Read the Docs build information
Build id: 2688598
Project: datarobot-public-api-client
Version: early-access
Commit: 45d97a73deb415c955e9d9f40cf9f5d2fac111e1
Date: 2024-12-16T18:05:23.401202Z
State: finished
Success: True


[rtd-command-info] start-time: 2024-12-16T18:06:49.122846Z, end-time: 2024-12-16T18:06:52.713253Z, 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: 2024-12-16T18:06:52.781048Z, end-time: 2024-12-16T18:06:56.003091Z, duration: 3, exit-code: 0
git fetch origin --force --prune --prune-tags --depth 50 refs/tags/early-access:refs/tags/early-access
Warning: Permanently added 'github.com' (ED25519) to the list of known hosts.
Warning: Permanently added 'github.com' (ED25519) to the list of known hosts.
From github.com:datarobot/public_api_client
 * [new tag]         v3.6.0rc0  -> v3.6.0rc0

[rtd-command-info] start-time: 2024-12-16T18:06:56.135811Z, end-time: 2024-12-16T18:06:56.900528Z, duration: 0, exit-code: 0
git checkout --force 45d97a73deb415c955e9d9f40cf9f5d2fac111e1
Note: switching to '45d97a73deb415c955e9d9f40cf9f5d2fac111e1'.

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 45d97a7 [DSX-3579] Update 104 Error Handling (#3411)

[rtd-command-info] start-time: 2024-12-16T18:06:56.966589Z, end-time: 2024-12-16T18:06:57.033770Z, 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: 2024-12-16T18:07:04.121234Z, end-time: 2024-12-16T18:07:04.209012Z, duration: 0, exit-code: 0
asdf global python 3.11.10


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python -mvirtualenv $READTHEDOCS_VIRTUALENV_PATH
created virtual environment CPython3.11.10.final.0-64 in 772ms
  creator CPython3Posix(dest=/home/docs/checkouts/readthedocs.org/user_builds/datarobot-public-api-client/envs/early-access, 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: 2024-12-16T18:07:05.840914Z, end-time: 2024-12-16T18:07:18.822998Z, duration: 12, exit-code: 0
python -m pip install --upgrade --no-cache-dir pip setuptools
Requirement already satisfied: pip in /home/docs/checkouts/readthedocs.org/user_builds/datarobot-public-api-client/envs/early-access/lib/python3.11/site-packages (23.1)
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Installing collected packages: setuptools, pip
  Attempting uninstall: setuptools
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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-24.3.1 setuptools-75.6.0

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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 Jinja2-3.1.4 MarkupSafe-3.0.2 Pygments-2.18.0 alabaster-1.0.0 babel-2.16.0 certifi-2024.12.14 charset-normalizer-3.4.0 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 urllib3-2.2.3

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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/early-access
  Installing build dependencies: started
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Building wheels for collected packages: datarobot, jupyter_contrib_nbextensions, jupyter_contrib_core
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Successfully built datarobot jupyter_contrib_nbextensions jupyter_contrib_core
Installing collected packages: webencodings, wcwidth, types-urllib3, types-PyYAML, types-pytz, types-python-dateutil, types-decorator, 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-4.7.0 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-24.3.0 beautifulsoup4-4.12.3 black-24.4.2 bleach-6.2.0 cachetools-5.5.0 cffi-1.17.1 click-8.1.7 comm-0.2.2 coverage-7.6.9 databricks-connect-16.0.0 databricks-sdk-0.39.0 datarobot-3.7.0b0 debugpy-1.8.11 decorator-5.1.1 defusedxml-0.7.1 dill-0.3.9 executing-2.1.0 fastjsonschema-2.21.1 flake8-5.0.4 fqdn-1.5.1 google-auth-2.37.0 googleapis-common-protos-1.66.0 grpcio-1.68.1 grpcio-status-1.68.1 h11-0.14.0 httpcore-1.0.7 httpx-0.28.1 iniconfig-2.0.0 ipykernel-6.29.5 ipython-8.30.0 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-0.10.0 jupyter-lsp-2.2.5 jupyter-server-2.14.2 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-4.3.3 jupyterlab-pygments-0.3.0 jupyterlab-server-2.27.3 lazy-object-proxy-1.10.0 lxml-5.3.0 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-3.0.2 mypy-1.0.0 mypy-extensions-1.0.0 myst-parser-4.0.0 nbclient-0.10.1 nbconvert-7.16.4 nbformat-5.10.4 nbsphinx-0.9.5 nest-asyncio-1.6.0 notebook-7.3.1 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-3.0.48 protobuf-5.29.1 psutil-6.1.0 ptyprocess-0.7.0 pure-eval-0.2.3 py4j-0.10.9.7 pyarrow-18.1.0 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-2024.2 pyyaml-6.0.2 pyzmq-26.2.0 referencing-0.35.1 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-2.5.0 sphinx-copybutton-0.5.2 sphinx-markdown-builder-0.6.7 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-decorator-5.1.8 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-2024.2 uri-template-1.3.0 wcwidth-0.2.13 webcolors-24.11.1 webencodings-0.5.1 websocket-client-1.8.0 wrapt-1.17.0

[rtd-command-info] start-time: 2024-12-16T18:08:14.874992Z, end-time: 2024-12-16T18:08:14.938631Z, 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.addnodes import versionmodified
from sphinx.application import Sphinx
from sphinx.util.docutils import SphinxDirective
from sphinx_markdown_builder.translator import MarkdownTranslator

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.autosummary",
    "sphinx.ext.doctest",
    "numpydoc",
    "nbsphinx",
    "sphinx_autodoc_typehints",
    "sphinx_copybutton",
    "sphinx_markdown_builder",
    "myst_parser",
]

# 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",
}

# Showing automatically documented members in same order as they are in source
autodoc_member_order = "bysource"

# 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 better_versionmodified(self: SphinxDirective, node: versionmodified) -> None:
    if version := node.get("version"):
        self.add(f"<!-- md:version {version} -->", prefix_eol=1)


def setup(app: Sphinx) -> None:
    MarkdownTranslator.visit_versionmodified = better_versionmodified

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

[rtd-command-info] start-time: 2024-12-16T18:08:15.004927Z, end-time: 2024-12-16T18:09:24.843893Z, duration: 69, 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
[autosummary] generating autosummary for: CHANGES.md, autodoc/advanced_options.md, autodoc/advanced_tuning.md, autodoc/anomaly_assessment.md, autodoc/api_object.md, autodoc/api_reference.md, autodoc/application.md, autodoc/automated_documentation.md, autodoc/batch_job.md, autodoc/batch_monitoring.md, ..., reference/modeling/spec/segmented_modeling.md, reference/modeling/spec/time_series.md, reference/modeling/spec/unsupervised_anomaly.md, reference/modeling/spec/unsupervised_clustering.md, reference/modeling/spec/visualai.md, reference/predictions/batch_predictions.md, reference/predictions/index.md, reference/predictions/predict_job.md, reference/use_cases/index.md, reference/use_cases/use_cases.md
Writing evaluated template result to /home/docs/checkouts/readthedocs.org/user_builds/datarobot-public-api-client/checkouts/early-access/_readthedocs/html/_static/nbsphinx-code-cells.css
myst v4.0.0: MdParserConfig(commonmark_only=False, gfm_only=False, enable_extensions=set(), 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=0, 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)
building [mo]: targets for 0 po files that are out of date
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You have imported from the _experimental directory.
This directory is used for unreleased datarobot features.
Unless you specifically know better, you don't have the access to use this functionality in the app, so this code will not work.
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looking for now-outdated files... none found
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checking consistency... done
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Writing evaluated template result to /home/docs/checkouts/readthedocs.org/user_builds/datarobot-public-api-client/checkouts/early-access/_readthedocs/html/_static/language_data.js
Writing evaluated template result to /home/docs/checkouts/readthedocs.org/user_builds/datarobot-public-api-client/checkouts/early-access/_readthedocs/html/_static/documentation_options.js
Writing evaluated template result to /home/docs/checkouts/readthedocs.org/user_builds/datarobot-public-api-client/checkouts/early-access/_readthedocs/html/_static/js/versions.js
Writing evaluated template result to /home/docs/checkouts/readthedocs.org/user_builds/datarobot-public-api-client/checkouts/early-access/_readthedocs/html/_static/copybutton.js
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dumping search index in English (code: en)... done
dumping object inventory... done
build succeeded.

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

[rtd-command-info] start-time: 2024-12-16T18:09:24.925109Z, end-time: 2024-12-16T18:09:59.076648Z, duration: 34, 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
[autosummary] generating autosummary for: CHANGES.md, autodoc/advanced_options.md, autodoc/advanced_tuning.md, autodoc/anomaly_assessment.md, autodoc/api_object.md, autodoc/api_reference.md, autodoc/application.md, autodoc/automated_documentation.md, autodoc/batch_job.md, autodoc/batch_monitoring.md, ..., reference/modeling/spec/segmented_modeling.md, reference/modeling/spec/time_series.md, reference/modeling/spec/unsupervised_anomaly.md, reference/modeling/spec/unsupervised_clustering.md, reference/modeling/spec/visualai.md, reference/predictions/batch_predictions.md, reference/predictions/index.md, reference/predictions/predict_job.md, reference/use_cases/index.md, reference/use_cases/use_cases.md
myst v4.0.0: MdParserConfig(commonmark_only=False, gfm_only=False, enable_extensions=set(), 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=0, 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)
building [mo]: targets for 0 po files that are out of date
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building [latex]: all documents
updating environment: 0 added, 1 changed, 0 removed
reading sources... [100%] CHANGES

looking for now-outdated files... none found
pickling environment... done
checking consistency... done
preparing documents... done
copying assets... 
copying TeX support files... Writing evaluated template result to /home/docs/checkouts/readthedocs.org/user_builds/datarobot-public-api-client/checkouts/early-access/_readthedocs/pdf/make.bat
Writing evaluated template result to /home/docs/checkouts/readthedocs.org/user_builds/datarobot-public-api-client/checkouts/early-access/_readthedocs/pdf/latexmkrc
Writing evaluated template result to /home/docs/checkouts/readthedocs.org/user_builds/datarobot-public-api-client/checkouts/early-access/_readthedocs/pdf/latexmkjarc
Writing evaluated template result to /home/docs/checkouts/readthedocs.org/user_builds/datarobot-public-api-client/checkouts/early-access/_readthedocs/pdf/Makefile
done
copying assets: done
processing DataRobotPython_3.7.0b0_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
   reference/modeling/blueprint
   reference/modeling/spec/index
    reference/modeling/spec/datetime_partition
    reference/modeling/spec/time_series
    reference/modeling/spec/visualai
    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
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    reference/modeling/insights/automated_documentation
    reference/modeling/insights/external_testset
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  reference/mlops/index
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   reference/mlops/jobs
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   reference/mlops/key_values
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  autodoc/application
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  autodoc/data_store
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  autodoc/dataset_definition
  autodoc/datasets
  autodoc/datetime_trend_plots
  autodoc/deployment
  autodoc/document_ai
  autodoc/external_baseline_validation
  autodoc/external_scores_insights
  autodoc/feature
  autodoc/feature_association
  autodoc/feature_effects
  autodoc/feature_lineage
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Job, Mod-elJob, or Pre-dic-tJob that has er-rored,
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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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[1060] [1061] [1062] [1063] [1064]

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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
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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] [45]
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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] [72]

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l.5111 ...gment\PYGZus{}id}\PYG{l+s+s2}{\PYGZdq{}}
                                                  

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l.5725     ├── data.csv
                             

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l.5725     ├── data.csv
                             
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[]\T1/qtm/m/n/10 :::{note} \T1/txtt/m/n/10 PredictionExplanations.get_all_as_da
taframe() \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
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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/qtm/m/it/10 ber_of_incremental_learning_iterations_before_best_model_select
ion=None\T1/qtm/m/n/10 , 
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\T1/qtm/m/n/10 (New in ver-sion v2.23) one of \T1/txtt/m/n/10 datarobot.enums.

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\T1/qtm/m/n/10 ness. Can be one of \T1/txtt/m/n/10 proportionalParity\T1/qtm/m/
n/10 , \T1/txtt/m/n/10 equalParity\T1/qtm/m/n/10 ,

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\T1/txtt/m/n/10 predictionBalance\T1/qtm/m/n/10 , \T1/txtt/m/n/10 trueFavorable
AndUnfavorableRateParity \T1/qtm/m/n/10 or
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\T1/qtm/m/it/10 **record_kwargs\T1/txtt/m/n/10 )|  
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\T1/qtm/m/n/10 [string] The URL for the pre-dic-tion dataset (e.g.:

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\T1/qtm/m/n/10 [string] The URL for the scored dataset (e.g.: \T1/qtm/m/it/10 h
ttps://storage_account.blob.endpoint/container/blob_name\T1/qtm/m/n/10 ) 
[237]
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\T1/qtm/m/n/10 [string] The URL for the pre-dic-tion dataset (e.g.:

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\T1/qtm/m/n/10 [string] The URL for the scored dataset (e.g.: \T1/qtm/m/it/10 h
ttp(s)://storage.googleapis.com/[bucket]/[object]\T1/qtm/m/n/10 ) 
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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 tered_model_version\T1/qtm/m/n/10 , 

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\T1/qtm/m/it/10 model_execution_type\T1/qtm/m/n/10 , 

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\T1/qtm/m/it/10 model_description\T1/qtm/m/n/10 , 

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\T1/qtm/m/it/10 bias_and_fairness=None\T1/qtm/m/n/10 , 

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\T1/qtm/m/it/10 build_status=None\T1/qtm/m/n/10 , 

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\T1/qtm/m/it/10 dated_at=None\T1/qtm/m/n/10 , 

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\T1/qtm/m/it/10 dated_by=None\T1/qtm/m/n/10 , 

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\T1/qtm/m/it/10 mlpkg_file_contents=None\T1/txtt/m/n/10 )|  
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\T1/qtm/m/it/10 tom_metric_metadata\T1/qtm/m/n/10 , 

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\T1/qtm/m/it/10 fault_environment\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 is_model_specific\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.ANOMALY\T1/qtm/m/n/10 ,

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\T1/qtm/m/it/10 datarobot.TARGET_TYPE.UNSTRUCTURED \T1/qtm/m/n/10 or \T1/qtm/m/
it/10 datarobot.TARGET_TYPE.ANOMALY
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\T1/qtm/m/n/10 De-ter-mines whether the given cus-tom model is iso-lated, or ca
n 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/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/qtm/m/n/10 Tar-get fea-ture name. It is op-tional(ignored if pro-vided) for


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n 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/qtm/m/n/10 the type of the im-age, ei-ther CUS-TOM_MODEL_IMAGE_TYPE.CUSTOM_
MODEL_IMAGE

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\T1/qtm/m/n/10 if the test-ing at-tempt is us-ing a Cus-tom-Mod-e-lIm-age as it
s model or CUS-

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n 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/qtm/m/n/10 De-ter-mines whether the given cus-tom model is iso-lated, or ca
n 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/qtm/m/n/10 De-ter-mines whether the given cus-tom model is iso-lated, or ca
n 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/qtm/m/n/10 The base en-vi-ron-ment to use with this model ver-sion. At leas
t one of
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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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e1.txt^^Q,

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n ac-cess the

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RESS_POLICY.NONE\T1/qtm/m/n/10 ,
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\T1/qtm/m/n/10 The base en-vi-ron-ment to use with this model ver-sion. At leas
t one of

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\T1/qtm/m/n/10 will be used for tu-ples Ex-am-ple: [(^^P/home/user/Documents/my
Model/file1.txt^^Q,

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txt^^Q,

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n 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/qtm/m/n/10 Get lat-est cus-tom model ver-sion con-ver-sion for a given cus-
tom model ver-sion. :rtype:

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\T1/qtm/m/n/10 Get cus-tom model ver-sion con-ver-sions list per cus-tom model 
ver-sion. :rtype:
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\T1/qtm/m/n/10 Re-trieve in-for-ma-tion about a cus-tom model ver-sion's de-pen
-dency build :rtype:

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\T1/qtm/m/n/10 Start the de-pen-dency build for a cus-tom model ver-sion de-pen
-dency build :rtype:
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\T1/qtm/m/n/10 build sta-tus of 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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\T1/qtm/m/n/10 whether anomaly pre-dic-tions should be cal-i-brated to be be-tw
een 0

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\T1/qtm/m/n/10 and 1 by DR. only ap-plies to cus-tom es-ti-ma-tors with tar-get
 type
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\T1/qtm/m/it/10 only_matched_predictions=None\T1/qtm/m/n/10 , 
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\T1/qtm/m/n/10 [str] Op-tional. The full JDBC URL (for ex-am-ple:

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\T1/qtm/m/n/10 [str] Op-tional. The iden-ti-fier of the Con-nec-tor. if the typ
e is Data-S-tore-

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\T1/qtm/m/n/10 [str] Op-tional. The full JDBC URL (for ex-am-ple:
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\T1/qtm/m/n/10 SCHEMA . TABLE _ NAME$[][]' - `[][]$jdbc : DATA _ SOURCE _ GIVEN
 _ NAME$[][]/<query>' - for
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\T1/qtm/m/n/10 The res-o-lu-tion that is used for bin-ning. One of \T1/txtt/m/n
/10 datarobot.enums.
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\T1/qtm/m/n/10 The res-o-lu-tion that is used for bin-ning. One of \T1/txtt/m/n
/10 datarobot.enums.
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\T1/qtm/m/n/10 The res-o-lu-tion that is used for bin-ning. One of \T1/txtt/m/n
/10 datarobot.enums.
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\T1/qtm/m/n/10 [list] To cre-ate or up-date ex-ist-ing seg-ment anal-y-sis at-t
ributes, see
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\T1/qtm/m/n/10 [bool] If pre-dic-tions data col-lec-tion is en-abled for this d
e-ploy-

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\T1/qtm/m/n/10 ment. To up-date ex-ist-ing `'pre-dic-tions_data_collection'' se
t-tings, see

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\T1/qtm/m/n/10 [bool] If tar-get pre-dic-tion_warning is en-abled for this de-p
loy-ment.

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\T1/qtm/m/n/10 To cre-ate or up-date ex-ist-ing `'pre-dic-tion_warning'' set-ti
ngs, see
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\T1/qtm/m/n/10 Re-trieve drift in-for-ma-tion for de-ploy-ment's fea-tures over
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\T1/qtm/m/n/10 Re-trieve stats of de-ploy-ment's pre-dic-tion re-sponse over a 
cer-tain time pe-riod. :rtype:
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\T1/qtm/m/n/10 Re-trieve drift in-for-ma-tion for de-ploy-ment's fea-tures over
 a cer-tain time pe-riod. :rtype:
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\T1/qtm/m/it/10 tected_feature=None\T1/qtm/m/n/10 , 

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[]\T1/qtm/m/it/10 document_index\T1/qtm/m/n/10 , 

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\T1/qtm/m/it/10 tual_target_value=None\T1/qtm/m/n/10 , 
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[]\T1/qtm/m/it/10 baseline_validation_job_id\T1/qtm/m/n/10 , 

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\T1/qtm/m/it/10 log_version_id\T1/qtm/m/n/10 , 

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[]\T1/qtm/m/n/10 {`key':'DataRobot', `sum-mary':{`min':0, `max':29815.0, `std-D
ev':6498.029,
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[]\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 44076--44079
[]\T1/qtm/m/n/10 E.g. The prob-a-bil-ity P(A=0,B=1) can be re-trieved via:

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\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 ,

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[]\T1/qtm/m/n/10 E.g. The prob-a-bil-ity P(A=0,B=1) can be re-trieved via:
[482]
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\T1/qtm/m/n/10 [list(dict)] List of con-di-tional prob-a-bil-ity val-ues with a
 schema de-scribed as

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[]\T1/qtm/m/n/10 E.g. The prob-a-bil-ity P(A=0|B=1) can be re-trieved via:

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\T1/txtt/m/n/10 pairwise_conditional_probabilities.statistic_dataframes[(0,1)].

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\T1/qtm/m/n/10 [enums.FEATURE_ASSOCIATION_METRIC] The name of a met-ric to

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\T1/qtm/m/n/10 get pair-wise data for. Since `v2.19' this is op-tional and de-f
aults to

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\T1/qtm/m/it/10 model_package_registered_model_id=None\T1/txtt/m/n/10 )|  
[559]
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[]\T1/qtm/m/it/10 ootb_metric_configurations\T1/txtt/m/n/10 )|  
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\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
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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 59372--59377
[][]\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
[617] [618] [619] [620] [621] [622] [623]
Underfull \hbox (badness 5592) in paragraph at lines 60033--60039
\T1/qtm/m/n/10 of fea-tures with a mono-ton-i-cally de-creas-ing re-la-tion-shi
p to the tar-get. Pass-

Underfull \hbox (badness 10000) in paragraph at lines 60033--60039
\T1/qtm/m/n/10 ing \T1/txtt/m/n/10 None \T1/qtm/m/n/10 dis-ables de-creas-ing m
ono-tonic-ity con-straint. De-fault (\T1/txtt/m/n/10 dr.enums.

Underfull \hbox (badness 10000) in paragraph at lines 60078--60083
[]\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 60078--60083
[][]\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
[624] [625] [626] [627] [628] [629] [630] [631] [632] [633] [634] [635]
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Underfull \hbox (badness 5359) in paragraph at lines 61522--61525
\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
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\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
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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 66141--66146
[][]\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
[676] [677] [678] [679] [680] [681] [682]
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\T1/qtm/m/n/10 of fea-tures with a mono-ton-i-cally de-creas-ing re-la-tion-shi
p to the tar-get. Pass-

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\T1/qtm/m/n/10 ing \T1/txtt/m/n/10 None \T1/qtm/m/n/10 dis-ables de-creas-ing m
ono-tonic-ity con-straint. De-fault (\T1/txtt/m/n/10 dr.enums.

Underfull \hbox (badness 10000) in paragraph at lines 66847--66852
[]\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 66847--66852
[][]\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
[683] [684] [685] [686] [687]
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\T1/qtm/m/n/10 of the \T1/txtt/m/n/10 windows_basis_unit \T1/qtm/m/n/10 into th
e past rel-a-tive to the fore-cast point the

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\T1/txtt/m/n/10 feature_derivation_window_start \T1/qtm/m/n/10 set on the proje
ct due to the dif-fer-enc-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 67627--67632
[][]\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
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Underfull \hbox (badness 10000) in paragraph at lines 68784--68788
\T1/qtm/m/n/10 [AnomalyOverTimePlotPreview] a [][]\T1/txtt/m/sl/10 AnomalyOverT
imePlotPreview[][] \T1/qtm/m/n/10 rep-re-sent-ing
[703]
Underfull \hbox (badness 10000) in paragraph at lines 68900--68904
\T1/qtm/m/n/10 [list of Anoma-lyAssess-men-tRecord] a [][]\T1/txtt/m/sl/10 Anom
alyAssessmentRecord[][] \T1/qtm/m/n/10 rep-re-sent-ing
[704]
Underfull \hbox (badness 5359) in paragraph at lines 68979--68982
\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
[705]
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\T1/qtm/m/n/10 [str] (Dep-re-cated in ver-sion v3.4) Lift chart data source. Ch
eck
[706]
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\T1/qtm/m/n/10 [str] (Dep-re-cated in ver-sion v3.4) Lift chart data source. Ch
eck

Underfull \hbox (badness 10000) in paragraph at lines 69267--69272
\T1/qtm/m/n/10 [str] (Dep-re-cated in ver-sion v3.4) Roc Curve data source. Che
ck
[707]
Underfull \hbox (badness 10000) in paragraph at lines 69315--69322
\T1/qtm/m/n/10 [str] (Dep-re-cated in ver-sion v3.4) ROC curve data source. Che
ck
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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 71098--71103
[][]\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
[723] [724] [725]
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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 71453--71458
[][]\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
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\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
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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 74517--74522
[][]\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
[753] [754] [755] [756] [757] [758] [759]
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\T1/qtm/m/n/10 of fea-tures with a mono-ton-i-cally de-creas-ing re-la-tion-shi
p to the tar-get. Pass-

Underfull \hbox (badness 10000) in paragraph at lines 75178--75184
\T1/qtm/m/n/10 ing \T1/txtt/m/n/10 None \T1/qtm/m/n/10 dis-ables de-creas-ing m
ono-tonic-ity con-straint. De-fault (\T1/txtt/m/n/10 dr.enums.

Underfull \hbox (badness 10000) in paragraph at lines 75223--75228
[]\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 75223--75228
[][]\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
[760] [761] [762] [763] [764] [765] [766]
Overfull \hbox (3.26418pt too wide) in paragraph at lines 76153--76153
\T1/qtm/m/it/10 low_partial_history_time_series_predictions=False\T1/qtm/m/n/10
 , 
[767]
Underfull \hbox (badness 10000) in paragraph at lines 76163--76166
[]\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 76173--76176
[]\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 76183--76187
\T1/qtm/m/n/10 [str] one of \T1/txtt/m/n/10 datarobot.enums.DATETIME_AUTOPILOT_
DATA_SELECTION_METHOD\T1/qtm/m/n/10 .

Underfull \hbox (badness 10000) in paragraph at lines 76192--76198
\T1/qtm/m/n/10 [datetime.datetime or None] The start date of hold-out scor-ing 
data. If
[768] [769] [770] [771]
Underfull \hbox (badness 10000) in paragraph at lines 76476--76481
[]\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 ,
[772] [773] [774]
Underfull \hbox (badness 10000) in paragraph at lines 76703--76707
\T1/qtm/m/n/10 [str] one of \T1/txtt/m/n/10 datarobot.enums.DATETIME_AUTOPILOT_
DATA_SELECTION_METHOD\T1/qtm/m/n/10 .
[775] [776] [777] [778] [779] [780]
Underfull \hbox (badness 5563) in paragraph at lines 77332--77341
\T1/qtm/m/n/10 proach for spec-i-fy-ing back-tests (\T1/txtt/m/n/10 gap_duratio
n\T1/qtm/m/n/10 , \T1/txtt/m/n/10 validation_start_date\T1/qtm/m/n/10 , and
[781] [782]
Underfull \hbox (badness 10000) in paragraph at lines 77530--77533
[]\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 77530--77533
\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.
[783] [784]
Underfull \hbox (badness 10000) in paragraph at lines 77750--77759
\T1/qtm/m/n/10 [bool] De-fault \T1/txtt/m/n/10 False\T1/qtm/m/n/10 . If \T1/txt
t/m/n/10 False\T1/qtm/m/n/10 , will use a duration-based ap-proach

Underfull \hbox (badness 10000) in paragraph at lines 77750--77759
\T1/qtm/m/n/10 for spec-i-fy-ing back-tests (\T1/txtt/m/n/10 gap_duration\T1/qt
m/m/n/10 , \T1/txtt/m/n/10 validation_start_date\T1/qtm/m/n/10 , and

Underfull \hbox (badness 10000) in paragraph at lines 77750--77759
\T1/qtm/m/n/10 ing back-tests (\T1/txtt/m/n/10 primary_training_start_date\T1/q
tm/m/n/10 , \T1/txtt/m/n/10 primary_training_end_date\T1/qtm/m/n/10 ,
[785] [786] [787] [788] [789] [790] [791] [792] [793] [794] [795] [796]
[797] [798] [799]
Underfull \hbox (badness 10000) in paragraph at lines 79443--79446
[]\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 79448--79451
[]\T1/qtm/m/n/10 Com-pute pre-dic-tions for the model and dataset via \T1/txtt/
m/n/10 datarobot.Model.
[800]
Underfull \hbox (badness 6708) in paragraph at lines 79520--79526
\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 79520--79526
\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 79536--79539
[]\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 79541--79544
[]\T1/qtm/m/n/10 Com-pute pre-dic-tions for the model and dataset via \T1/txtt/
m/n/10 datarobot.Model.
[801] [802] [803]
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\T1/qtm/m/it/10 tion_explanations=None\T1/qtm/m/n/10 , 

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\T1/qtm/m/it/10 justed_prediction=None\T1/qtm/m/n/10 , 

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\T1/qtm/m/it/10 justed_prediction_values=None\T1/txtt/m/n/10 )|  
[804]
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\T1/qtm/m/it/10 tion_explanations_record_location=None\T1/qtm/m/n/10 , 

Overfull \hbox (5.23384pt too wide) in paragraph at lines 80068--80068
\T1/qtm/m/it/10 ment_method=None\T1/txtt/m/n/10 )|  
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Underfull \hbox (badness 10000) in paragraph at lines 81942--81945
[]\T1/qtm/m/n/10 Project.list(search_params={`project_name': `red'}) >>> [Proje
ct(`Prediction Time'),
[824] [825] [826]
(/usr/share/texlive/texmf-dist/tex/latex/fontawesome5/ufontawesomefree2.fd)
[827]
Underfull \hbox (badness 10000) in paragraph at lines 82323--82326
\T1/qtm/m/n/10 [ClassMappingAggregationSettings, op-tional] In-stance of \T1/tx
tt/m/n/10 datarobot.helpers.
[828] [829]
Underfull \hbox (badness 10000) in paragraph at lines 82552--82560
\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 82552--82560
\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 82552--82560
\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 82552--82560
\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

[830] [831] [832] [833] [834]
Underfull \hbox (badness 10000) in paragraph at lines 82961--82964
\T1/qtm/m/n/10 Raised if \T1/txtt/m/n/10 forecast_point \T1/qtm/m/n/10 or \T1/t
xtt/m/n/10 predictions_start_date \T1/qtm/m/n/10 and
[835] [836] [837] [838] [839] [840] [841] [842] [843] [844] [845] [846]
[847] [848]
Underfull \hbox (badness 5592) in paragraph at lines 84381--84387
\T1/qtm/m/n/10 of fea-tures with a mono-ton-i-cally de-creas-ing re-la-tion-shi
p to the tar-get. Pass-

Underfull \hbox (badness 10000) in paragraph at lines 84381--84387
\T1/qtm/m/n/10 ing \T1/txtt/m/n/10 None \T1/qtm/m/n/10 dis-ables de-creas-ing m
ono-tonic-ity con-straint. De-fault (\T1/txtt/m/n/10 dr.enums.

Underfull \hbox (badness 10000) in paragraph at lines 84456--84461
[]\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 84456--84461
[][]\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
[849] [850] [851] [852] [853] [854] [855] [856]
Underfull \hbox (badness 10000) in paragraph at lines 85279--85284
\T1/qtm/m/n/10 (New in ver-sion v2.23) one of \T1/txtt/m/n/10 datarobot.enums.

Underfull \hbox (badness 10000) in paragraph at lines 85279--85284
\T1/txtt/m/n/10 DATETIME_AUTOPILOT_DATA_SAMPLING_METHOD\T1/qtm/m/n/10 . Ap-pli-
ca-ble for OTV projects

Underfull \hbox (badness 10000) in paragraph at lines 85337--85343
\T1/qtm/m/n/10 (New in ver-sion v2.24) Met-ric to use for cal-cu-lat-ing fair-

Underfull \hbox (badness 10000) in paragraph at lines 85337--85343
\T1/qtm/m/n/10 ness. Can be one of \T1/txtt/m/n/10 proportionalParity\T1/qtm/m/
n/10 , \T1/txtt/m/n/10 equalParity\T1/qtm/m/n/10 ,

Underfull \hbox (badness 10000) in paragraph at lines 85337--85343
\T1/txtt/m/n/10 predictionBalance\T1/qtm/m/n/10 , \T1/txtt/m/n/10 trueFavorable
AndUnfavorableRateParity \T1/qtm/m/n/10 or
[857] [858] [859]
Underfull \hbox (badness 10000) in paragraph at lines 85521--85525
\T1/qtm/m/n/10 [PartitioningMethod, op-tional] An in-stance of \T1/txtt/m/n/10 
datarobot.helpers.
[860] [861]
Underfull \hbox (badness 10000) in paragraph at lines 85814--85816
\T1/qtm/m/n/10 If value of \T1/txtt/m/n/10 variable_type \T1/qtm/m/n/10 is not 
from \T1/txtt/m/n/10 datarobot.enums.
[862] [863] [864]
Underfull \hbox (badness 10000) in paragraph at lines 86103--86106
\T1/qtm/m/n/10 In-stance of the Date-timePar-ti-tion-ing de-fined in \T1/txtt/m
/n/10 datarobot.helpers.
[865] [866] [867]
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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 [
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\T1/qtm/m/n/10 [Optional[RegisteredModelVersionsListFilters]] A Reg-is-tered-Mo
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\T1/qtm/m/n/10 Re-trieve a sin-gle sec-ondary dataset con-fig-u-ra-tion for a g
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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 ,

Underfull \hbox (badness 10000) in paragraph at lines 100384--100388
\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.

Underfull \hbox (badness 5578) in paragraph at lines 100384--100388
\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.
[995]
Underfull \hbox (badness 10000) in paragraph at lines 100429--100431
[]\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
[996]
Underfull \hbox (badness 10000) in paragraph at lines 100507--100509
[]\T1/qtm/m/n/10 Added the pa-ram-e-ter \T1/txtt/m/n/10 base_path \T1/qtm/m/n/1
0 to [][]\T1/txtt/m/sl/10 get_encoded_file_contents_from_paths[][] \T1/qtm/m/n/
10 and

Underfull \hbox (badness 10000) in paragraph at lines 100516--100523
[]\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

Underfull \hbox (badness 10000) in paragraph at lines 100543--100545
[]\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.

Underfull \hbox (badness 10000) in paragraph at lines 100563--100565
[]\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.
[997]
Overfull \hbox (27.38004pt too wide) in paragraph at lines 100625--100627
[]\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'

Underfull \hbox (badness 10000) in paragraph at lines 100642--100652
\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 -

Overfull \hbox (74.87483pt too wide) in paragraph at lines 100654--100656
[]\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> 

Underfull \hbox (badness 10000) in paragraph at lines 100662--100665
[]\T1/txtt/m/n/10 datarobot._experimental.models.time_series_wrangling_template
.user_flow_template

Underfull \hbox (badness 10000) in paragraph at lines 100701--100705
[]\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-

Underfull \hbox (badness 10000) in paragraph at lines 100701--100705
\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.
[998]
Underfull \hbox (badness 5105) in paragraph at lines 100711--100718
\T1/qtm/m/n/10 rics. [][]\T1/txtt/m/sl/10 HostedCustomMetric.delete[][] \T1/qtm
/m/n/10 to delete a hosted cus-tom met-ric. [][]\T1/txtt/m/sl/10 HostedCustomMe
tric.

Underfull \hbox (badness 10000) in paragraph at lines 100711--100718
\T1/txtt/m/sl/10 create_from_custom_job[][] \T1/qtm/m/n/10 to cre-ate a hosted 
cus-tom met-ric from ex-ist-ing cus-tom job.

Underfull \hbox (badness 10000) in paragraph at lines 100742--100749
[]\T1/qtm/m/n/10 Added a new class \T1/txtt/m/n/10 EvaluationDatasetConfigurati
on <datarobot._experimental.models.

Underfull \hbox (badness 10000) in paragraph at lines 100742--100749
\T1/txtt/m/n/10 genai.evaluation_dataset_configuration.EvaluationDatasetConfigu
ration> \T1/qtm/m/n/10 for con-fig-u-ra-

Underfull \hbox (badness 10000) in paragraph at lines 100742--100749
\T1/txtt/m/n/10 models.genai.evaluation_dataset_configuration.EvaluationDataset
Configuration.

Underfull \hbox (badness 10000) in paragraph at lines 100742--100749
\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.

Underfull \hbox (badness 10000) in paragraph at lines 100742--100749
\T1/txtt/m/n/10 list <datarobot._experimental.models.genai.evaluation_dataset_c
onfiguration.

Underfull \hbox (badness 10000) in paragraph at lines 100742--100749
\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

Underfull \hbox (badness 10000) in paragraph at lines 100742--100749
\T1/qtm/m/n/10 a Use Case. \T1/txtt/m/n/10 EvaluationDatasetConfiguration.creat
e <datarobot._experimental.

Underfull \hbox (badness 10000) in paragraph at lines 100742--100749
\T1/txtt/m/n/10 models.genai.evaluation_dataset_configuration.EvaluationDataset
Configuration.

Underfull \hbox (badness 10000) in paragraph at lines 100742--100749
\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.

Underfull \hbox (badness 10000) in paragraph at lines 100742--100749
\T1/txtt/m/n/10 update <datarobot._experimental.models.genai.evaluation_dataset
_configuration.

Underfull \hbox (badness 10000) in paragraph at lines 100742--100749
\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.

Underfull \hbox (badness 10000) in paragraph at lines 100742--100749
\T1/txtt/m/n/10 EvaluationDatasetConfiguration.delete <datarobot._experimental.
models.genai.

Underfull \hbox (badness 10000) in paragraph at lines 100742--100749
\T1/txtt/m/n/10 evaluation_dataset_configuration.EvaluationDatasetConfiguration
.delete> \T1/qtm/m/n/10 to delete an

Underfull \hbox (badness 10000) in paragraph at lines 100751--100756
\T1/txtt/m/n/10 genai.evaluation_dataset_metric_aggregation.EvaluationDatasetMe
tricAggregation>

Underfull \hbox (badness 10000) in paragraph at lines 100751--100756
\T1/qtm/m/n/10 for met-ric ag-gre-ga-tion re-sults. \T1/txtt/m/n/10 EvaluationD
atasetMetricAggregation.list

Underfull \hbox (badness 10000) in paragraph at lines 100751--100756
\T1/txtt/m/n/10 <datarobot._experimental.models.genai.evaluation_dataset_metric
_aggregation.

Underfull \hbox (badness 10000) in paragraph at lines 100751--100756
\T1/txtt/m/n/10 EvaluationDatasetMetricAggregation.list> \T1/qtm/m/n/10 to get 
the met-ric ag-gre-ga-tion re-sults.

Underfull \hbox (badness 10000) in paragraph at lines 100751--100756
\T1/txtt/m/n/10 EvaluationDatasetMetricAggregation.create <datarobot._experimen
tal.models.

Underfull \hbox (badness 10000) in paragraph at lines 100751--100756
\T1/txtt/m/n/10 genai.evaluation_dataset_metric_aggregation.EvaluationDatasetMe
tricAggregation.

Underfull \hbox (badness 5345) in paragraph at lines 100751--100756
\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

Underfull \hbox (badness 10000) in paragraph at lines 100751--100756
\T1/txtt/m/n/10 <datarobot._experimental.models.genai.evaluation_dataset_metric
_aggregation.

Underfull \hbox (badness 10000) in paragraph at lines 100758--100761
[]\T1/qtm/m/n/10 Added a new class \T1/txtt/m/n/10 SyntheticEvaluationDataset <
datarobot._experimental.models.genai.

Underfull \hbox (badness 10000) in paragraph at lines 100763--100771
[]\T1/qtm/m/n/10 Added a new class \T1/txtt/m/n/10 SidecarModelMetricValidation
 <datarobot._experimental.models.

Underfull \hbox (badness 10000) in paragraph at lines 100763--100771
\T1/txtt/m/n/10 genai.sidecar_model_metric.SidecarModelMetricValidation> \T1/qt
m/m/n/10 for side-car model met-ric val-i-

Underfull \hbox (badness 10000) in paragraph at lines 100763--100771
\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 100763--100771
\T1/txtt/m/n/10 sidecar_model_metric.SidecarModelMetricValidation.create> \T1/q
tm/m/n/10 to cre-ate a side-car model

Underfull \hbox (badness 10000) in paragraph at lines 100763--100771
\T1/qtm/m/n/10 met-ric val-i-da-tion. \T1/txtt/m/n/10 SidecarModelMetricValidat
ion.list <datarobot._experimental.models.

Underfull \hbox (badness 10000) in paragraph at lines 100763--100771
\T1/qtm/m/n/10 val-i-da-tions. \T1/txtt/m/n/10 SidecarModelMetricValidation.get
 <datarobot._experimental.models.genai.

Underfull \hbox (badness 5050) in paragraph at lines 100763--100771
\T1/qtm/m/n/10 tion. \T1/txtt/m/n/10 SidecarModelMetricValidation.revalidate <d
atarobot._experimental.models.genai.
[999]
Underfull \hbox (badness 10000) in paragraph at lines 100860--100862
[]\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
[1000] [1001]
Underfull \hbox (badness 10000) in paragraph at lines 101038--101040
[][][]\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
[1002]
Underfull \hbox (badness 10000) in paragraph at lines 101115--101118
[]\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.

Underfull \hbox (badness 7344) in paragraph at lines 101115--101118
\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

Underfull \hbox (badness 10000) in paragraph at lines 101176--101178
[]\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.
[1003]
Underfull \hbox (badness 10000) in paragraph at lines 101253--101255
[]\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.

Underfull \hbox (badness 10000) in paragraph at lines 101257--101261
[]\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 101257--101261
\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 101257--101261
\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 101263--101266
[]\T1/qtm/m/n/10 Added a new class \T1/txtt/m/n/10 InsightsConfiguration <datar
obot._experimental.models.genai.
[1004]
Underfull \hbox (badness 10000) in paragraph at lines 101268--101272
\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 101268--101272
\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 101274--101280
\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 101274--101280
\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 101274--101280
\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 101274--101280
\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 101274--101280
\T1/qtm/m/n/10 con-fig-u-ra-tion. \T1/txtt/m/n/10 CostMetricConfiguration.delet
e <datarobot._experimental.models.genai.

Underfull \hbox (badness 10000) in paragraph at lines 101282--101284
[]\T1/qtm/m/n/10 Added a new class \T1/txtt/m/n/10 LLMCostConfiguration <dataro
bot._experimental.models.genai.
[1005]
Underfull \hbox (badness 10000) in paragraph at lines 101440--101442
[]\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 101444--101446
[]\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.
[1006]
Underfull \hbox (badness 10000) in paragraph at lines 101478--101480
[]\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 101478--101480
\T1/txtt/m/n/10 _experimental.models.genai.comparison_prompt.ComparisonPrompt.u
pdate>\T1/qtm/m/n/10 , to up-date a

Underfull \hbox (badness 10000) in paragraph at lines 101546--101548
[]\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.
[1007]
Underfull \hbox (badness 10000) in paragraph at lines 101633--101639
\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 101633--101639
[][]\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 101633--101639
\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 101633--101639
\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.
[1008]
Underfull \hbox (badness 10000) in paragraph at lines 101676--101678
[]\T1/qtm/m/n/10 Added method meth:\T1/txtt/m/n/10 Deployment.get_predictions_v
s_actuals_over_time <datarobot.models.
[1009]
Underfull \hbox (badness 10000) in paragraph at lines 101814--101820
\T1/txtt/m/sl/10 run[][] [][]BatchMonitoringJob.get_status[][] [][]BatchMonitor
ingJob.cancel[][] [][]BatchMonitoringJob.
[1010]
Underfull \hbox (badness 10000) in paragraph at lines 101880--101889
\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 101880--101889
\T1/txtt/m/sl/10 get[][] [][]BatchMonitoringJobDefinition.create[][] [][]BatchM
onitoringJobDefinition.update[][]

Underfull \hbox (badness 10000) in paragraph at lines 101880--101889
[][]\T1/txtt/m/sl/10 BatchMonitoringJobDefinition.delete[][] [][]BatchMonitorin
gJobDefinition.run_on_schedule[][]

Underfull \hbox (badness 10000) in paragraph at lines 101902--101915
\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 101902--101915
[][]\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 101902--101915
\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 101943--101945
[]\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 101947--101949
[]\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 101951--101953
[]\T1/qtm/m/n/10 If the user con-fig-ures the client via env vars, then set the
 env var
[1011]
Underfull \hbox (badness 10000) in paragraph at lines 101960--101962
[]\T1/qtm/m/n/10 Added method meth:\T1/txtt/m/n/10 Deployment.get_predictions_o
ver_time <datarobot.models.Deployment.

Underfull \hbox (badness 10000) in paragraph at lines 102002--102017
\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 102002--102017
[][]\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 102002--102017
[][]\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 102047--102049
[]\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 102071--102073
\T1/txtt/m/sl/10 PredictionExplanations.get_all_as_dataframe()[][] \T1/qtm/m/n/
10 and [][]\T1/txtt/m/sl/10 datarobot.PredictionExplanations.
[1012]
Underfull \hbox (badness 7168) in paragraph at lines 102096--102103
[]\T1/qtm/m/n/10 The pa-ram-e-ters added to both APIs are: : - \T1/txtt/m/n/10 
training_dataset_id \T1/qtm/m/n/10 - \T1/txtt/m/n/10 partition_column \T1/qtm/m
/n/10 -

Underfull \hbox (badness 10000) in paragraph at lines 102173--102176
[]\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 102183--102186
[]\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 102198--102201
[]\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.
[1013]
Underfull \hbox (badness 10000) in paragraph at lines 102203--102206
[]\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 102213--102216
[]\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.
[1014]
Underfull \hbox (badness 10000) in paragraph at lines 102349--102353
[]\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 102349--102353
[][]\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 102355--102360
[]\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 102355--102360
[][]\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 102386--102390
[]\T1/qtm/m/n/10 Added two new meth-ods to the Im-ageAug-men-ta-tion-List class
: [][]\T1/txtt/m/sl/10 ImageAugmentationList.list[][]\T1/qtm/m/n/10 ,
[1015]
Underfull \hbox (badness 10000) in paragraph at lines 102457--102459
[]\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
[1016] [1017]
Underfull \hbox (badness 10000) in paragraph at lines 102726--102729
[]\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 102731--102733
[]\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.
[1018]
Underfull \hbox (badness 10000) in paragraph at lines 102814--102816
[][][]\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 102818--102820
[][][]\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 102850--102852
[]\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 102902--102907
[]\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 102902--102907
\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 -
[1019]
Underfull \hbox (badness 10000) in paragraph at lines 102944--102951
[]\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 102944--102951
[][]\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 102995--103008
\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 102995--103008
\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 102995--103008
\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 102995--103008
\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 102995--103008
\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.
[1020]
Underfull \hbox (badness 10000) in paragraph at lines 103121--103123
[]\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 103139--103142
[]\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
[1021] [1022]
Underfull \hbox (badness 10000) in paragraph at lines 103368--103371
[]\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 ,
[1023]
Underfull \hbox (badness 6268) in paragraph at lines 103463--103466
[]\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 103484--103488
[]\T1/qtm/m/n/10 Func-tion-al-ity: : - [][]\T1/txtt/m/sl/10 datarobot.models.re
store_discarded_features.DiscardedFeaturesInfo.

Underfull \hbox (badness 10000) in paragraph at lines 103495--103499
[]\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 103505--103513
[]\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 103505--103513
\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 103505--103513
\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 103505--103513
\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 103505--103513
\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 103505--103513
[][]\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.
[1024]
Underfull \hbox (badness 10000) in paragraph at lines 103640--103643
[]\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
[1025]
Underfull \hbox (badness 10000) in paragraph at lines 103716--103719
[]\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.
[1026]
Underfull \hbox (badness 10000) in paragraph at lines 103810--103814
[]\T1/qtm/m/n/10 Im-proved per-for-mance when down-load-ing pre-dic-tion datafr
ames us-ing: : - [][]\T1/txtt/m/sl/10 Predictions.

Underfull \hbox (badness 10000) in paragraph at lines 103912--103915
[]\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 103917--103920
[]\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.
[1027] [1028]
Underfull \hbox (badness 7907) in paragraph at lines 104088--104093
[]\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:

Underfull \hbox (badness 10000) in paragraph at lines 104130--104133
[]\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.
[1029]
Underfull \hbox (badness 10000) in paragraph at lines 104206--104211
[]\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 104206--104211
\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 104231--104239
[][]\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 104231--104239
\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.

Underfull \hbox (badness 10000) in paragraph at lines 104256--104261
\T1/txtt/m/n/10 Documentation overview<automated_documentation_overview> \T1/qt
m/m/n/10 and also re-fer to the :ref:\T1/txtt/m/n/10 API

Underfull \hbox (badness 10000) in paragraph at lines 104296--104299
[]\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 104301--104307
[]\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 104301--104307
\T1/txtt/m/sl/10 FeatureAssociationMatrixDetails[][] \T1/qtm/m/n/10 and [][]\T1
/txtt/m/sl/10 datarobot.models.FeatureAssociationFeaturelists[][]
[1030]
Underfull \hbox (badness 10000) in paragraph at lines 104331--104338
[]\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 104331--104338
\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 ,

Underfull \hbox (badness 7814) in paragraph at lines 104345--104351
[]\T1/qtm/m/n/10 class \T1/txtt/m/n/10 ComplianceDocumentation \T1/qtm/m/n/10 w
ill be dep-re-cated in v2.24 and will be re-moved en-tirely in

Underfull \hbox (badness 10000) in paragraph at lines 104405--104408
[]\T1/qtm/m/n/10 Sup-port for List-ing all the sec-ondary dataset con-fig-u-ra-
tion for a given project: : -
[1031]
Underfull \hbox (badness 8170) in paragraph at lines 104452--104455
[]\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 104457--104460
\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
[1032]
Underfull \hbox (badness 10000) in paragraph at lines 104537--104542
[]\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.

Underfull \hbox (badness 10000) in paragraph at lines 104558--104560
[]\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 104580--104583
[]\T1/qtm/m/n/10 Ar-gu-ment \T1/txtt/m/n/10 config \T1/qtm/m/n/10 and \T1/txtt/
m/n/10 supports_regression \T1/qtm/m/n/10 are dep-re-cated : for [][]\T1/txtt/m
/sl/10 datarobot.models.

Underfull \hbox (badness 7326) in paragraph at lines 104585--104588
[]\T1/txtt/m/n/10 CustomInferenceImage \T1/qtm/m/n/10 has been dep-re-cated and
 will be re-moved in v2.24. : [][]\T1/txtt/m/sl/10 datarobot.

Underfull \hbox (badness 10000) in paragraph at lines 104631--104635
[]\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
[1033]
Underfull \hbox (badness 10000) in paragraph at lines 104674--104677
[]\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:
[1034]
Underfull \hbox (badness 10000) in paragraph at lines 104817--104826
[]\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 104828--104835
[]\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.
[1035] [1036]
Underfull \hbox (badness 10000) in paragraph at lines 105028--105032
[]\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

Underfull \hbox (badness 8132) in paragraph at lines 105063--105068
[]\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 105083--105087
[]\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 105083--105087
[][]\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 105107--105109
[]\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 .
[1037] [1038]
Underfull \hbox (badness 10000) in paragraph at lines 105350--105354
[]\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.
[1039]
Underfull \hbox (badness 10000) in paragraph at lines 105418--105422
[]\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 105418--105422
[][]\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 105451--105453
[]\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 105471--105474
[]\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 105508--105510
[]\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

Underfull \hbox (badness 10000) in paragraph at lines 105516--105521
[]\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
[1040]
Underfull \hbox (badness 10000) in paragraph at lines 105598--105600
[]\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 105598--105600
\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
[1041]
Underfull \hbox (badness 7451) in paragraph at lines 105684--105687
[]\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 105684--105687
\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
[1042] [1043]
Underfull \hbox (badness 10000) in paragraph at lines 105888--105897
[]\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 105888--105897
[][]\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.

Underfull \hbox (badness 10000) in paragraph at lines 105927--105929
[][][]\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
[1044] [1045]
Underfull \hbox (badness 10000) in paragraph at lines 106049--106052
[]\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 106068--106073
[]\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 106068--106073
\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 106099--106103
[]\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.
[1046]
Underfull \hbox (badness 10000) in paragraph at lines 106186--106194
[]\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.

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\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

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[]\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.

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[]\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.

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[][][]\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.
[1047]
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[]\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.

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\T1/txtt/m/sl/10 DatetimePartitioning.feature_log_list()[][] \T1/qtm/m/n/10 and
 [][]\T1/txtt/m/sl/10 datarobot.DatetimePartitioning.
[1048]
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[]\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.

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\T1/qtm/m/n/10 re-cated and will be re-moved in 2.14. Use [][]\T1/txtt/m/sl/10 
datarobot.DatetimePartitioningSpecification.
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[]\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.
[1051]
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[]\T1/qtm/m/n/10 When in-ter-act-ing with date-time par-ti-tioned projects, \T1
/txtt/m/n/10 DatetimeModel \T1/qtm/m/n/10 can be used to ac-

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\T1/qtm/m/n/10 cess more in-for-ma-tion spe-cific to mod-els in date-time par-t
i-tioned projects. See :ref:\T1/txtt/m/n/10 the
[1052]
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[]\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,
[1053]
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[]\T1/qtm/m/n/10 (Only rel-e-vant for on-premise users with a Stan-dalone Scor-
ing clus-ter.) Meth-ods
[1054]
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[]\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.
[1055]
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[]\T1/txtt/m/n/10 PredictJob.create \T1/qtm/m/n/10 has been dep-re-cated in fa-
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[]\T1/qtm/m/n/10 In sev-eral places where \T1/txtt/m/n/10 AppPlatformError \T1/
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/txtt/m/n/10 ValueError \T1/qtm/m/n/10 or
[1059]
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[]\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

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[]\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
[1060] [1061] [1062] [1063] [1064] (./datarobot-public-api-client.ind [1065]
[1066] [1067]
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[]\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 ),

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[]\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 ),
[1068] [1069]
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[]\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

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[]\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
[1070]
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[]\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
[1071] [1072] [1073]
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[]\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
[1074] [1075]
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[]\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 ),
[1076]
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[]\T1/txtt/m/n/10 find_anomalous_regions() \T1/qtm/m/n/10 (\T1/qtm/m/it/10 data
robot.models.anomaly_assessment.AnomalyAssessmentPredictionsPreview
[1077] [1078] [1079] [1080] [1081]
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[]\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

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[]\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

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[]\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
[1082]
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[]\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

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[]\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

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[]\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
[1083] [1084] [1085] [1086] [1087]
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[]\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
[1088]
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[]\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-
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[]\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

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[]\T1/txtt/m/n/10 list_available_document_types() \T1/qtm/m/n/10 (\T1/qtm/m/it/
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[]\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
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[]\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
) [1102] (./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
ta from a URL. If you have set

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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
[4]
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[11] [12] [13] [14] [15] [16] [17] [18] [19] [20] [21] [22] [23] [24] [25]
[26] [27] [28] [29] [30] [31] [32]
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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
[33] [34] [35] [36] [37] [38] [39]
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[]\T1/qtm/m/n/10 gap_duration (str): A du-ra-tion string such as those re-turne
d by the [][]\T1/txtt/m/sl/10 partitioning_methods.
[40]
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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
 the same date for both \T1/txtt/m/n/10 primary_training_end_date \T1/qtm/m/n/1
0 and

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[]\T1/qtm/m/n/10 For date-time par-ti-tioned model you can re-trieve the Ac-cu-
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] [45]
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[][][]\T1/txtt/m/sl/10 datarobot.FeatureSettings[][] \T1/qtm/m/n/10 con-struc-t
or re-ceives \T1/txtt/m/n/10 feature_name \T1/qtm/m/n/10 and set-tings. For now
 set-tings
[46]
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[]\T1/qtm/m/n/10 Enough rows of his-tor-i-cal data must be pro-vided to cover t
he span of the ef-fec-tive Fea-ture Deriva-
[47] [48] [49]
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[]\T1/qtm/m/n/10 Pre-dic-tion in-ter-vals can be cal-cu-lated for a [][]\T1/txt
t/m/sl/10 DatetimeModel[][] \T1/qtm/m/n/10 us-ing the [][]\T1/txtt/m/sl/10 Date
timeModel.
[50] [51]
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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] [72]

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[]\T1/qtm/m/n/10 :::{note} \T1/txtt/m/n/10 PredictionExplanations.get_all_as_da
taframe() \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 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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\T1/qtm/m/it/10 ber_of_incremental_learning_iterations_before_best_model_select
ion=None\T1/qtm/m/n/10 , 
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\T1/qtm/m/n/10 (New in ver-sion v2.23) one of \T1/txtt/m/n/10 datarobot.enums.

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\T1/txtt/m/n/10 predictionBalance\T1/qtm/m/n/10 , \T1/txtt/m/n/10 trueFavorable
AndUnfavorableRateParity \T1/qtm/m/n/10 or
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\T1/qtm/m/it/10 **record_kwargs\T1/txtt/m/n/10 )|  
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\T1/qtm/m/n/10 [string] The URL for the pre-dic-tion dataset (e.g.:

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\T1/qtm/m/n/10 [string] The URL for the scored dataset (e.g.: \T1/qtm/m/it/10 h
ttps://storage_account.blob.endpoint/container/blob_name\T1/qtm/m/n/10 ) 
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\T1/qtm/m/n/10 [string] The URL for the pre-dic-tion dataset (e.g.:

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\T1/qtm/m/n/10 [string] The URL for the scored dataset (e.g.: \T1/qtm/m/it/10 h
ttp(s)://storage.googleapis.com/[bucket]/[object]\T1/qtm/m/n/10 ) 
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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 mlpkg_file_contents=None\T1/txtt/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.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.ANOMALY\T1/qtm/m/n/10 ,

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\T1/qtm/m/it/10 datarobot.TARGET_TYPE.UNSTRUCTURED \T1/qtm/m/n/10 or \T1/qtm/m/
it/10 datarobot.TARGET_TYPE.ANOMALY
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\T1/qtm/m/n/10 De-ter-mines whether the given cus-tom model is iso-lated, or ca
n 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/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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n ac-cess the

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\T1/qtm/m/n/10 the type of the im-age, ei-ther CUS-TOM_MODEL_IMAGE_TYPE.CUSTOM_
MODEL_IMAGE

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s model or CUS-

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n 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
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t one of
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t one of

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tom model ver-sion. :rtype:

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ver-sion. :rtype:
[330]
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\T1/qtm/m/n/10 Re-trieve in-for-ma-tion about a cus-tom model ver-sion's de-pen
-dency build :rtype:

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\T1/qtm/m/n/10 Start the de-pen-dency build for a cus-tom model ver-sion de-pen
-dency build :rtype:
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\T1/qtm/m/n/10 build sta-tus of 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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\T1/qtm/m/n/10 whether anomaly pre-dic-tions should be cal-i-brated to be be-tw
een 0

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\T1/qtm/m/n/10 and 1 by DR. only ap-plies to cus-tom es-ti-ma-tors with tar-get
 type
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\T1/qtm/m/it/10 only_matched_predictions=None\T1/qtm/m/n/10 , 
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\T1/qtm/m/n/10 [str] Op-tional. The full JDBC URL (for ex-am-ple:

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\T1/qtm/m/n/10 [str] Op-tional. The iden-ti-fier of the Con-nec-tor. if the typ
e is Data-S-tore-

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\T1/qtm/m/n/10 [str] Op-tional. The full JDBC URL (for ex-am-ple:
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\T1/qtm/m/n/10 SCHEMA . TABLE _ NAME$[][]' - `[][]$jdbc : DATA _ SOURCE _ GIVEN
 _ NAME$[][]/<query>' - for
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\T1/qtm/m/n/10 The res-o-lu-tion that is used for bin-ning. One of \T1/txtt/m/n
/10 datarobot.enums.
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\T1/qtm/m/n/10 The res-o-lu-tion that is used for bin-ning. One of \T1/txtt/m/n
/10 datarobot.enums.
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\T1/qtm/m/n/10 The res-o-lu-tion that is used for bin-ning. One of \T1/txtt/m/n
/10 datarobot.enums.
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\T1/qtm/m/n/10 [list] To cre-ate or up-date ex-ist-ing seg-ment anal-y-sis at-t
ributes, see
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\T1/qtm/m/n/10 [bool] If pre-dic-tions data col-lec-tion is en-abled for this d
e-ploy-

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\T1/qtm/m/n/10 ment. To up-date ex-ist-ing `'pre-dic-tions_data_collection'' se
t-tings, see

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\T1/qtm/m/n/10 [bool] If tar-get pre-dic-tion_warning is en-abled for this de-p
loy-ment.

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\T1/qtm/m/n/10 To cre-ate or up-date ex-ist-ing `'pre-dic-tion_warning'' set-ti
ngs, see
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\T1/qtm/m/n/10 Re-trieve drift in-for-ma-tion for de-ploy-ment's fea-tures over
 a cer-tain time pe-riod. :rtype:

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\T1/qtm/m/n/10 Re-trieve stats of de-ploy-ment's pre-dic-tion re-sponse over a 
cer-tain time pe-riod. :rtype:
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\T1/qtm/m/n/10 Re-trieve drift in-for-ma-tion for de-ploy-ment's fea-tures over
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\T1/qtm/m/it/10 tected_feature=None\T1/qtm/m/n/10 , 

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\T1/qtm/m/it/10 ness_threshold=None\T1/qtm/m/n/10 , 

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\T1/qtm/m/it/10 model_package_id=None\T1/qtm/m/n/10 , 

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\T1/qtm/m/it/10 tual_target_value=None\T1/qtm/m/n/10 , 
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\T1/qtm/m/it/10 ment_page_width\T1/qtm/m/n/10 , 

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\T1/qtm/m/it/10 ment_page_height\T1/qtm/m/n/10 , 

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\T1/qtm/m/it/10 project_id\T1/qtm/m/n/10 , 

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\T1/qtm/m/it/10 log_version_id\T1/qtm/m/n/10 , 

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\T1/qtm/m/it/10 time_partition_column\T1/qtm/m/n/10 , 

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\T1/qtm/m/it/10 is_external_baseline_dataset_valid\T1/qtm/m/n/10 , 

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\T1/qtm/m/it/10 tests=None\T1/qtm/m/n/10 , 

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\T1/qtm/m/it/10 sage=None\T1/txtt/m/n/10 )|  
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[]\T1/qtm/m/n/10 {`key':'DataRobot', `sum-mary':{`min':0, `max':29815.0, `std-D
ev':6498.029,
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[]\T1/qtm/m/n/10 {`key':'DataRobot', `sum-mary':{`min':0, `max':29815.0, `std-D
ev':6498.029,
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[]\T1/qtm/m/n/10 E.g. The prob-a-bil-ity P(A=0,B=1) can be re-trieved via:

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\T1/txtt/m/n/10 pairwise_joint_probabilities.statistic_dataframes[(0,1)].loc[\T
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[482]
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\T1/qtm/m/n/10 [list(dict)] List of con-di-tional prob-a-bil-ity val-ues with a
 schema de-scribed as

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[]\T1/qtm/m/n/10 E.g. The prob-a-bil-ity P(A=0|B=1) can be re-trieved via:

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\T1/txtt/m/n/10 pairwise_conditional_probabilities.statistic_dataframes[(0,1)].

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\T1/qtm/m/n/10 [enums.FEATURE_ASSOCIATION_METRIC] The name of a met-ric to

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\T1/qtm/m/n/10 get pair-wise data for. Since `v2.19' this is op-tional and de-f
aults to

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\T1/qtm/m/n/10 [enums.FEATURE_ASSOCIATION_TYPE] The type of de-pen-

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\T1/qtm/m/n/10 dence for the data. Since `v2.19' this is op-tional and de-fault
s to
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[]\T1/qtm/m/it/10 ff_metadata_datetime_per_backtest\T1/txtt/m/n/10 )|  
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\T1/qtm/m/it/10 prompt_column_name\T1/qtm/m/n/10 , 
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\T1/qtm/m/it/10 model_id\T1/qtm/m/n/10 , 

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\T1/qtm/m/it/10 tion_status\T1/qtm/m/n/10 , 

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\T1/qtm/m/it/10 ment_access_data\T1/qtm/m/n/10 , 

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\T1/qtm/m/it/10 ation_date\T1/qtm/m/n/10 , 

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\T1/qtm/m/it/10 ror_message\T1/qtm/m/n/10 , 

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\T1/qtm/m/it/10 ment_name\T1/qtm/m/n/10 , 

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\T1/qtm/m/it/10 use_case_id\T1/qtm/m/n/10 , 

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0 impactNormalized\T1/qtm/m/n/10 , and \T1/txtt/m/n/10 impactUnnormalized\T1/qt
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\T1/qtm/m/n/10 [str] (Dep-re-cated in ver-sion v3.4) ROC curve data source. Che
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/txtt/m/sl/10 Project.analyze_and_model[][] \T1/qtm/m/n/10 via the

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[]\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 ,

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\T1/qtm/m/n/10 [str] one of \T1/txtt/m/n/10 datarobot.enums.DATETIME_AUTOPILOT_
DATA_SELECTION_METHOD\T1/qtm/m/n/10 .

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\T1/qtm/m/n/10 [datetime.datetime or None] The start date of hold-out scor-ing 
data. If
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[]\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 ,
[772] [773] [774]
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\T1/qtm/m/n/10 [str] one of \T1/txtt/m/n/10 datarobot.enums.DATETIME_AUTOPILOT_
DATA_SELECTION_METHOD\T1/qtm/m/n/10 .
[775] [776] [777] [778] [779] [780]
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\T1/qtm/m/n/10 proach for spec-i-fy-ing back-tests (\T1/txtt/m/n/10 gap_duratio
n\T1/qtm/m/n/10 , \T1/txtt/m/n/10 validation_start_date\T1/qtm/m/n/10 , and
[781] [782]
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[]\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 77530--77533
\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.
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Underfull \hbox (badness 10000) in paragraph at lines 77750--77759
\T1/qtm/m/n/10 [bool] De-fault \T1/txtt/m/n/10 False\T1/qtm/m/n/10 . If \T1/txt
t/m/n/10 False\T1/qtm/m/n/10 , will use a duration-based ap-proach

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\T1/qtm/m/n/10 for spec-i-fy-ing back-tests (\T1/txtt/m/n/10 gap_duration\T1/qt
m/m/n/10 , \T1/txtt/m/n/10 validation_start_date\T1/qtm/m/n/10 , and

Underfull \hbox (badness 10000) in paragraph at lines 77750--77759
\T1/qtm/m/n/10 ing back-tests (\T1/txtt/m/n/10 primary_training_start_date\T1/q
tm/m/n/10 , \T1/txtt/m/n/10 primary_training_end_date\T1/qtm/m/n/10 ,
[785] [786] [787] [788] [789] [790] [791] [792] [793] [794] [795] [796]
[797] [798] [799]
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[]\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.

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[]\T1/qtm/m/n/10 Com-pute pre-dic-tions for the model and dataset via \T1/txtt/
m/n/10 datarobot.Model.
[800]
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\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

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\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,

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[]\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 79541--79544
[]\T1/qtm/m/n/10 Com-pute pre-dic-tions for the model and dataset via \T1/txtt/
m/n/10 datarobot.Model.
[801] [802] [803]
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\T1/qtm/m/it/10 tion_explanations=None\T1/qtm/m/n/10 , 

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\T1/qtm/m/it/10 justed_prediction=None\T1/qtm/m/n/10 , 

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\T1/qtm/m/it/10 justed_prediction_values=None\T1/txtt/m/n/10 )|  
[804]
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\T1/qtm/m/it/10 tion_explanations_record_location=None\T1/qtm/m/n/10 , 

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\T1/qtm/m/it/10 ment_method=None\T1/txtt/m/n/10 )|  
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Underfull \hbox (badness 10000) in paragraph at lines 81942--81945
[]\T1/qtm/m/n/10 Project.list(search_params={`project_name': `red'}) >>> [Proje
ct(`Prediction Time'),
[824] [825] [826]
(/usr/share/texlive/texmf-dist/tex/latex/fontawesome5/ufontawesomefree2.fd)
[827]
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\T1/qtm/m/n/10 [ClassMappingAggregationSettings, op-tional] In-stance of \T1/tx
tt/m/n/10 datarobot.helpers.
[828] [829]
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\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 
,

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\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-

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\T1/qtm/m/n/10 tributes are ab-sent and could be re-trieved from the in-di-vid-
ual model level:

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\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

[830] [831] [832] [833] [834]
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\T1/qtm/m/n/10 Raised if \T1/txtt/m/n/10 forecast_point \T1/qtm/m/n/10 or \T1/t
xtt/m/n/10 predictions_start_date \T1/qtm/m/n/10 and
[835] [836] [837] [838] [839] [840] [841] [842] [843] [844] [845] [846]
[847] [848]
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\T1/qtm/m/n/10 of fea-tures with a mono-ton-i-cally de-creas-ing re-la-tion-shi
p to the tar-get. Pass-

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\T1/qtm/m/n/10 ing \T1/txtt/m/n/10 None \T1/qtm/m/n/10 dis-ables de-creas-ing m
ono-tonic-ity con-straint. De-fault (\T1/txtt/m/n/10 dr.enums.

Underfull \hbox (badness 10000) in paragraph at lines 84456--84461
[]\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 84456--84461
[][]\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
[849] [850] [851] [852] [853] [854] [855] [856]
Underfull \hbox (badness 10000) in paragraph at lines 85279--85284
\T1/qtm/m/n/10 (New in ver-sion v2.23) one of \T1/txtt/m/n/10 datarobot.enums.

Underfull \hbox (badness 10000) in paragraph at lines 85279--85284
\T1/txtt/m/n/10 DATETIME_AUTOPILOT_DATA_SAMPLING_METHOD\T1/qtm/m/n/10 . Ap-pli-
ca-ble for OTV projects

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\T1/qtm/m/n/10 (New in ver-sion v2.24) Met-ric to use for cal-cu-lat-ing fair-

Underfull \hbox (badness 10000) in paragraph at lines 85337--85343
\T1/qtm/m/n/10 ness. Can be one of \T1/txtt/m/n/10 proportionalParity\T1/qtm/m/
n/10 , \T1/txtt/m/n/10 equalParity\T1/qtm/m/n/10 ,

Underfull \hbox (badness 10000) in paragraph at lines 85337--85343
\T1/txtt/m/n/10 predictionBalance\T1/qtm/m/n/10 , \T1/txtt/m/n/10 trueFavorable
AndUnfavorableRateParity \T1/qtm/m/n/10 or
[857] [858] [859]
Underfull \hbox (badness 10000) in paragraph at lines 85521--85525
\T1/qtm/m/n/10 [PartitioningMethod, op-tional] An in-stance of \T1/txtt/m/n/10 
datarobot.helpers.
[860] [861]
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\T1/qtm/m/n/10 If value of \T1/txtt/m/n/10 variable_type \T1/qtm/m/n/10 is not 
from \T1/txtt/m/n/10 datarobot.enums.
[862] [863] [864]
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\T1/qtm/m/n/10 In-stance of the Date-timePar-ti-tion-ing de-fined in \T1/txtt/m
/n/10 datarobot.helpers.
[865] [866] [867]
Underfull \hbox (badness 10000) in paragraph at lines 86555--86562
[]\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
[868] [869] [870] [871] [872]
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\T1/qtm/m/it/10 time_partition_column\T1/qtm/m/n/10 , 

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\T1/qtm/m/it/10 series_id_column=None\T1/qtm/m/n/10 , 

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\T1/qtm/m/it/10 rolling_most_frequent_udf=None\T1/txtt/m/n/10 )|  

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\T1/qtm/m/it/10 time_partition_column\T1/qtm/m/n/10 , 

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\T1/qtm/m/it/10 series_id_column=None\T1/qtm/m/n/10 , 

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\T1/qtm/m/it/10 rolling_median_udf=None\T1/txtt/m/n/10 )|  

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\T1/qtm/m/it/10 known_in_advance_columns=None\T1/qtm/m/n/10 , 

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\T1/qtm/m/it/10 rolling_median_udf=None\T1/qtm/m/n/10 , 

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\T1/qtm/m/it/10 rolling_most_frequent_udf=None\T1/qtm/m/n/10 , 
[873]
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[]\T1/qtm/m/it/10 datetime_partition_column\T1/qtm/m/n/10 , 

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\T1/qtm/m/it/10 series_id_column=None\T1/qtm/m/n/10 , 

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\T1/qtm/m/it/10 lected_series=None\T1/txtt/m/n/10 )|  
[874] [875] [876] [877]
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\T1/qtm/m/n/10 [Optional[RegisteredModelVersionsListFilters]] A Reg-is-tered-Mo
d-elVer-sion-sList-Fil-ters
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\T1/qtm/m/it/10 rently_deployed\T1/qtm/m/n/10 , 

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\T1/qtm/m/it/10 tered_model_version\T1/qtm/m/n/10 , 

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\T1/qtm/m/it/10 first_deployed_at=None\T1/qtm/m/n/10 , 

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\T1/qtm/m/it/10 first_deployed_by=None\T1/qtm/m/n/10 , 

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\T1/qtm/m/it/10 tion_environment=None\T1/txtt/m/n/10 )|  
[883]
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\T1/qtm/m/it/10 ble_with_leaderboard_model_id=None\T1/qtm/m/n/10 , 

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\T1/qtm/m/it/10 ble_with_model_package_id=None\T1/qtm/m/n/10 , 

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\T1/qtm/m/it/10 for_challenger=None\T1/qtm/m/n/10 , 

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\T1/qtm/m/it/10 tion_threshold=None\T1/qtm/m/n/10 , 

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\T1/qtm/m/it/10 tion_environment_id=None\T1/qtm/m/n/10 , 
[884]
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\T1/qtm/m/it/10 ble_with_leaderboard_model_id=None\T1/qtm/m/n/10 , 

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\T1/qtm/m/it/10 ble_with_model_package_id=None\T1/qtm/m/n/10 , 
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\T1/qtm/m/n/10 Time unit of the fea-ture deriva-tion win-dow. One of \T1/txtt/m
/n/10 datarobot.enums.

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\T1/qtm/m/n/10 Time unit of the pre-dic-tion point round-ing. One of \T1/txtt/m
/n/10 datarobot.enums.

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\T1/qtm/m/n/10 Time unit of the fea-ture deriva-tion win-dow. One of \T1/txtt/m
/n/10 datarobot.enums.
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\T1/qtm/m/n/10 Time unit of the fea-ture deriva-tion win-dow. One of \T1/txtt/m
/n/10 datarobot.enums.
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\T1/qtm/m/n/10 Re-trieve a sin-gle sec-ondary dataset con-fig-u-ra-tion for a g
iven id :rtype:
[906]
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\T1/qtm/m/it/10 not_added_to_menu=None\T1/qtm/m/n/10 , 
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\T1/qtm/m/it/10 **kwargs\T1/txtt/m/n/10 )|  

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[]\T1/qtm/m/it/10 id\T1/qtm/m/n/10 , 

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\T1/qtm/m/it/10 name\T1/qtm/m/n/10 , 

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\T1/qtm/m/it/10 role\T1/qtm/m/n/10 , 

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\T1/qtm/m/it/10 share_recipient_type\T1/qtm/m/n/10 , 

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\T1/qtm/m/it/10 **kwargs\T1/txtt/m/n/10 )|  
[943]
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\T1/qtm/m/it/10 info_creator_full_name\T1/qtm/m/n/10 , 

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\T1/qtm/m/it/10 last_modifier_full_name=None\T1/qtm/m/n/10 , 
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[956]
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\T1/qtm/m/it/10 tive_feature_derivation_window_start=None\T1/qtm/m/n/10 , 

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\T1/qtm/m/it/10 tive_feature_derivation_window_end=None\T1/qtm/m/n/10 , 

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\T1/qtm/m/it/10 is_n_clusters_dynamically_determined=None\T1/qtm/m/n/10 , 
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[]\T1/qtm/m/it/10 project_id\T1/qtm/m/n/10 , 

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\T1/qtm/m/it/10 model_id\T1/qtm/m/n/10 , 

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\T1/qtm/m/it/10 user_id\T1/qtm/m/n/10 , 

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\T1/qtm/m/it/10 turelist_id\T1/qtm/m/n/10 , 

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\T1/qtm/m/it/10 items\T1/qtm/m/n/10 , 

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\T1/qtm/m/it/10 early_stopping_rounds\T1/qtm/m/n/10 , 

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\T1/qtm/m/it/10 sam- 

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\T1/qtm/m/it/10 ple_pct=None\T1/qtm/m/n/10 , 

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\T1/qtm/m/it/10 train- 

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\T1/qtm/m/it/10 ing_row_count=None\T1/qtm/m/n/10 , 

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\T1/qtm/m/it/10 score=None\T1/qtm/m/n/10 , 

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\T1/qtm/m/it/10 ric=None\T1/qtm/m/n/10 , 

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\T1/qtm/m/it/10 tal_number_of_chunks=None\T1/qtm/m/n/10 , 

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\T1/qtm/m/it/10 model_number=None\T1/txtt/m/n/10 )|  
[973]
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\T1/qtm/m/it/10 project_starter_chunk_size\T1/qtm/m/n/10 , 

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\T1/qtm/m/it/10 user_chunk_size\T1/qtm/m/n/10 , 

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\T1/qtm/m/it/10 source_definition_id=None\T1/qtm/m/n/10 , 

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\T1/qtm/m/it/10 ing_type=None\T1/txtt/m/n/10 )|  
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[]\T1/qtm/m/it/10 catalog_version_id\T1/qtm/m/n/10 , 

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\T1/qtm/m/it/10 der_by_columns=None\T1/qtm/m/n/10 , 

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[990] [991] [992] [993] [994]
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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.
[995]
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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
[996]
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[]\T1/qtm/m/n/10 Added the pa-ram-e-ter \T1/txtt/m/n/10 base_path \T1/qtm/m/n/1
0 to [][]\T1/txtt/m/sl/10 get_encoded_file_contents_from_paths[][] \T1/qtm/m/n/
10 and

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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.
[997]
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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.
[998]
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\T1/qtm/m/n/10 rics. [][]\T1/txtt/m/sl/10 HostedCustomMetric.delete[][] \T1/qtm
/m/n/10 to delete a hosted cus-tom met-ric. [][]\T1/txtt/m/sl/10 HostedCustomMe
tric.

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\T1/txtt/m/sl/10 create_from_custom_job[][] \T1/qtm/m/n/10 to cre-ate a hosted 
cus-tom met-ric from ex-ist-ing cus-tom job.

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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.
[999]
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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
[1000] [1001]
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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
[1002]
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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.
[1003]
Underfull \hbox (badness 10000) in paragraph at lines 101253--101255
[]\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.

Underfull \hbox (badness 10000) in paragraph at lines 101257--101261
[]\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 101257--101261
\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 101257--101261
\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 101263--101266
[]\T1/qtm/m/n/10 Added a new class \T1/txtt/m/n/10 InsightsConfiguration <datar
obot._experimental.models.genai.
[1004]
Underfull \hbox (badness 10000) in paragraph at lines 101268--101272
\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 101268--101272
\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 101274--101280
\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 101274--101280
\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 101274--101280
\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 101274--101280
\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 101274--101280
\T1/qtm/m/n/10 con-fig-u-ra-tion. \T1/txtt/m/n/10 CostMetricConfiguration.delet
e <datarobot._experimental.models.genai.

Underfull \hbox (badness 10000) in paragraph at lines 101282--101284
[]\T1/qtm/m/n/10 Added a new class \T1/txtt/m/n/10 LLMCostConfiguration <dataro
bot._experimental.models.genai.
[1005]
Underfull \hbox (badness 10000) in paragraph at lines 101440--101442
[]\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 101444--101446
[]\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.
[1006]
Underfull \hbox (badness 10000) in paragraph at lines 101478--101480
[]\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 101478--101480
\T1/txtt/m/n/10 _experimental.models.genai.comparison_prompt.ComparisonPrompt.u
pdate>\T1/qtm/m/n/10 , to up-date a

Underfull \hbox (badness 10000) in paragraph at lines 101546--101548
[]\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.
[1007]
Underfull \hbox (badness 10000) in paragraph at lines 101633--101639
\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 101633--101639
[][]\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 101633--101639
\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 101633--101639
\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.
[1008]
Underfull \hbox (badness 10000) in paragraph at lines 101676--101678
[]\T1/qtm/m/n/10 Added method meth:\T1/txtt/m/n/10 Deployment.get_predictions_v
s_actuals_over_time <datarobot.models.
[1009]
Underfull \hbox (badness 10000) in paragraph at lines 101814--101820
\T1/txtt/m/sl/10 run[][] [][]BatchMonitoringJob.get_status[][] [][]BatchMonitor
ingJob.cancel[][] [][]BatchMonitoringJob.
[1010]
Underfull \hbox (badness 10000) in paragraph at lines 101880--101889
\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 101880--101889
\T1/txtt/m/sl/10 get[][] [][]BatchMonitoringJobDefinition.create[][] [][]BatchM
onitoringJobDefinition.update[][]

Underfull \hbox (badness 10000) in paragraph at lines 101880--101889
[][]\T1/txtt/m/sl/10 BatchMonitoringJobDefinition.delete[][] [][]BatchMonitorin
gJobDefinition.run_on_schedule[][]

Underfull \hbox (badness 10000) in paragraph at lines 101902--101915
\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 101902--101915
[][]\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 101902--101915
\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 101943--101945
[]\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 101947--101949
[]\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 101951--101953
[]\T1/qtm/m/n/10 If the user con-fig-ures the client via env vars, then set the
 env var
[1011]
Underfull \hbox (badness 10000) in paragraph at lines 101960--101962
[]\T1/qtm/m/n/10 Added method meth:\T1/txtt/m/n/10 Deployment.get_predictions_o
ver_time <datarobot.models.Deployment.

Underfull \hbox (badness 10000) in paragraph at lines 102002--102017
\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 102002--102017
[][]\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 102002--102017
[][]\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 102047--102049
[]\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 102071--102073
\T1/txtt/m/sl/10 PredictionExplanations.get_all_as_dataframe()[][] \T1/qtm/m/n/
10 and [][]\T1/txtt/m/sl/10 datarobot.PredictionExplanations.
[1012]
Underfull \hbox (badness 7168) in paragraph at lines 102096--102103
[]\T1/qtm/m/n/10 The pa-ram-e-ters added to both APIs are: : - \T1/txtt/m/n/10 
training_dataset_id \T1/qtm/m/n/10 - \T1/txtt/m/n/10 partition_column \T1/qtm/m
/n/10 -

Underfull \hbox (badness 10000) in paragraph at lines 102173--102176
[]\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 102183--102186
[]\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 102198--102201
[]\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.
[1013]
Underfull \hbox (badness 10000) in paragraph at lines 102203--102206
[]\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 102213--102216
[]\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.
[1014]
Underfull \hbox (badness 10000) in paragraph at lines 102349--102353
[]\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 102349--102353
[][]\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 102355--102360
[]\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 102355--102360
[][]\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 102386--102390
[]\T1/qtm/m/n/10 Added two new meth-ods to the Im-ageAug-men-ta-tion-List class
: [][]\T1/txtt/m/sl/10 ImageAugmentationList.list[][]\T1/qtm/m/n/10 ,
[1015]
Underfull \hbox (badness 10000) in paragraph at lines 102457--102459
[]\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
[1016] [1017]
Underfull \hbox (badness 10000) in paragraph at lines 102726--102729
[]\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 102731--102733
[]\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.
[1018]
Underfull \hbox (badness 10000) in paragraph at lines 102814--102816
[][][]\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 102818--102820
[][][]\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 102850--102852
[]\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 102902--102907
[]\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 102902--102907
\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 -
[1019]
Underfull \hbox (badness 10000) in paragraph at lines 102944--102951
[]\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 102944--102951
[][]\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 102995--103008
\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 102995--103008
\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 102995--103008
\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 102995--103008
\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 102995--103008
\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.
[1020]
Underfull \hbox (badness 10000) in paragraph at lines 103121--103123
[]\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 103139--103142
[]\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
[1021] [1022]
Underfull \hbox (badness 10000) in paragraph at lines 103368--103371
[]\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 ,
[1023]
Underfull \hbox (badness 6268) in paragraph at lines 103463--103466
[]\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 103484--103488
[]\T1/qtm/m/n/10 Func-tion-al-ity: : - [][]\T1/txtt/m/sl/10 datarobot.models.re
store_discarded_features.DiscardedFeaturesInfo.

Underfull \hbox (badness 10000) in paragraph at lines 103495--103499
[]\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 103505--103513
[]\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 103505--103513
\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 103505--103513
\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 103505--103513
\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 103505--103513
\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 103505--103513
[][]\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.
[1024]
Underfull \hbox (badness 10000) in paragraph at lines 103640--103643
[]\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
[1025]
Underfull \hbox (badness 10000) in paragraph at lines 103716--103719
[]\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.
[1026]
Underfull \hbox (badness 10000) in paragraph at lines 103810--103814
[]\T1/qtm/m/n/10 Im-proved per-for-mance when down-load-ing pre-dic-tion datafr
ames us-ing: : - [][]\T1/txtt/m/sl/10 Predictions.

Underfull \hbox (badness 10000) in paragraph at lines 103912--103915
[]\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 103917--103920
[]\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.
[1027] [1028]
Underfull \hbox (badness 7907) in paragraph at lines 104088--104093
[]\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:

Underfull \hbox (badness 10000) in paragraph at lines 104130--104133
[]\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.
[1029]
Underfull \hbox (badness 10000) in paragraph at lines 104206--104211
[]\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 104206--104211
\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 104231--104239
[][]\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 104231--104239
\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.

Underfull \hbox (badness 10000) in paragraph at lines 104256--104261
\T1/txtt/m/n/10 Documentation overview<automated_documentation_overview> \T1/qt
m/m/n/10 and also re-fer to the :ref:\T1/txtt/m/n/10 API

Underfull \hbox (badness 10000) in paragraph at lines 104296--104299
[]\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 104301--104307
[]\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 104301--104307
\T1/txtt/m/sl/10 FeatureAssociationMatrixDetails[][] \T1/qtm/m/n/10 and [][]\T1
/txtt/m/sl/10 datarobot.models.FeatureAssociationFeaturelists[][]
[1030]
Underfull \hbox (badness 10000) in paragraph at lines 104331--104338
[]\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 104331--104338
\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 ,

Underfull \hbox (badness 7814) in paragraph at lines 104345--104351
[]\T1/qtm/m/n/10 class \T1/txtt/m/n/10 ComplianceDocumentation \T1/qtm/m/n/10 w
ill be dep-re-cated in v2.24 and will be re-moved en-tirely in

Underfull \hbox (badness 10000) in paragraph at lines 104405--104408
[]\T1/qtm/m/n/10 Sup-port for List-ing all the sec-ondary dataset con-fig-u-ra-
tion for a given project: : -
[1031]
Underfull \hbox (badness 8170) in paragraph at lines 104452--104455
[]\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 104457--104460
\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
[1032]
Underfull \hbox (badness 10000) in paragraph at lines 104537--104542
[]\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.

Underfull \hbox (badness 10000) in paragraph at lines 104558--104560
[]\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 104580--104583
[]\T1/qtm/m/n/10 Ar-gu-ment \T1/txtt/m/n/10 config \T1/qtm/m/n/10 and \T1/txtt/
m/n/10 supports_regression \T1/qtm/m/n/10 are dep-re-cated : for [][]\T1/txtt/m
/sl/10 datarobot.models.

Underfull \hbox (badness 7326) in paragraph at lines 104585--104588
[]\T1/txtt/m/n/10 CustomInferenceImage \T1/qtm/m/n/10 has been dep-re-cated and
 will be re-moved in v2.24. : [][]\T1/txtt/m/sl/10 datarobot.

Underfull \hbox (badness 10000) in paragraph at lines 104631--104635
[]\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
[1033]
Underfull \hbox (badness 10000) in paragraph at lines 104674--104677
[]\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:
[1034]
Underfull \hbox (badness 10000) in paragraph at lines 104817--104826
[]\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 104828--104835
[]\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.
[1035] [1036]
Underfull \hbox (badness 10000) in paragraph at lines 105028--105032
[]\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

Underfull \hbox (badness 8132) in paragraph at lines 105063--105068
[]\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 105083--105087
[]\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 105083--105087
[][]\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 105107--105109
[]\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 .
[1037] [1038]
Underfull \hbox (badness 10000) in paragraph at lines 105350--105354
[]\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.
[1039]
Underfull \hbox (badness 10000) in paragraph at lines 105418--105422
[]\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 105418--105422
[][]\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 105451--105453
[]\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 105471--105474
[]\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 105508--105510
[]\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

Underfull \hbox (badness 10000) in paragraph at lines 105516--105521
[]\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
[1040]
Underfull \hbox (badness 10000) in paragraph at lines 105598--105600
[]\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 105598--105600
\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
[1041]
Underfull \hbox (badness 7451) in paragraph at lines 105684--105687
[]\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 105684--105687
\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
[1042] [1043]
Underfull \hbox (badness 10000) in paragraph at lines 105888--105897
[]\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 105888--105897
[][]\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.

Underfull \hbox (badness 10000) in paragraph at lines 105927--105929
[][][]\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
[1044] [1045]
Underfull \hbox (badness 10000) in paragraph at lines 106049--106052
[]\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 106068--106073
[]\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 106068--106073
\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 106099--106103
[]\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.
[1046]
Underfull \hbox (badness 10000) in paragraph at lines 106186--106194
[]\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 106186--106194
\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 106209--106212
[]\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 106219--106221
[]\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.

Underfull \hbox (badness 10000) in paragraph at lines 106261--106265
[][][]\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.
[1047]
Underfull \hbox (badness 10000) in paragraph at lines 106378--106382
[]\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 106378--106382
\T1/txtt/m/sl/10 DatetimePartitioning.feature_log_list()[][] \T1/qtm/m/n/10 and
 [][]\T1/txtt/m/sl/10 datarobot.DatetimePartitioning.
[1048]
Underfull \hbox (badness 10000) in paragraph at lines 106398--106402
[]\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 106424--106428
\T1/qtm/m/n/10 re-cated and will be re-moved in 2.14. Use [][]\T1/txtt/m/sl/10 
datarobot.DatetimePartitioningSpecification.
[1049] [1050]
Underfull \hbox (badness 10000) in paragraph at lines 106688--106691
[]\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.
[1051]
Underfull \hbox (badness 10000) in paragraph at lines 106788--106793
[]\T1/qtm/m/n/10 When in-ter-act-ing with date-time par-ti-tioned projects, \T1
/txtt/m/n/10 DatetimeModel \T1/qtm/m/n/10 can be used to ac-

Underfull \hbox (badness 10000) in paragraph at lines 106788--106793
\T1/qtm/m/n/10 cess more in-for-ma-tion spe-cific to mod-els in date-time par-t
i-tioned projects. See :ref:\T1/txtt/m/n/10 the
[1052]
Underfull \hbox (badness 10000) in paragraph at lines 106871--106873
[]\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,
[1053]
Underfull \hbox (badness 10000) in paragraph at lines 106975--106979
[]\T1/qtm/m/n/10 (Only rel-e-vant for on-premise users with a Stan-dalone Scor-
ing clus-ter.) Meth-ods
[1054]
Underfull \hbox (badness 6268) in paragraph at lines 107090--107094
[]\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.
[1055]
Underfull \hbox (badness 10000) in paragraph at lines 107226--107228
[]\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.
[1056] [1057] [1058]
Underfull \hbox (badness 6016) in paragraph at lines 107570--107574
[]\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
[1059]
Underfull \hbox (badness 10000) in paragraph at lines 107590--107595
[]\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

Underfull \hbox (badness 10000) in paragraph at lines 107661--107664
[]\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
[1060] [1061] [1062] [1063] [1064] (./datarobot-public-api-client.ind [1065]
[1066] [1067]
Underfull \hbox (badness 5548) in paragraph at lines 112--114
[]\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 114--116
[]\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 ),
[1068] [1069]
Underfull \hbox (badness 10000) in paragraph at lines 326--328
[]\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 328--330
[]\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
[1070]
Underfull \hbox (badness 10000) in paragraph at lines 344--346
[]\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
[1071] [1072] [1073]
Underfull \hbox (badness 10000) in paragraph at lines 659--661
[]\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
[1074] [1075]
Overfull \hbox (6.44446pt too wide) in paragraph at lines 808--810
[]\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 ),
[1076]
Underfull \hbox (badness 10000) in paragraph at lines 872--874
[]\T1/txtt/m/n/10 find_anomalous_regions() \T1/qtm/m/n/10 (\T1/qtm/m/it/10 data
robot.models.anomaly_assessment.AnomalyAssessmentPredictionsPreview
[1077] [1078] [1079] [1080] [1081]
Underfull \hbox (badness 10000) in paragraph at lines 1336--1338
[]\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 1338--1340
[]\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 1366--1368
[]\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
[1082]
Underfull \hbox (badness 10000) in paragraph at lines 1415--1417
[]\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 1428--1430
[]\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 1443--1445
[]\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
[1083] [1084] [1085] [1086] [1087]
Underfull \hbox (badness 10000) in paragraph at lines 1886--1888
[]\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
[1088]
Underfull \hbox (badness 10000) in paragraph at lines 1985--1987
[]\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-
[1089] [1090]
Underfull \hbox (badness 10000) in paragraph at lines 2192--2194
[]\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

Underfull \hbox (badness 10000) in paragraph at lines 2199--2201
[]\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
[1091] [1092]
Underfull \hbox (badness 10000) in paragraph at lines 2355--2357
[]\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
[1093] [1094] [1095] [1096] [1097] [1098] [1099] [1100] [1101]
Underfull \hbox (badness 7722) in paragraph at lines 3104--3106
[]\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
) [1102] (./datarobot-public-api-client.aux)

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Output written on datarobot-public-api-client.pdf (1106 pages, 4458874 bytes).
Transcript written on datarobot-public-api-client.log.
Latexmk: Index file 'datarobot-public-api-client.idx' was written
Latexmk: Log file says output to 'datarobot-public-api-client.pdf'
Latexmk: List of undefined refs and citations:
  Label `reference/data/index::doc' multiply defined
Latexmk: Summary of warnings from last run of *latex:
  Latex found 1 multiply defined reference(s)
Collected error summary (may duplicate other messages):
  pdflatex: Command for 'pdflatex' gave return code 1
      Refer to 'datarobot-public-api-client.log' for details
Latexmk: Examining 'datarobot-public-api-client.log'
=== TeX engine is 'pdfTeX'
Latexmk: Errors, in force_mode: so I tried finishing targets