leaderboard_model[][] \T1/qtm/m/n/10 and [][]\T1/tx
tt/m/sl/10 BatchPredictionJob.score[][] \T1/qtm/m/n/10 that au-to-mat-i-cally a
s-signs the
[911]
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[]\T1/qtm/m/n/10 Added new enum value to \T1/txtt/m/n/10 datarobot.enums.TARGET
_TYPE \T1/qtm/m/n/10 and \T1/txtt/m/n/10 datarobot.enums.
[912]
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[]\T1/qtm/m/n/10 Added a new pa-ram-e-ter \T1/txtt/m/n/10 base_environment_vers
ion_id \T1/qtm/m/n/10 to [][]\T1/txtt/m/sl/10 CustomModelVersion.

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[]\T1/qtm/m/n/10 Added a new class \T1/txtt/m/n/10 PromptTrace <datarobot._expe
rimental.models.genai.prompt_trace.

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\T1/txtt/m/n/10 list <datarobot._experimental.models.genai.prompt_trace.PromptT
race.list> \T1/qtm/m/n/10 to list

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\T1/txtt/m/n/10 _experimental.models.genai.prompt_trace.PromptTrace.export_to_a
i_catalog> \T1/qtm/m/n/10 to ex-port

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[]\T1/qtm/m/n/10 Added a new class \T1/txtt/m/n/10 InsightsConfiguration <datar
obot._experimental.models.genai.

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\T1/txtt/m/n/10 models.genai.insights_configuration.Insights.get> \T1/qtm/m/n/1
0 to get the cur-rent in-sights con-fig-

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\T1/qtm/m/n/10 u-ra-tion for a play-ground. \T1/txtt/m/n/10 Insights.create <da
tarobot._experimental.models.genai.

Underfull \hbox (badness 10000) in paragraph at lines 106888--106894
\T1/txtt/m/n/10 models.genai.cost_metric_configurations.CostMetricConfiguration
.get> \T1/qtm/m/n/10 to get the cost

Underfull \hbox (badness 10000) in paragraph at lines 106888--106894
\T1/qtm/m/n/10 met-ric con-fig-u-ra-tion. \T1/txtt/m/n/10 CostMetricConfigurati
on.create <datarobot._experimental.models.

Underfull \hbox (badness 10000) in paragraph at lines 106888--106894
\T1/qtm/m/n/10 con-fig-u-ra-tion. \T1/txtt/m/n/10 CostMetricConfiguration.updat
e <datarobot._experimental.models.genai.

Underfull \hbox (badness 10000) in paragraph at lines 106888--106894
\T1/txtt/m/n/10 cost_metric_configurations.CostMetricConfiguration.update> \T1/
qtm/m/n/10 to up-date the cost met-ric

Underfull \hbox (badness 10000) in paragraph at lines 106888--106894
\T1/qtm/m/n/10 con-fig-u-ra-tion. \T1/txtt/m/n/10 CostMetricConfiguration.delet
e <datarobot._experimental.models.genai.
[913]
Underfull \hbox (badness 10000) in paragraph at lines 106896--106898
[]\T1/qtm/m/n/10 Added a new class \T1/txtt/m/n/10 LLMCostConfiguration <dataro
bot._experimental.models.genai.
[914]
Underfull \hbox (badness 10000) in paragraph at lines 107054--107056
[]\T1/qtm/m/n/10 Added \T1/txtt/m/n/10 custom_model_embedding_validations \T1/q
tm/m/n/10 to \T1/txtt/m/n/10 SupportedEmbeddings <datarobot.

Underfull \hbox (badness 10000) in paragraph at lines 107058--107060
[]\T1/qtm/m/n/10 Added \T1/txtt/m/n/10 embedding_validation_id \T1/qtm/m/n/10 a
nd \T1/txtt/m/n/10 is_separator_regex \T1/qtm/m/n/10 to \T1/txtt/m/n/10 VectorD
atabase <datarobot.

Underfull \hbox (badness 10000) in paragraph at lines 107092--107094
[]\T1/qtm/m/n/10 Added op-tional pa-ram-e-ter, \T1/txtt/m/n/10 feedback_result\
T1/qtm/m/n/10 , to \T1/txtt/m/n/10 ComparisonPrompt.update <datarobot.

Underfull \hbox (badness 10000) in paragraph at lines 107092--107094
\T1/txtt/m/n/10 _experimental.models.genai.comparison_prompt.ComparisonPrompt.u
pdate>\T1/qtm/m/n/10 , to up-date a
[915]
Underfull \hbox (badness 10000) in paragraph at lines 107160--107162
[]\T1/qtm/m/n/10 Added new meth-ods to the class [][]\T1/txtt/m/sl/10 Notebook[
][] \T1/qtm/m/n/10 which in-cludes [][]\T1/txtt/m/sl/10 Notebook.run[][] \T1/qt
m/m/n/10 and [][]\T1/txtt/m/sl/10 Notebook.
[916]
Underfull \hbox (badness 10000) in paragraph at lines 107247--107253
\T1/txtt/m/sl/10 create_for_external[][] \T1/qtm/m/n/10 to cre-ate a new reg-is
-tered model ver-sion from an ex-ter-nal model.

Underfull \hbox (badness 10000) in paragraph at lines 107247--107253
[][]\T1/txtt/m/sl/10 RegisteredModelVersion.list_associated_deployments[][] \T1
/qtm/m/n/10 to list de-ploy-ments as-so-ci-ated with

Underfull \hbox (badness 7362) in paragraph at lines 107247--107253
\T1/qtm/m/n/10 a reg-is-tered model ver-sion. [][]\T1/txtt/m/sl/10 RegisteredMo
delVersion.create_for_leaderboard_item[][] \T1/qtm/m/n/10 to cre-

Underfull \hbox (badness 10000) in paragraph at lines 107247--107253
\T1/qtm/m/n/10 ate a new reg-is-tered model ver-sion from a Leader-board model.
 [][]\T1/txtt/m/sl/10 RegisteredModelVersion.

Underfull \hbox (badness 10000) in paragraph at lines 107290--107292
[]\T1/qtm/m/n/10 Added method meth:\T1/txtt/m/n/10 Deployment.get_predictions_v
s_actuals_over_time <datarobot.models.
[917]
Underfull \hbox (badness 10000) in paragraph at lines 107325--107327
\T1/qtm/m/n/10 All in-ter-ac-tions with \T1/txtt/m/n/10 Project.advanced_option
s \T1/qtm/m/n/10 should be ex-pected to be through the
[918]
Underfull \hbox (badness 10000) in paragraph at lines 107430--107436
\T1/txtt/m/sl/10 run[][] [][]BatchMonitoringJob.get_status[][] [][]BatchMonitor
ingJob.cancel[][] [][]BatchMonitoringJob.

Underfull \hbox (badness 10000) in paragraph at lines 107496--107505
\T1/qtm/m/n/10 and run_once [][]\T1/txtt/m/sl/10 BatchMonitoringJobDefinition.l
ist[][] [][]BatchMonitoringJobDefinition.

Underfull \hbox (badness 10000) in paragraph at lines 107496--107505
\T1/txtt/m/sl/10 get[][] [][]BatchMonitoringJobDefinition.create[][] [][]BatchM
onitoringJobDefinition.update[][]

Underfull \hbox (badness 10000) in paragraph at lines 107496--107505
[][]\T1/txtt/m/sl/10 BatchMonitoringJobDefinition.delete[][] [][]BatchMonitorin
gJobDefinition.run_on_schedule[][]
[919]
Underfull \hbox (badness 10000) in paragraph at lines 107518--107531
\T1/txtt/m/sl/10 create_from_url[][] [][]Dataset.create_from_data_source[][] []
[]Dataset.create_from_query_generator[][]

Underfull \hbox (badness 10000) in paragraph at lines 107518--107531
[][]\T1/txtt/m/sl/10 Dataset.create_project[][] [][]Project.create[][] [][]Proj
ect.create_from_data_source[][] [][]Project.

Underfull \hbox (badness 10000) in paragraph at lines 107518--107531
\T1/txtt/m/sl/10 create_from_dataset[][] [][]Project.create_segmented_project_f
rom_clustering_model[][] [][]Project.

Underfull \hbox (badness 10000) in paragraph at lines 107559--107561
[]\T1/qtm/m/n/10 If the user con-fig-ures the client via \T1/txtt/m/n/10 Client
(...)\T1/qtm/m/n/10 , then in-voke \T1/txtt/m/n/10 Client(...,

Underfull \hbox (badness 10000) in paragraph at lines 107563--107565
[]\T1/qtm/m/n/10 If the user con-fig-ures the client via dr.config.yaml, then a
dd the prop-erty

Underfull \hbox (badness 10000) in paragraph at lines 107567--107569
[]\T1/qtm/m/n/10 If the user con-fig-ures the client via env vars, then set the
 env var

Underfull \hbox (badness 10000) in paragraph at lines 107576--107578
[]\T1/qtm/m/n/10 Added method meth:\T1/txtt/m/n/10 Deployment.get_predictions_o
ver_time <datarobot.models.Deployment.
[920]
Underfull \hbox (badness 10000) in paragraph at lines 107618--107633
\T1/txtt/m/sl/10 request_feature_effect[][] [][]Model.get_or_request_feature_ef
fect[][] [][]Model.get_lift_chart[][]

Underfull \hbox (badness 10000) in paragraph at lines 107618--107633
[][]\T1/txtt/m/sl/10 Model.get_all_lift_charts[][] [][]Model.get_residuals_char
t[][] [][]Model.get_all_residuals_charts[][]

Underfull \hbox (badness 10000) in paragraph at lines 107618--107633
[][]\T1/txtt/m/sl/10 Model.request_lift_chart[][] [][]Model.request_residuals_c
hart[][] [][]Model.get_roc_curve[][] [][]Model.

Underfull \hbox (badness 10000) in paragraph at lines 107663--107665
[]\T1/qtm/m/n/10 Added new method for re-triev-ing all avail-able fea-ture im-p
acts for the model [][]\T1/txtt/m/sl/10 Model.

Underfull \hbox (badness 10000) in paragraph at lines 107687--107689
\T1/txtt/m/sl/10 PredictionExplanations.get_all_as_dataframe()[][] \T1/qtm/m/n/
10 and [][]\T1/txtt/m/sl/10 datarobot.PredictionExplanations.
[921]
Underfull \hbox (badness 10000) in paragraph at lines 107815--107818
[]\T1/txtt/m/n/10 DatetimeModel.get_feature_fit_metadata \T1/qtm/m/n/10 has bee
n re-moved. Use [][]\T1/txtt/m/sl/10 DatetimeModel.

Underfull \hbox (badness 10000) in paragraph at lines 107825--107828
[]\T1/txtt/m/n/10 DatetimeModel.request_feature_fit \T1/qtm/m/n/10 has been re-
moved. Use [][]\T1/txtt/m/sl/10 DatetimeModel.

Underfull \hbox (badness 10000) in paragraph at lines 107840--107843
[]\T1/txtt/m/n/10 Model.get_or_request_feature_fit \T1/qtm/m/n/10 has been re-m
oved. Use [][]\T1/txtt/m/sl/10 Model.

Underfull \hbox (badness 10000) in paragraph at lines 107845--107848
[]\T1/txtt/m/n/10 DatetimeModel.get_or_request_feature_fit \T1/qtm/m/n/10 has b
een re-moved. Use [][]\T1/txtt/m/sl/10 DatetimeModel.

Underfull \hbox (badness 10000) in paragraph at lines 107855--107858
[]\T1/qtm/m/n/10 Dep-re-cated the fol-low-ing meth-ods for re-triev-ing [][]\T1
/txtt/m/sl/10 SharingAccess[][] \T1/qtm/m/n/10 in-for-ma-tion. - \T1/txtt/m/n/1
0 DataStore.
[922] [923]
Underfull \hbox (badness 10000) in paragraph at lines 107997--108001
[]\T1/qtm/m/n/10 Added new meth-ods [][]\T1/txtt/m/sl/10 BatchPredictionJob.app
ly_time_series_data_prep_and_score[][] \T1/qtm/m/n/10 and

Underfull \hbox (badness 7221) in paragraph at lines 107997--108001
[][]\T1/txtt/m/sl/10 BatchPredictionJob.apply_time_series_data_prep_and_score_t
o_file[][] \T1/qtm/m/n/10 that ap-ply time se-ries

Underfull \hbox (badness 10000) in paragraph at lines 108003--108008
[]\T1/qtm/m/n/10 Added new meth-ods [][]\T1/txtt/m/sl/10 DataEngineQueryGenerat
or.prepare_prediction_dataset[][] \T1/qtm/m/n/10 and

Underfull \hbox (badness 7308) in paragraph at lines 108003--108008
[][]\T1/txtt/m/sl/10 DataEngineQueryGenerator.prepare_prediction_dataset_from_c
atalog[][] \T1/qtm/m/n/10 that ap-ply time se-ries

Underfull \hbox (badness 10000) in paragraph at lines 108034--108038
[]\T1/qtm/m/n/10 Added two new meth-ods to the Im-ageAug-men-ta-tion-List class
: \T1/txtt/m/n/10 ImageAugmentationList.list\T1/qtm/m/n/10 ,
[924]
Underfull \hbox (badness 10000) in paragraph at lines 108105--108107
[]\T1/qtm/m/n/10 Up-date the doc-u-men-ta-tion to sug-gest that set-ting \T1/tx
tt/m/n/10 use_backtest_start_end_format \T1/qtm/m/n/10 of
[925] [926]
Underfull \hbox (badness 10000) in paragraph at lines 108374--108377
[]\T1/qtm/m/n/10 Added sup-port for cre-at-ing mono-tonic fea-ture lists for ti
me se-ries projects. Set

Underfull \hbox (badness 10000) in paragraph at lines 108379--108381
[]\T1/qtm/m/n/10 Added in-for-ma-tion about ver-tex to ad-vanced tun-ing pa-ram
-e-ters [][]\T1/txtt/m/sl/10 datarobot.models.Model.
[927]
Underfull \hbox (badness 10000) in paragraph at lines 108462--108464
[][][]\T1/txtt/m/sl/10 CustomModelVersion[][]\T1/qtm/m/n/10 's \T1/txtt/m/n/10 
required_metadata \T1/qtm/m/n/10 pa-ram-e-ter has been re-moved. Use

Underfull \hbox (badness 10000) in paragraph at lines 108466--108468
[][][]\T1/txtt/m/sl/10 CustomTaskVersion[][]\T1/qtm/m/n/10 's \T1/txtt/m/n/10 r
equired_metadata \T1/qtm/m/n/10 pa-ram-e-ter has been re-moved. Use

Underfull \hbox (badness 6364) in paragraph at lines 108498--108500
[]\T1/qtm/m/n/10 The [][]\T1/txtt/m/sl/10 Deployment[][] \T1/qtm/m/n/10 method 
\T1/txtt/m/n/10 create_from_custom_model_image \T1/qtm/m/n/10 was re-moved. Use
 [][]\T1/txtt/m/sl/10 Deployment.

Underfull \hbox (badness 10000) in paragraph at lines 108550--108555
[]\T1/qtm/m/n/10 Added ex-per-i-men-tal sup-port to re-trieve doc-u-ment text e
x-trac-tion sam-ples us-

Underfull \hbox (badness 10000) in paragraph at lines 108550--108555
\T1/qtm/m/n/10 ing: - [][]\T1/txtt/m/sl/10 DocumentTextExtractionSample[][] \T1
/qtm/m/n/10 - [][]\T1/txtt/m/sl/10 DocumentTextExtractionSamplePage[][] \T1/qtm
/m/n/10 -
[928]
Underfull \hbox (badness 10000) in paragraph at lines 108592--108599
[]\T1/qtm/m/n/10 Added sup-port to pass cal-cu-la-tion mode to pre-dic-tion ex-
pla-na-tions (\T1/txtt/m/n/10 mode \T1/qtm/m/n/10 pa-ram-e-ter in

Underfull \hbox (badness 10000) in paragraph at lines 108592--108599
[][]\T1/txtt/m/sl/10 PredictionExplanations.create[][]\T1/qtm/m/n/10 ) as well 
as batch scor-ing (\T1/txtt/m/n/10 explanations_mode \T1/qtm/m/n/10 in

Underfull \hbox (badness 10000) in paragraph at lines 108643--108656
\T1/qtm/m/n/10 - [][]\T1/txtt/m/sl/10 Project.apply_bias_mitigation[][] \T1/qtm
/m/n/10 - [][]\T1/txtt/m/sl/10 Project.request_bias_mitigation_feature_info[][]


Underfull \hbox (badness 10000) in paragraph at lines 108643--108656
\T1/qtm/m/n/10 - [][]\T1/txtt/m/sl/10 Project.get_bias_mitigation_feature_info[
][] \T1/qtm/m/n/10 and by adding new bias mit-

Underfull \hbox (badness 10000) in paragraph at lines 108643--108656
\T1/qtm/m/n/10 i-ga-tion params - bias_mitigation_feature_name - bias_mitigatio
n_technique - in-

Underfull \hbox (badness 10000) in paragraph at lines 108643--108656
\T1/qtm/m/n/10 clude_bias_mitigation_feature_as_predictor_variable to the ex-is
t-ing method - [][]\T1/txtt/m/sl/10 Project.start[][] \T1/qtm/m/n/10 and

Underfull \hbox (badness 7256) in paragraph at lines 108643--108656
\T1/qtm/m/n/10 by adding this enum to sup-ply params to some of the above func-
tion-al-ity \T1/txtt/m/n/10 datarobot.enums.
[929]
Underfull \hbox (badness 10000) in paragraph at lines 108769--108771
[]\T1/qtm/m/n/10 Up-date the doc-u-men-ta-tion to sug-gest that \T1/txtt/m/n/10
 feature_derivation_window_end \T1/qtm/m/n/10 of [][]\T1/txtt/m/sl/10 datarobot
.

Underfull \hbox (badness 10000) in paragraph at lines 108787--108790
[]\T1/qtm/m/n/10 Added the abil-ity to turn off su-per-vised fea-ture re-duc-ti
on for Time Se-ries projects. Op-tion
[930] [931]
Underfull \hbox (badness 10000) in paragraph at lines 109013--109015
[]\T1/txtt/m/n/10 DatetimeModel.get_feature_fit <datarobot.models.DatetimeModel
.

Underfull \hbox (badness 10000) in paragraph at lines 109039--109042
[]\T1/qtm/m/n/10 Dep-re-cat-ing sca-le-out pa-ram-e-ters for projects / mod-els
. In-cludes \T1/txtt/m/n/10 scaleout_modeling_mode\T1/qtm/m/n/10 ,
[932]
Underfull \hbox (badness 6268) in paragraph at lines 109140--109143
[]\T1/qtm/m/n/10 Added the abil-ity to up-load a pre-dic-tion dataset into a pr
oject from the AI cat-a-log [][]\T1/txtt/m/sl/10 Project.

Underfull \hbox (badness 10000) in paragraph at lines 109175--109179
[]\T1/qtm/m/n/10 Added the abil-ity to con-trol class map-ping ag-gre-ga-tion i
n mul-ti-class projects via

Underfull \hbox (badness 10000) in paragraph at lines 109185--109193
[]\T1/qtm/m/n/10 Added the abil-ity to com-pute and re-trieve Fea-ture Ef-fects
 for a Mul-ti-class model us-

Underfull \hbox (badness 10000) in paragraph at lines 109185--109193
\T1/qtm/m/n/10 ing [][]\T1/txtt/m/sl/10 datarobot.models.Model.request_feature_
effects_multiclass()[][]\T1/qtm/m/n/10 , [][]\T1/txtt/m/sl/10 datarobot.

Underfull \hbox (badness 10000) in paragraph at lines 109185--109193
\T1/txtt/m/sl/10 models.Model.get_feature_effects_multiclass()[][] \T1/qtm/m/n/
10 or [][]\T1/txtt/m/sl/10 datarobot.models.Model.

Underfull \hbox (badness 10000) in paragraph at lines 109185--109193
\T1/txtt/m/sl/10 get_or_request_feature_effects_multiclass()[][] \T1/qtm/m/n/10
 meth-ods. For date-time mod-els use fol-low-

Underfull \hbox (badness 10000) in paragraph at lines 109185--109193
\T1/qtm/m/n/10 ing meth-ods [][]\T1/txtt/m/sl/10 datarobot.models.DatetimeModel
.request_feature_effects_multiclass()[][]\T1/qtm/m/n/10 ,

Underfull \hbox (badness 10000) in paragraph at lines 109185--109193
[][]\T1/txtt/m/sl/10 datarobot.models.DatetimeModel.get_feature_effects_multicl
ass()[][] \T1/qtm/m/n/10 or [][]\T1/txtt/m/sl/10 datarobot.models.
[933] [934]
Underfull \hbox (badness 10000) in paragraph at lines 109335--109338
[]\T1/qtm/m/n/10 fix [][]\T1/txtt/m/sl/10 datarobot.CustomTaskVersion[][] \T1/q
tm/m/n/10 and [][]\T1/txtt/m/sl/10 datarobot.CustomModelVersion[][] \T1/qtm/m/n
/10 to cor-rectly for-mat

Underfull \hbox (badness 10000) in paragraph at lines 109411--109414
[]\T1/qtm/m/n/10 Added the abil-ity to re-quest a spe-cific model be pre-pared 
for de-ploy-ment us-ing [][]\T1/txtt/m/sl/10 Project.
[935] [936]
Underfull \hbox (badness 10000) in paragraph at lines 109652--109655
[]\T1/qtm/m/n/10 The \T1/txtt/m/n/10 required_metadata \T1/qtm/m/n/10 prop-erty
 of [][]\T1/txtt/m/sl/10 datarobot.CustomModelVersion[][] \T1/qtm/m/n/10 has be
en dep-re-cated.

Underfull \hbox (badness 10000) in paragraph at lines 109657--109660
[]\T1/qtm/m/n/10 The \T1/txtt/m/n/10 required_metadata \T1/qtm/m/n/10 prop-erty
 of [][]\T1/txtt/m/sl/10 datarobot.CustomTaskVersion[][] \T1/qtm/m/n/10 has bee
n dep-re-cated.
[937]
Underfull \hbox (badness 7907) in paragraph at lines 109828--109833
[]\T1/qtm/m/n/10 Sup-port for Batch Pre-dic-tion Job Def-i-ni-tions has now bee
n added through the fol-low-ing class:
[938]
Underfull \hbox (badness 10000) in paragraph at lines 109870--109873
[]\T1/qtm/m/n/10 Added method to down-load fea-ture dis-cov-ery recipe SQLs (li
m-ited beta fea-ture). [][]\T1/txtt/m/sl/10 Project.

Underfull \hbox (badness 10000) in paragraph at lines 109946--109951
[]\T1/qtm/m/n/10 Par-tial his-tory pre-dic-tions can be made with time se-ries 
time se-ries mul-ti-series mod-els us-

Underfull \hbox (badness 10000) in paragraph at lines 109946--109951
\T1/qtm/m/n/10 ing the \T1/txtt/m/n/10 allow_partial_history_time_series_predic
tions \T1/qtm/m/n/10 at-tribute of the [][]\T1/txtt/m/sl/10 datarobot.

Underfull \hbox (badness 10000) in paragraph at lines 109971--109979
[][]\T1/txtt/m/sl/10 PairwiseJointProbabilities[][] \T1/qtm/m/n/10 and [][]\T1/
txtt/m/sl/10 PairwiseConditionalProbabilities[][] \T1/qtm/m/n/10 or [][]\T1/txt
t/m/sl/10 Feature.

Underfull \hbox (badness 10000) in paragraph at lines 109971--109979
\T1/txtt/m/sl/10 get_pairwise_correlations[][]\T1/qtm/m/n/10 , [][]\T1/txtt/m/s
l/10 Feature.get_pairwise_joint_probabilities[][] \T1/qtm/m/n/10 and [][]\T1/tx
tt/m/sl/10 Feature.
[939]
Underfull \hbox (badness 10000) in paragraph at lines 110047--110050
[]\T1/qtm/m/n/10 Sup-port for down-load-ing fea-ture dis-cov-ery train-ing or p
re-dic-tion dataset us-ing [][]\T1/txtt/m/sl/10 Project.

Underfull \hbox (badness 10000) in paragraph at lines 110052--110058
[]\T1/qtm/m/n/10 Added [][]\T1/txtt/m/sl/10 datarobot.models.FeatureAssociation
Matrix[][]\T1/qtm/m/n/10 , [][]\T1/txtt/m/sl/10 datarobot.models.

Underfull \hbox (badness 10000) in paragraph at lines 110052--110058
\T1/txtt/m/sl/10 FeatureAssociationMatrixDetails[][] \T1/qtm/m/n/10 and [][]\T1
/txtt/m/sl/10 datarobot.models.FeatureAssociationFeaturelists[][]

Underfull \hbox (badness 10000) in paragraph at lines 110082--110089
[]\T1/qtm/m/n/10 Re-move \T1/txtt/m/n/10 desired_memory \T1/qtm/m/n/10 param fr
om the fol-low-ing meth-ods: [][]\T1/txtt/m/sl/10 CustomInferenceModel.

Underfull \hbox (badness 10000) in paragraph at lines 110082--110089
\T1/txtt/m/sl/10 create[][]\T1/qtm/m/n/10 , [][]\T1/txtt/m/sl/10 CustomModelVer
sion.create_clean[][]\T1/qtm/m/n/10 , [][]\T1/txtt/m/sl/10 CustomModelVersion.c
reate_from_previous[][]\T1/qtm/m/n/10 ,
[940] [941]
Underfull \hbox (badness 8170) in paragraph at lines 110218--110221
[]\T1/qtm/m/n/10 Fea-ture dis-cov-ery projects can now be cre-ated us-ing the [
][]\T1/txtt/m/sl/10 Project.start[][] \T1/qtm/m/n/10 method by pro-vid-ing

Underfull \hbox (badness 10000) in paragraph at lines 110223--110226
\T1/txtt/m/sl/10 get[][] \T1/qtm/m/n/10 Cor-re-spond-ing fea-ture lin-eage id i
s avail-able as a new [][]\T1/txtt/m/sl/10 datarobot.models.Feature[][] \T1/qtm
/m/n/10 field

Underfull \hbox (badness 10000) in paragraph at lines 110306--110311
[]\T1/qtm/m/n/10 New \T1/txtt/m/n/10 sampling_method \T1/qtm/m/n/10 param in []
[]\T1/txtt/m/sl/10 Model.train_datetime[][]\T1/qtm/m/n/10 , [][]\T1/txtt/m/sl/1
0 Project.train_datetime[][]\T1/qtm/m/n/10 , [][]\T1/txtt/m/sl/10 Model.
[942]
Underfull \hbox (badness 10000) in paragraph at lines 110331--110333
[]\T1/qtm/m/n/10 Class \T1/txtt/m/n/10 FeatureEngineeringGraph \T1/qtm/m/n/10 h
as been re-moved. Use [][]\T1/txtt/m/sl/10 datarobot.models.

Underfull \hbox (badness 10000) in paragraph at lines 110410--110414
[]\T1/qtm/m/n/10 Added sup-port for Cus-tom Model De-pen-dency Man-age-ment. Pl
ease see :ref:\T1/txtt/m/n/10 custom model

Underfull \hbox (badness 10000) in paragraph at lines 110453--110456
[]\T1/qtm/m/n/10 Added a new method to trig-ger Fea-ture Im-pact cal-cu-la-tion
 for a Cus-tom In-fer-ence Im-age:
[943] [944]
Underfull \hbox (badness 10000) in paragraph at lines 110596--110605
[]\T1/qtm/m/n/10 Added new ar-gu-ments \T1/txtt/m/n/10 explanation_algorithm \T
1/qtm/m/n/10 and \T1/txtt/m/n/10 max_explanations \T1/qtm/m/n/10 to method [][]
\T1/txtt/m/sl/10 Model.

Underfull \hbox (badness 10000) in paragraph at lines 110607--110614
[]\T1/qtm/m/n/10 Added new ar-gu-ments \T1/txtt/m/n/10 explanation_algorithm \T
1/qtm/m/n/10 and \T1/txtt/m/n/10 max_explanations \T1/qtm/m/n/10 to method [][]
\T1/txtt/m/sl/10 Model.
[945]
Underfull \hbox (badness 10000) in paragraph at lines 110807--110811
[]\T1/qtm/m/n/10 Batch Pre-dic-tion jobs now sup-port scor-ing to Azure and Goo
gle Cloud Stor-age with meth-ods
[946]
Underfull \hbox (badness 8132) in paragraph at lines 110845--110850
[]\T1/qtm/m/n/10 These meth-ods now pro-vide ad-di-tional meta-data fields in F
ea-ture Im-pact re-sults if called with

Underfull \hbox (badness 10000) in paragraph at lines 110865--110869
[]\T1/qtm/m/n/10 Sec-ondary dataset con-fig-u-ra-tion re-trieve and dele-tion i
s eas-ier now though new

Underfull \hbox (badness 10000) in paragraph at lines 110865--110869
[][]\T1/txtt/m/sl/10 SecondaryDatasetConfigurations.delete[][] \T1/qtm/m/n/10 s
oft deletes a Sec-ondary dataset con-fig-u-ra-tion.

Underfull \hbox (badness 10000) in paragraph at lines 110889--110891
[]\T1/qtm/m/n/10 Batch Pre-dic-tion jobs that used other out-put types than \T1
/txtt/m/n/10 local_file \T1/qtm/m/n/10 failed when us-ing \T1/txtt/m/n/10 .
[947] [948]
Underfull \hbox (badness 10000) in paragraph at lines 111135--111139
[]\T1/qtm/m/n/10 A new boolean at-tribute \T1/txtt/m/n/10 unsupervised_mode \T1
/qtm/m/n/10 was added to [][]\T1/txtt/m/sl/10 datarobot.
[949]
Underfull \hbox (badness 10000) in paragraph at lines 111208--111212
[]\T1/qtm/m/n/10 Time se-ries model de-ploy-ments now sup-port pre-dic-tion in-
ter-vals. See

Underfull \hbox (badness 10000) in paragraph at lines 111208--111212
[][]\T1/txtt/m/sl/10 Deployment.get_prediction_intervals_settings[][] \T1/qtm/m
/n/10 and [][]\T1/txtt/m/sl/10 Deployment.

Overfull \hbox (7.70421pt too wide) in paragraph at lines 111244--111246
[]\T1/qtm/m/n/10 Re-gres-sion de-ploy-ments now sup-port :ref:\T1/txtt/m/n/10 p
rediction warnings<deployment_prediction_warning>\T1/qtm/m/n/10 . 

Underfull \hbox (badness 10000) in paragraph at lines 111264--111267
[]\T1/qtm/m/n/10 It's now pos-si-ble to get fea-ture as-so-ci-a-tion sta-tuses 
for fea-turelists us-ing [][]\T1/txtt/m/sl/10 Project.

Underfull \hbox (badness 7925) in paragraph at lines 111301--111303
[]\T1/qtm/m/n/10 Method [][]\T1/txtt/m/sl/10 Project.set_target[][] \T1/qtm/m/n
/10 sup-port new op-tional pa-ram-e-ters \T1/txtt/m/n/10 featureEngineeringGrap
hs \T1/qtm/m/n/10 and
[950]
Underfull \hbox (badness 10000) in paragraph at lines 111309--111314
[]\T1/qtm/m/n/10 Se-ries ac-cu-racy re-trieval meth-ods ([][]\T1/txtt/m/sl/10 D
atetimeModel.get_series_accuracy_as_dataframe[][] \T1/qtm/m/n/10 and

Underfull \hbox (badness 10000) in paragraph at lines 111400--111402
[]\T1/qtm/m/n/10 Mono-tonic con-straints are now sup-ported for OTV projects. T
o that end, the pa-ram-e-ters

Underfull \hbox (badness 10000) in paragraph at lines 111400--111402
\T1/txtt/m/n/10 monotonic_increasing_featurelist_id \T1/qtm/m/n/10 and \T1/txtt
/m/n/10 monotonic_decreasing_featurelist_id \T1/qtm/m/n/10 can be
[951]
Underfull \hbox (badness 7451) in paragraph at lines 111489--111492
[]\T1/qtm/m/n/10 When [][]\T1/txtt/m/sl/10 specifying datetime partitioning[][]
 \T1/qtm/m/n/10 set-tings , :ref:\T1/txtt/m/n/10 time series <time_series> \T1/
qtm/m/n/10 projects

Underfull \hbox (badness 10000) in paragraph at lines 111489--111492
\T1/txtt/m/sl/10 do_not_derive[][] \T1/qtm/m/n/10 at-tribute. Any fea-tures not
 spec-i-fied will be as-signed ac-cord-ing to the
[952] [953]
Underfull \hbox (badness 10000) in paragraph at lines 111699--111708
[]\T1/qtm/m/n/10 Pre-vi-ously avail-able for only Eu-reqa mod-els, Ad-vanced Tu
n-ing meth-ods and ob-jects, in-clud-ing

Underfull \hbox (badness 10000) in paragraph at lines 111699--111708
[][]\T1/txtt/m/sl/10 Model.start_advanced_tuning_session[][]\T1/qtm/m/n/10 , []
[]\T1/txtt/m/sl/10 Model.get_advanced_tuning_parameters[][]\T1/qtm/m/n/10 , [][
]\T1/txtt/m/sl/10 Model.
[954]
Underfull \hbox (badness 10000) in paragraph at lines 111738--111740
[][][]\T1/txtt/m/sl/10 Project.upload_dataset[][] \T1/qtm/m/n/10 and [][]\T1/tx
tt/m/sl/10 Project.upload_dataset_from_data_source[][] \T1/qtm/m/n/10 will re-t
urn a
[955]
Underfull \hbox (badness 10000) in paragraph at lines 111860--111863
[]\T1/qtm/m/n/10 New class for work-ing with model com-pli-ance doc-u-men-ta-ti
on fea-ture of DataRobot: class

Underfull \hbox (badness 10000) in paragraph at lines 111879--111884
[]\T1/qtm/m/n/10 Cross se-ries fea-tures can now be cre-ated within time se-rie
s mul-ti-series projects us-ing

Underfull \hbox (badness 10000) in paragraph at lines 111879--111884
\T1/qtm/m/n/10 the \T1/txtt/m/n/10 use_cross_series_features \T1/qtm/m/n/10 and
 \T1/txtt/m/n/10 aggregation_type \T1/qtm/m/n/10 at-tributes of the [][]\T1/txt
t/m/sl/10 datarobot.

Underfull \hbox (badness 10000) in paragraph at lines 111910--111914
[]\T1/qtm/m/n/10 New \T1/txtt/m/n/10 number_of_known_in_advance_features \T1/qt
m/m/n/10 at-tribute has been added to the [][]\T1/txtt/m/sl/10 datarobot.
[956]
Underfull \hbox (badness 10000) in paragraph at lines 112003--112011
[]\T1/qtm/m/n/10 New meth-ods and ob-jects, in-clud-ing [][]\T1/txtt/m/sl/10 Mo
del.start_advanced_tuning_session[][]\T1/qtm/m/n/10 , [][]\T1/txtt/m/sl/10 Mode
l.

Underfull \hbox (badness 7504) in paragraph at lines 112003--112011
\T1/txtt/m/sl/10 get_advanced_tuning_parameters[][]\T1/qtm/m/n/10 , [][]\T1/txt
t/m/sl/10 Model.advanced_tune[][]\T1/qtm/m/n/10 , and [][]\T1/txtt/m/sl/10 Adva
ncedTuningSession[][]\T1/qtm/m/n/10 , were

Underfull \hbox (badness 10000) in paragraph at lines 112026--112029
[]\T1/qtm/m/n/10 A cus-tom pre-dic-tion thresh-old may now be con-fig-ured for 
each model via [][]\T1/txtt/m/sl/10 Model.

Underfull \hbox (badness 10000) in paragraph at lines 112036--112038
[]\T1/qtm/m/n/10 In-di-vid-ual cross val-i-da-tion scores can be re-trieved for
 new mod-els us-ing [][]\T1/txtt/m/sl/10 Model.
[957]
Underfull \hbox (badness 10000) in paragraph at lines 112078--112082
[][][]\T1/txtt/m/sl/10 ModelRecommendation.get[][] \T1/qtm/m/n/10 now ac-cepts 
an op-tional pa-ram-e-ter of type \T1/txtt/m/n/10 datarobot.enums.
[958]
Underfull \hbox (badness 10000) in paragraph at lines 112195--112199
[]\T1/qtm/m/n/10 Added a new fea-ture to re-trieve fea-ture logs for time se-ri
es projects. Check [][]\T1/txtt/m/sl/10 datarobot.

Underfull \hbox (badness 10000) in paragraph at lines 112195--112199
\T1/txtt/m/sl/10 DatetimePartitioning.feature_log_list()[][] \T1/qtm/m/n/10 and
 [][]\T1/txtt/m/sl/10 datarobot.DatetimePartitioning.

Underfull \hbox (badness 10000) in paragraph at lines 112215--112219
[]\T1/qtm/m/n/10 New pa-ram-e-ters \T1/txtt/m/n/10 predictions_start_date \T1/q
tm/m/n/10 and \T1/txtt/m/n/10 predictions_end_date \T1/qtm/m/n/10 added to [][]
\T1/txtt/m/sl/10 Project.

Underfull \hbox (badness 5302) in paragraph at lines 112241--112245
\T1/qtm/m/n/10 re-cated and will be re-moved in 2.14. Use [][]\T1/txtt/m/sl/10 
datarobot.DatetimePartitioningSpecification.
[959] [960] [961]
Underfull \hbox (badness 10000) in paragraph at lines 112515--112518
[]\T1/qtm/m/n/10 Lift chart data for mod-els can be re-trieved us-ing the \T1/t
xtt/m/n/10 Model.get_lift_chart \T1/qtm/m/n/10 and \T1/txtt/m/n/10 Model.
[962] [963]
Underfull \hbox (badness 10000) in paragraph at lines 112708--112710
[]\T1/qtm/m/n/10 When call-ing \T1/txtt/m/n/10 get_result \T1/qtm/m/n/10 for a 
Job, Mod-elJob, or Pre-dic-tJob that has er-rored,
[964]
Underfull \hbox (badness 10000) in paragraph at lines 112812--112816
[]\T1/qtm/m/n/10 (Only rel-e-vant for on-premise users with a Stan-dalone Scor-
ing clus-ter.) Meth-ods
[965]
Underfull \hbox (badness 6268) in paragraph at lines 112927--112931
[]\T1/qtm/m/n/10 A new im-proved work-flow for pre-dic-tions now sup-ports firs
t up-load-ing a dataset via \T1/txtt/m/n/10 Project.
[966]
Underfull \hbox (badness 10000) in paragraph at lines 113063--113065
[]\T1/txtt/m/n/10 PredictJob.create \T1/qtm/m/n/10 has been dep-re-cated in fa-
vor of the al-ter-nate work-flow us-ing \T1/txtt/m/n/10 Model.
[967] [968] [969]
Underfull \hbox (badness 6016) in paragraph at lines 113409--113413
[]\T1/qtm/m/n/10 In sev-eral places where \T1/txtt/m/n/10 AppPlatformError \T1/
qtm/m/n/10 was be-ing raised, now \T1/txtt/m/n/10 TypeError\T1/qtm/m/n/10 , \T1
/txtt/m/n/10 ValueError \T1/qtm/m/n/10 or

Underfull \hbox (badness 10000) in paragraph at lines 113429--113434
[]\T1/qtm/m/n/10 If a \T1/txtt/m/n/10 ClientError \T1/qtm/m/n/10 or \T1/txtt/m/
n/10 ServerError \T1/qtm/m/n/10 oc-curs dur-ing a call to \T1/txtt/m/n/10 Proje
ct.from_async\T1/qtm/m/n/10 , then a
[970]
Underfull \hbox (badness 10000) in paragraph at lines 113500--113503
[]\T1/txtt/m/n/10 recommendation_settings \T1/qtm/m/n/10 pa-ram-e-ter of \T1/tx
tt/m/n/10 Project.start \T1/qtm/m/n/10 is dep-re-cated in fa-vor of
[971] [972] [973] [974] (./datarobot-public-api-client.ind [975] [976] [977]
[978]
Underfull \hbox (badness 5548) in paragraph at lines 195--197
[]\T1/txtt/m/n/10 bucket_sample_sizes \T1/qtm/m/n/10 (\T1/qtm/m/it/10 datarobot
.models.deployment.custom_metrics.CustomMetricValuesOverBatch prop-erty\T1/qtm/
m/n/10 ),

Underfull \hbox (badness 10000) in paragraph at lines 197--199
[]\T1/txtt/m/n/10 bucket_sample_sizes \T1/qtm/m/n/10 (\T1/qtm/m/it/10 datarobot
.models.deployment.custom_metrics.CustomMetricValuesOverTime prop-erty\T1/qtm/m
/n/10 ),
[979] [980] [981]
Underfull \hbox (badness 10000) in paragraph at lines 491--493
[]\T1/txtt/m/n/10 create() \T1/qtm/m/n/10 (\T1/qtm/m/it/10 datarobot.models.gen
ai.evaluation_dataset_configuration.EvaluationDatasetConfiguration class

Underfull \hbox (badness 10000) in paragraph at lines 493--495
[]\T1/txtt/m/n/10 create() \T1/qtm/m/n/10 (\T1/qtm/m/it/10 datarobot.models.gen
ai.evaluation_dataset_metric_aggregation.EvaluationDatasetMetricAggregation

Underfull \hbox (badness 10000) in paragraph at lines 509--511
[]\T1/txtt/m/n/10 create() \T1/qtm/m/n/10 (\T1/qtm/m/it/10 datarobot.models.gen
ai.synthetic_evaluation_dataset_generation.SyntheticEvaluationDataset class
[982] [983] [984] [985] [986] [987]
Underfull \hbox (badness 10000) in paragraph at lines 949--951
[]\T1/txtt/m/n/10 delete() \T1/qtm/m/n/10 (\T1/qtm/m/it/10 datarobot.models.gen
ai.evaluation_dataset_metric_aggregation.EvaluationDatasetMetricAggregation
[988] [989]
Overfull \hbox (31.33444pt too wide) in paragraph at lines 1155--1157
[]\T1/txtt/m/n/10 evaluation_dataset_configuration_id \T1/qtm/m/n/10 (\T1/qtm/m
/it/10 datarobot.models.genai.llm_test_configuration.DatasetEvaluationRequestDi
ct

Overfull \hbox (6.44446pt too wide) in paragraph at lines 1165--1167
[]\T1/txtt/m/n/10 EvaluationDatasetMetricAggregation \T1/qtm/m/n/10 (\T1/qtm/m/
it/10 class in datarobot.models.genai.evaluation_dataset_metric_aggregation\T1/
qtm/m/n/10 ),
[990]
Underfull \hbox (badness 10000) in paragraph at lines 1264--1266
[]\T1/txtt/m/n/10 features_with_most_missing_values \T1/qtm/m/n/10 (\T1/qtm/m/i
t/10 datarobot._experimental.models.model_lineage.FeaturelistInfo at-

Underfull \hbox (badness 10000) in paragraph at lines 1297--1299
[]\T1/txtt/m/n/10 find_anomalous_regions() \T1/qtm/m/n/10 (\T1/qtm/m/it/10 data
robot.models.anomaly_assessment.AnomalyAssessmentPredictionsPreview
[991] [992] [993] [994] [995] [996]
Underfull \hbox (badness 10000) in paragraph at lines 1810--1812
[]\T1/txtt/m/n/10 get_buckets_as_dataframe() \T1/qtm/m/n/10 (\T1/qtm/m/it/10 da
tarobot.models.deployment.custom_metrics.CustomMetricValuesOverBatch

Underfull \hbox (badness 10000) in paragraph at lines 1812--1814
[]\T1/txtt/m/n/10 get_buckets_as_dataframe() \T1/qtm/m/n/10 (\T1/qtm/m/it/10 da
tarobot.models.deployment.custom_metrics.CustomMetricValuesOverTime

Underfull \hbox (badness 10000) in paragraph at lines 1840--1842
[]\T1/txtt/m/n/10 get_closest_data_for_featurelist() \T1/qtm/m/n/10 (\T1/qtm/m/
it/10 datarobot._experimental.models.data_matching.DataMatching
[997]
Underfull \hbox (badness 10000) in paragraph at lines 1889--1891
[]\T1/txtt/m/n/10 get_datasource_definition() \T1/qtm/m/n/10 (\T1/qtm/m/it/10 d
atarobot._experimental.models.chunking_service.DatasetChunkDefinition

Overfull \hbox (51.0944pt too wide) in paragraph at lines 1902--1904
[]\T1/txtt/m/n/10 get_document_page_with_text_locations() \T1/qtm/m/n/10 (\T1/q
tm/m/it/10 datarobot.models.documentai.document.DocumentTextExtractionSamplePag
e

Underfull \hbox (badness 10000) in paragraph at lines 1917--1919
[]\T1/txtt/m/n/10 get_explanations_data_in_regions() \T1/qtm/m/n/10 (\T1/qtm/m/
it/10 datarobot.models.anomaly_assessment.AnomalyAssessmentRecord
[998] [999] [1000] [1001] [1002]
Underfull \hbox (badness 10000) in paragraph at lines 2362--2364
[]\T1/txtt/m/n/10 get_supported_retrieval_settings() \T1/qtm/m/n/10 (\T1/qtm/m/
it/10 datarobot.models.genai.vector_database.VectorDatabase class
[1003]
Underfull \hbox (badness 10000) in paragraph at lines 2510--2512
[]\T1/txtt/m/n/10 insight_grading_criteria \T1/qtm/m/n/10 (\T1/qtm/m/it/10 data
robot.models.genai.llm_test_configuration.DatasetEvaluationDict at-tribute\T1/q
tm/m/n/10 ),

Underfull \hbox (badness 10000) in paragraph at lines 2512--2514
[]\T1/txtt/m/n/10 insight_grading_criteria \T1/qtm/m/n/10 (\T1/qtm/m/it/10 data
robot.models.genai.llm_test_configuration.DatasetEvaluationRequestDict
[1004]
Underfull \hbox (badness 10000) in paragraph at lines 2544--2546
[]\T1/txtt/m/n/10 is_model_compliance_initialized \T1/qtm/m/n/10 (\T1/qtm/m/it/
10 datarobot.models.automated_documentation.AutomatedDocument prop-
[1005] [1006]
Underfull \hbox (badness 10000) in paragraph at lines 2774--2776
[]\T1/txtt/m/n/10 list_all_available_document_types() \T1/qtm/m/n/10 (\T1/qtm/m
/it/10 datarobot.models.automated_documentation.AutomatedDocument
[1007]
Underfull \hbox (badness 10000) in paragraph at lines 2781--2783
[]\T1/txtt/m/n/10 list_available_document_types() \T1/qtm/m/n/10 (\T1/qtm/m/it/
10 datarobot.models.automated_documentation.AutomatedDocument class
[1008]
Underfull \hbox (badness 10000) in paragraph at lines 2871--2873
[]\T1/txtt/m/n/10 milliseconds_to_predict_1000_rows \T1/qtm/m/n/10 (\T1/qtm/m/i
t/10 datarobot._experimental.models.model_lineage.ModelInfo at-tribute\T1/qtm/m
/n/10 ),
[1009]
Underfull \hbox (badness 10000) in paragraph at lines 3032--3034
[]\T1/txtt/m/n/10 number_of_missing_values \T1/qtm/m/n/10 (\T1/qtm/m/it/10 data
robot._experimental.models.model_lineage.FeatureWithMissingValues at-
[1010]
Underfull \hbox (badness 10000) in paragraph at lines 3114--3116
[]\T1/txtt/m/n/10 patch_validation_dates() \T1/qtm/m/n/10 (\T1/qtm/m/it/10 data
robot._experimental.models.chunking_service.DatasetChunkDefinition class
[1011]
Underfull \hbox (badness 10000) in paragraph at lines 3215--3217
[]\T1/txtt/m/n/10 prompt_sampling_strategy \T1/qtm/m/n/10 (\T1/qtm/m/it/10 data
robot.models.genai.llm_test_configuration.DatasetEvaluationDict at-tribute\T1/q
tm/m/n/10 ),

Underfull \hbox (badness 10000) in paragraph at lines 3217--3219
[]\T1/txtt/m/n/10 prompt_sampling_strategy \T1/qtm/m/n/10 (\T1/qtm/m/it/10 data
robot.models.genai.llm_test_configuration.DatasetEvaluationRequestDict
[1012] [1013] [1014] [1015] [1016] [1017] [1018] [1019] [1020] [1021] [1022]
Underfull \hbox (badness 7722) in paragraph at lines 4192--4194
[]\T1/txtt/m/n/10 validate_task_parameters() \T1/qtm/m/n/10 (\T1/qtm/m/it/10 da
tarobot.models.user_blueprints.models.UserBlueprintValidateTaskParameters
[1023]) [1024] (./datarobot-public-api-client.aux)

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