Read the Docs build information
Build id: 2709485
Project: datarobot-public-api-client
Version: early-access
Commit: b56e5f06ecdf2da326c76d0615a3fa45aff6dc57
Date: 2024-12-30T17:57:25.875468Z
State: finished
Success: True


[rtd-command-info] start-time: 2024-12-30T18:01:08.638541Z, end-time: 2024-12-30T18:01:11.902361Z, 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: 2024-12-30T18:01:11.972984Z, end-time: 2024-12-30T18:01:14.840318Z, duration: 2, 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: 2024-12-30T18:01:14.980889Z, end-time: 2024-12-30T18:01:15.725345Z, duration: 0, exit-code: 0
git checkout --force b56e5f06ecdf2da326c76d0615a3fa45aff6dc57
Note: switching to 'b56e5f06ecdf2da326c76d0615a3fa45aff6dc57'.

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 b56e5f0 [BUZZOK-24672]Fix for use case id query parameter (#3435)

[rtd-command-info] start-time: 2024-12-30T18:01:15.788652Z, end-time: 2024-12-30T18:01:15.858153Z, 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: 2024-12-30T18:01:22.941625Z, end-time: 2024-12-30T18:01:23.028361Z, duration: 0, exit-code: 0
asdf global python 3.11.10


[rtd-command-info] start-time: 2024-12-30T18:01:23.450208Z, end-time: 2024-12-30T18:01:24.526101Z, duration: 1, exit-code: 0
python -mvirtualenv $READTHEDOCS_VIRTUALENV_PATH
created virtual environment CPython3.11.10.final.0-64 in 724ms
  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: 2024-12-30T18:01:24.619648Z, end-time: 2024-12-30T18:01:34.388200Z, duration: 9, 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

[rtd-command-info] start-time: 2024-12-30T18:01:34.457661Z, end-time: 2024-12-30T18:01:39.964921Z, duration: 5, exit-code: 0
python -m pip install --upgrade --no-cache-dir sphinx
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Installing collected packages: snowballstemmer, urllib3, sphinxcontrib-serializinghtml, sphinxcontrib-qthelp, sphinxcontrib-jsmath, sphinxcontrib-htmlhelp, sphinxcontrib-devhelp, sphinxcontrib-applehelp, Pygments, packaging, MarkupSafe, imagesize, idna, docutils, charset-normalizer, certifi, babel, alabaster, requests, Jinja2, sphinx
Successfully installed Jinja2-3.1.5 MarkupSafe-3.0.2 Pygments-2.18.0 alabaster-1.0.0 babel-2.16.0 certifi-2024.12.14 charset-normalizer-3.4.1 docutils-0.21.2 idna-3.10 imagesize-1.4.1 packaging-24.2 requests-2.32.3 snowballstemmer-2.2.0 sphinx-8.1.3 sphinxcontrib-applehelp-2.0.0 sphinxcontrib-devhelp-2.0.0 sphinxcontrib-htmlhelp-2.1.0 sphinxcontrib-jsmath-1.0.1 sphinxcontrib-qthelp-2.0.0 sphinxcontrib-serializinghtml-2.0.0 urllib3-2.3.0

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python -m pip install --upgrade --upgrade-strategy only-if-needed --no-cache-dir .[dev]
Processing /home/docs/checkouts/readthedocs.org/user_builds/datarobot-public-api-client/checkouts/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-8.1.8 comm-0.2.2 coverage-7.6.10 databricks-connect-16.0.0 databricks-sdk-0.40.0 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-8.31.0 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-0.11.0 jupyter-lsp-2.2.5 jupyter-server-2.15.0 jupyter-server-terminals-0.5.3 jupyter_contrib_core-0.4.2 jupyter_contrib_nbextensions-0.7.0 jupyter_core-5.7.2 jupyter_highlight_selected_word-0.2.0 jupyter_nbextensions_configurator-0.6.4 jupyterlab-4.3.4 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-3.1.0 mypy-1.0.0 mypy-extensions-1.0.0 myst-parser-4.0.0 nbclient-0.10.2 nbconvert-7.16.4 nbformat-5.10.4 nbsphinx-0.9.6 nest-asyncio-1.6.0 notebook-7.3.2 notebook-shim-0.2.4 numpy-1.26.4 numpydoc-1.7.0 overrides-7.7.0 pandas-2.2.3 pandocfilters-1.5.1 parso-0.8.4 pathspec-0.12.1 pexpect-4.9.0 platformdirs-4.3.6 pluggy-1.5.0 prometheus-client-0.21.1 prompt_toolkit-3.0.48 protobuf-5.29.2 psutil-6.1.1 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: 2024-12-30T18:02:28.724124Z, end-time: 2024-12-30T18:02:28.789702Z, 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: 2024-12-30T18:02:28.856865Z, end-time: 2024-12-30T18:03:38.687116Z, 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)
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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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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: 2024-12-30T18:03:38.765538Z, end-time: 2024-12-30T18:04:12.223974Z, duration: 33, 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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updating environment: 0 added, 1 changed, 0 removed
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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
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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
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    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/external_testset
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  reference/mlops/index
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   reference/mlops/jobs
   reference/mlops/model_registry
   reference/mlops/key_values
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  autodoc/application
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  autodoc/credentials
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  autodoc/data_slices
  autodoc/data_store
  autodoc/database_connectivity
  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
  autodoc/featurelist
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[]\T1/qtm/m/n/10 (Only rel-e-vant for on-premise users with a Stan-dalone Scor-
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[]\T1/qtm/m/n/10 A new im-proved work-flow for pre-dic-tions now sup-ports firs
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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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[]\T1/qtm/m/n/10 For mul-ti-class mod-els, you can get a list of per-class lift
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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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l.3727     ├── american\PYGZus{}bulldog
                                             

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l.3728 ...├── american\PYGZus{}bulldog01.jpg
                                                  

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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.5111 ...gment\PYGZus{}id}\PYG{l+s+s2}{\PYGZdq{}}
                                                  
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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 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
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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 (New in ver-sion v2.24) Met-ric to use for cal-cu-lat-ing fair-

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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 ) 
[238]
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[]\T1/qtm/m/n/10 par-ti-tion : sub-set of train-ing data to score, one of \T1/t
xtt/m/n/10 datarobot.enums.
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\T1/qtm/m/it/10 tinue_on_error=False\T1/qtm/m/n/10 , 

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\T1/qtm/m/it/10 tinue_on_error=False\T1/qtm/m/n/10 , 
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\T1/qtm/m/it/10 tinue_on_error=False\T1/qtm/m/n/10 , 
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\T1/qtm/m/it/10 tered_model_id\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 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 user_provided_id=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 ment_attribute=None\T1/qtm/m/n/10 , 

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\T1/qtm/m/it/10 ment_value=None\T1/txtt/m/n/10 )|  
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\T1/qtm/m/it/10 ment_attribute=None\T1/qtm/m/n/10 , 

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\T1/qtm/m/it/10 ment_value=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/it/10 plate_metric_type\T1/txtt/m/n/10 )|  
[305]
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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 is_geospatial=None\T1/qtm/m/n/10 , 

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

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\T1/qtm/m/it/10 model_package_id=None\T1/qtm/m/n/10 , 
[311]
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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 ,
[312]
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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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\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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\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 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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\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 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 ,
[322]
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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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\T1/qtm/m/n/10 ^^Pfolder/file2.txt^^Q)] or [^^P/home/user/Documents/myModel/fil
e1.txt^^Q,

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

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\T1/qtm/m/n/10 ^^Pfile1.txt^^Q), (^^P/home/user/Documents/myModel/folder/file2.
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e1.txt^^Q,

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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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Underfull \hbox (badness 10000) in paragraph at lines 27611--27615
\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:
[332]
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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:
[376]
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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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[423] [424]
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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
 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 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 able_target_outcome=None\T1/txtt/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 ment_page_width\T1/qtm/m/n/10 , 

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

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\T1/qtm/m/it/10 sponse_column_name\T1/txtt/m/n/10 )|  
[546]
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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 ment_access_data\T1/qtm/m/n/10 , 

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

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

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

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\T1/qtm/m/it/10 pected_response_column_name\T1/txtt/m/n/10 )|  
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\T1/qtm/m/it/10 llm_test_grading_criteria\T1/qtm/m/n/10 , 

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\T1/qtm/m/it/10 is_out_of_the_box_test_configuration\T1/qtm/m/n/10 , 
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[]\T1/qtm/m/it/10 supported_insight_configurations\T1/qtm/m/n/10 , 

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\T1/qtm/m/it/10 datasets_compatibility\T1/txtt/m/n/10 )|  
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\T1/qtm/m/it/10 max_num_prompts=None\T1/qtm/m/n/10 , 

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

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\T1/qtm/m/it/10 tion_dataset_configuration_id=None\T1/qtm/m/n/10 , 
[556]
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\T1/qtm/m/it/10 tion_dataset_configuration_id=None\T1/qtm/m/n/10 , 
[557]
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\T1/qtm/m/it/10 prompt_pipeline_metric_name=None\T1/qtm/m/n/10 , 

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

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

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

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

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

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

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\T1/qtm/m/it/10 sponse_pipeline_template_id=None\T1/txtt/m/n/10 )|  
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\T1/qtm/m/it/10 car_model_metric_validation_id=None\T1/qtm/m/n/10 , 

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\T1/qtm/m/it/10 model_package_registered_model_id=None\T1/txtt/m/n/10 )|  
[561]
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[]\T1/qtm/m/it/10 ootb_metric_configurations\T1/txtt/m/n/10 )|  
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Underfull \hbox (badness 5359) in paragraph at lines 58214--58217
\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 59667--59672
[][]\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
[619] [620] [621] [622] [623] [624] [625]
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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.

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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 60373--60378
[][]\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
[626] [627] [628] [629] [630] [631] [632] [633] [634] [635] [636] [637]
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Underfull \hbox (badness 5359) in paragraph at lines 61827--61830
\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 66476--66481
[][]\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
[679] [680] [681] [682] [683] [684] [685]
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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 67137--67143
\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 67182--67187
[]\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 67182--67187
[][]\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
[686] [687] [688] [689]
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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

Underfull \hbox (badness 5726) in paragraph at lines 67521--67529
\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 67962--67967
[][]\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
[694] [695] [696] [697] [698] [699] [700] [701] [702] [703] [704] [705]
Underfull \hbox (badness 10000) in paragraph at lines 69119--69123
\T1/qtm/m/n/10 [AnomalyOverTimePlotPreview] a [][]\T1/txtt/m/sl/10 AnomalyOverT
imePlotPreview[][] \T1/qtm/m/n/10 rep-re-sent-ing
[706]
Underfull \hbox (badness 10000) in paragraph at lines 69235--69239
\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
[707]
Underfull \hbox (badness 5359) in paragraph at lines 69314--69317
\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
[708]
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\T1/qtm/m/n/10 [str] (Dep-re-cated in ver-sion v3.4) Lift chart data source. Ch
eck
[709]
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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 69602--69607
\T1/qtm/m/n/10 [str] (Dep-re-cated in ver-sion v3.4) Roc Curve data source. Che
ck
[710]
Underfull \hbox (badness 10000) in paragraph at lines 69650--69657
\T1/qtm/m/n/10 [str] (Dep-re-cated in ver-sion v3.4) ROC curve data source. Che
ck
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[723] [724] [725]
Underfull \hbox (badness 10000) in paragraph at lines 71453--71458
[]\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
[726] [727] [728]
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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 71808--71813
[][]\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
[729] [730] [731] [732] [733] [734] [735] [736] [737] [738] [739] [740]
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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 74892--74897
[][]\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
[757] [758] [759] [760] [761] [762] [763]
Underfull \hbox (badness 5592) in paragraph at lines 75553--75559
\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 75553--75559
\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 75598--75603
[]\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 75598--75603
[][]\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
[764] [765] [766] [767] [768] [769] [770]
Overfull \hbox (3.26418pt too wide) in paragraph at lines 76528--76528
\T1/qtm/m/it/10 low_partial_history_time_series_predictions=False\T1/qtm/m/n/10
 , 
[771]
Underfull \hbox (badness 10000) in paragraph at lines 76538--76541
[]\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 76548--76551
[]\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 76558--76562
\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 76567--76573
\T1/qtm/m/n/10 [datetime.datetime or None] The start date of hold-out scor-ing 
data. If
[772] [773] [774] [775]
Underfull \hbox (badness 10000) in paragraph at lines 76851--76856
[]\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 ,
[776] [777] [778]
Underfull \hbox (badness 10000) in paragraph at lines 77078--77082
\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 .
[779] [780] [781] [782] [783] [784]
Underfull \hbox (badness 5563) in paragraph at lines 77707--77716
\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
[785] [786]
Underfull \hbox (badness 10000) in paragraph at lines 77905--77908
[]\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 77905--77908
\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.
[787] [788]
Underfull \hbox (badness 10000) in paragraph at lines 78125--78134
\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 78125--78134
\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 78125--78134
\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 ,
[789] [790] [791] [792] [793] [794] [795] [796] [797] [798] [799] [800]
[801] [802] [803]
Underfull \hbox (badness 10000) in paragraph at lines 79818--79821
[]\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 79823--79826
[]\T1/qtm/m/n/10 Com-pute pre-dic-tions for the model and dataset via \T1/txtt/
m/n/10 datarobot.Model.
[804]
Underfull \hbox (badness 6708) in paragraph at lines 79895--79901
\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 79895--79901
\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 79911--79914
[]\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 79916--79919
[]\T1/qtm/m/n/10 Com-pute pre-dic-tions for the model and dataset via \T1/txtt/
m/n/10 datarobot.Model.
[805] [806] [807]
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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 )|  
[808]
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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 80443--80443
\T1/qtm/m/it/10 ment_method=None\T1/txtt/m/n/10 )|  
[809] [810] [811] [812] [813] [814] [815] [816] [817] [818] [819] [820]
[821] [822] [823] [824] [825] [826] [827]
Underfull \hbox (badness 10000) in paragraph at lines 82317--82320
[]\T1/qtm/m/n/10 Project.list(search_params={`project_name': `red'}) >>> [Proje
ct(`Prediction Time'),
[828] [829] [830]
(/usr/share/texlive/texmf-dist/tex/latex/fontawesome5/ufontawesomefree2.fd)
[831]
Underfull \hbox (badness 10000) in paragraph at lines 82698--82701
\T1/qtm/m/n/10 [ClassMappingAggregationSettings, op-tional] In-stance of \T1/tx
tt/m/n/10 datarobot.helpers.
[832] [833]
Underfull \hbox (badness 10000) in paragraph at lines 82927--82935
\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

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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
[839] [840] [841] [842] [843] [844] [845] [846] [847] [848] [849] [850]
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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.

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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

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[][]\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
[853] [854] [855] [856] [857] [858] [859] [860]
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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 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-

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\T1/qtm/m/n/10 ness. Can be one of \T1/txtt/m/n/10 proportionalParity\T1/qtm/m/
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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/n/10 [PartitioningMethod, op-tional] An in-stance of \T1/txtt/m/n/10 
datarobot.helpers.
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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.
[866] [867] [868]
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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.
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[]\T1/qtm/m/n/10 This is an al-ter-na-tive to pass-ing a spec-i-fi-ca-tion to [
][]\T1/txtt/m/sl/10 Project.analyze_and_model[][] \T1/qtm/m/n/10 via the
[872] [873] [874] [875] [876]
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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 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 , 
[877]
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[]\T1/qtm/m/it/10 datetime_partition_column\T1/qtm/m/n/10 , 

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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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[887]
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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
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\T1/qtm/m/n/10 Time unit of the fea-ture deriva-tion win-dow. One of \T1/txtt/m
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\T1/qtm/m/n/10 Time unit of the fea-ture deriva-tion win-dow. One of \T1/txtt/m
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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:
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[947]
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\T1/qtm/m/it/10 last_modifier_full_name=None\T1/qtm/m/n/10 , 
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[960]
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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 is_n_clusters_dynamically_determined=None\T1/qtm/m/n/10 , 
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[977]
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\T1/qtm/m/it/10 namic_dataset_props=None\T1/qtm/m/n/10 , 

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\T1/qtm/m/it/10 dataset_info=None\T1/qtm/m/n/10 , 
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[]\T1/qtm/m/it/10 expected_chunk_size\T1/qtm/m/n/10 , 

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

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

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

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

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[]\T1/qtm/m/n/10 Add new at-tributes to [][]\T1/txtt/m/sl/10 VectorDatabase[][]
\T1/qtm/m/n/10 : \T1/txtt/m/n/10 parent_id\T1/qtm/m/n/10 , \T1/txtt/m/n/10 fami
ly_id\T1/qtm/m/n/10 , \T1/txtt/m/n/10 metadata_columns\T1/qtm/m/n/10 ,

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

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\T1/txtt/m/sl/10 get_supported_retrieval_settings[][] \T1/qtm/m/n/10 to re-trie
ve sup-ported re-trieval set-tings. [][]\T1/txtt/m/sl/10 VectorDatabase.

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[]\T1/qtm/m/n/10 Up-dated the schema for [][]\T1/txtt/m/sl/10 EvaluationDataset
MetricAggregation[][] \T1/qtm/m/n/10 to in-clude the new at-tributes
[1000]
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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
[1001]
Underfull \hbox (badness 10000) in paragraph at lines 100992--100994
[]\T1/qtm/m/n/10 Dep-re-cated [][]\T1/txtt/m/sl/10 Model.request_fairness_insig
hts[][]\T1/qtm/m/n/10 . Please use [][]\T1/txtt/m/sl/10 Model.

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

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[]\T1/qtm/m/n/10 Up-dated the de-scrip-tion for the pa-ram-e-ter: `num-ber_of_i
ncremental_learning_iterations_before_best_model_selection'
[1002]
Underfull \hbox (badness 10000) in paragraph at lines 101091--101101
\T1/qtm/m/n/10 -[][]\T1/txtt/m/sl/10 DatasetInfo[][] \T1/qtm/m/n/10 -[][]\T1/tx
tt/m/sl/10 DynamicDatasetProps[][] \T1/qtm/m/n/10 -[][]\T1/txtt/m/sl/10 RowsChu
nkDefinition[][] \T1/qtm/m/n/10 -[][]\T1/txtt/m/sl/10 FeaturesChunkDefinition[]
[] \T1/qtm/m/n/10 -

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

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

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

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

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\T1/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

Underfull \hbox (badness 10000) in paragraph at lines 101191--101198
\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.

Underfull \hbox (badness 10000) in paragraph at lines 101191--101198
\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
[1003]
Underfull \hbox (badness 10000) in paragraph at lines 101200--101205
\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

Underfull \hbox (badness 10000) in paragraph at lines 101200--101205
\T1/txtt/m/n/10 <datarobot._experimental.models.genai.evaluation_dataset_metric
_aggregation.

Underfull \hbox (badness 10000) in paragraph at lines 101200--101205
\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.

Underfull \hbox (badness 5345) in paragraph at lines 101200--101205
\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.

Underfull \hbox (badness 10000) in paragraph at lines 101212--101220
\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 101212--101220
\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 101212--101220
\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 101212--101220
\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 101212--101220
\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.
[1004]
Underfull \hbox (badness 10000) in paragraph at lines 101309--101311
[]\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
[1005] [1006]
Underfull \hbox (badness 10000) in paragraph at lines 101487--101489
[][][]\T1/txtt/m/sl/10 RuntimeParameterValue[][] \T1/qtm/m/n/10 to de-fine run-
time pa-ram-e-ter over-ride value, to be as-signed to

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

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\T1/txtt/m/sl/10 score_with_leaderboard_model[][] \T1/qtm/m/n/10 and [][]\T1/tx
tt/m/sl/10 BatchPredictionJob.score[][] \T1/qtm/m/n/10 that au-to-mat-i-cally a
s-signs the
[1007]
Underfull \hbox (badness 10000) in paragraph at lines 101625--101627
[]\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.
[1008]
Underfull \hbox (badness 10000) in paragraph at lines 101702--101704
[]\T1/qtm/m/n/10 Added a new pa-ram-e-ter \T1/txtt/m/n/10 base_environment_vers
ion_id \T1/qtm/m/n/10 to [][]\T1/txtt/m/sl/10 CustomModelVersion.

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

Underfull \hbox (badness 10000) in paragraph at lines 101706--101710
\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 101706--101710
\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 101712--101715
[]\T1/qtm/m/n/10 Added a new class \T1/txtt/m/n/10 InsightsConfiguration <datar
obot._experimental.models.genai.

Underfull \hbox (badness 10000) in paragraph at lines 101717--101721
\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 101717--101721
\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 101723--101729
\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 101723--101729
\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 101723--101729
\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 101723--101729
\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 101723--101729
\T1/qtm/m/n/10 con-fig-u-ra-tion. \T1/txtt/m/n/10 CostMetricConfiguration.delet
e <datarobot._experimental.models.genai.
[1009]
Underfull \hbox (badness 10000) in paragraph at lines 101731--101733
[]\T1/qtm/m/n/10 Added a new class \T1/txtt/m/n/10 LLMCostConfiguration <dataro
bot._experimental.models.genai.
[1010]
Underfull \hbox (badness 10000) in paragraph at lines 101889--101891
[]\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 101893--101895
[]\T1/qtm/m/n/10 Added \T1/txtt/m/n/10 embedding_validation_id \T1/qtm/m/n/10 a
nd \T1/txtt/m/n/10 is_separator_regex \T1/qtm/m/n/10 to \T1/txtt/m/n/10 VectorD
atabase <datarobot.

Underfull \hbox (badness 10000) in paragraph at lines 101927--101929
[]\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 101927--101929
\T1/txtt/m/n/10 _experimental.models.genai.comparison_prompt.ComparisonPrompt.u
pdate>\T1/qtm/m/n/10 , to up-date a
[1011]
Underfull \hbox (badness 10000) in paragraph at lines 101995--101997
[]\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.
[1012]
Underfull \hbox (badness 10000) in paragraph at lines 102082--102088
\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 102082--102088
[][]\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 102082--102088
\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 102082--102088
\T1/qtm/m/n/10 ate a new reg-is-tered model ver-sion from a Leader-board model.
 [][]\T1/txtt/m/sl/10 RegisteredModelVersion.

Underfull \hbox (badness 10000) in paragraph at lines 102125--102127
[]\T1/qtm/m/n/10 Added method meth:\T1/txtt/m/n/10 Deployment.get_predictions_v
s_actuals_over_time <datarobot.models.
[1013] [1014]
Underfull \hbox (badness 10000) in paragraph at lines 102263--102269
\T1/txtt/m/sl/10 run[][] [][]BatchMonitoringJob.get_status[][] [][]BatchMonitor
ingJob.cancel[][] [][]BatchMonitoringJob.

Underfull \hbox (badness 10000) in paragraph at lines 102329--102338
\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 102329--102338
\T1/txtt/m/sl/10 get[][] [][]BatchMonitoringJobDefinition.create[][] [][]BatchM
onitoringJobDefinition.update[][]

Underfull \hbox (badness 10000) in paragraph at lines 102329--102338
[][]\T1/txtt/m/sl/10 BatchMonitoringJobDefinition.delete[][] [][]BatchMonitorin
gJobDefinition.run_on_schedule[][]
[1015]
Underfull \hbox (badness 10000) in paragraph at lines 102351--102364
\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 102351--102364
[][]\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 102351--102364
\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 102392--102394
[]\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 102396--102398
[]\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 102400--102402
[]\T1/qtm/m/n/10 If the user con-fig-ures the client via env vars, then set the
 env var

Underfull \hbox (badness 10000) in paragraph at lines 102409--102411
[]\T1/qtm/m/n/10 Added method meth:\T1/txtt/m/n/10 Deployment.get_predictions_o
ver_time <datarobot.models.Deployment.
[1016]
Underfull \hbox (badness 10000) in paragraph at lines 102451--102466
\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 102451--102466
[][]\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 102451--102466
[][]\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 102496--102498
[]\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 102520--102522
\T1/txtt/m/sl/10 PredictionExplanations.get_all_as_dataframe()[][] \T1/qtm/m/n/
10 and [][]\T1/txtt/m/sl/10 datarobot.PredictionExplanations.

Underfull \hbox (badness 7168) in paragraph at lines 102545--102552
[]\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 -
[1017]
Underfull \hbox (badness 10000) in paragraph at lines 102622--102625
[]\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 102632--102635
[]\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 102647--102650
[]\T1/txtt/m/n/10 Model.get_or_request_feature_fit \T1/qtm/m/n/10 has been re-m
oved. Use [][]\T1/txtt/m/sl/10 Model.

Underfull \hbox (badness 10000) in paragraph at lines 102652--102655
[]\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 102662--102665
[]\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.
[1018]
Underfull \hbox (badness 10000) in paragraph at lines 102798--102802
[]\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 102798--102802
[][]\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 102804--102809
[]\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 102804--102809
[][]\T1/txtt/m/sl/10 DataEngineQueryGenerator.prepare_prediction_dataset_from_c
atalog[][] \T1/qtm/m/n/10 that ap-ply time se-ries
[1019]
Underfull \hbox (badness 10000) in paragraph at lines 102835--102839
[]\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 ,

Underfull \hbox (badness 10000) in paragraph at lines 102906--102908
[]\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
[1020] [1021] [1022]
Underfull \hbox (badness 10000) in paragraph at lines 103175--103178
[]\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 103180--103182
[]\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.

Underfull \hbox (badness 10000) in paragraph at lines 103263--103265
[][][]\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 103267--103269
[][][]\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
[1023]
Underfull \hbox (badness 6364) in paragraph at lines 103299--103301
[]\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 103351--103356
[]\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 103351--103356
\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 -
[1024]
Underfull \hbox (badness 10000) in paragraph at lines 103393--103400
[]\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 103393--103400
[][]\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 103444--103457
\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 103444--103457
\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 103444--103457
\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 103444--103457
\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 103444--103457
\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.
[1025]
Underfull \hbox (badness 10000) in paragraph at lines 103570--103572
[]\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 103588--103591
[]\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
[1026] [1027]
Underfull \hbox (badness 10000) in paragraph at lines 103817--103820
[]\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 ,
[1028]
Underfull \hbox (badness 6268) in paragraph at lines 103912--103915
[]\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 103933--103937
[]\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 103944--103948
[]\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 103954--103962
[]\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 103954--103962
\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 103954--103962
\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 103954--103962
\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 103954--103962
\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 103954--103962
[][]\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.
[1029]
Underfull \hbox (badness 10000) in paragraph at lines 104089--104092
[]\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
[1030]
Underfull \hbox (badness 10000) in paragraph at lines 104165--104168
[]\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.

Underfull \hbox (badness 10000) in paragraph at lines 104259--104263
[]\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.
[1031]
Underfull \hbox (badness 10000) in paragraph at lines 104361--104364
[]\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 104366--104369
[]\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.
[1032]
Underfull \hbox (badness 7907) in paragraph at lines 104537--104542
[]\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:
[1033]
Underfull \hbox (badness 10000) in paragraph at lines 104579--104582
[]\T1/qtm/m/n/10 Added method to down-load fea-ture dis-cov-ery recipe SQLs (li
m-ited beta fea-ture). [][]\T1/txtt/m/sl/10 Project.

Underfull \hbox (badness 10000) in paragraph at lines 104655--104660
[]\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 104655--104660
\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.
[1034]
Underfull \hbox (badness 10000) in paragraph at lines 104680--104688
[][]\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 104680--104688
\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 104705--104710
\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 104745--104748
[]\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 104750--104756
[]\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 104750--104756
\T1/txtt/m/sl/10 FeatureAssociationMatrixDetails[][] \T1/qtm/m/n/10 and [][]\T1
/txtt/m/sl/10 datarobot.models.FeatureAssociationFeaturelists[][]

Underfull \hbox (badness 10000) in paragraph at lines 104780--104787
[]\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 104780--104787
\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 ,
[1035]
Underfull \hbox (badness 7814) in paragraph at lines 104794--104800
[]\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 104854--104857
[]\T1/qtm/m/n/10 Sup-port for List-ing all the sec-ondary dataset con-fig-u-ra-
tion for a given project: : -
[1036]
Underfull \hbox (badness 8170) in paragraph at lines 104901--104904
[]\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 104906--104909
\T1/txtt/m/sl/10 get[][] \T1/qtm/m/n/10 Cor-re-spond-ing fea-ture lin-eage id i
s avail-able as a new [][]\T1/txtt/m/sl/10 datarobot.models.Feature[][] \T1/qtm
/m/n/10 field

Underfull \hbox (badness 10000) in paragraph at lines 104986--104991
[]\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 105007--105009
[]\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.
[1037]
Underfull \hbox (badness 10000) in paragraph at lines 105029--105032
[]\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 105034--105037
[]\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 105080--105084
[]\T1/qtm/m/n/10 Added sup-port for Cus-tom Model De-pen-dency Man-age-ment. Pl
ease see :ref:\T1/txtt/m/n/10 custom model

Underfull \hbox (badness 10000) in paragraph at lines 105123--105126
[]\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:
[1038] [1039]
Underfull \hbox (badness 10000) in paragraph at lines 105266--105275
[]\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 105277--105284
[]\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.
[1040]
Underfull \hbox (badness 10000) in paragraph at lines 105477--105481
[]\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
[1041]
Underfull \hbox (badness 8132) in paragraph at lines 105512--105517
[]\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 105532--105536
[]\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 105532--105536
[][]\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 105556--105558
[]\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 .
[1042] [1043]
Underfull \hbox (badness 10000) in paragraph at lines 105799--105803
[]\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.

Underfull \hbox (badness 10000) in paragraph at lines 105867--105871
[]\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 105867--105871
[][]\T1/txtt/m/sl/10 Deployment.get_prediction_intervals_settings[][] \T1/qtm/m
/n/10 and [][]\T1/txtt/m/sl/10 Deployment.
[1044]
Overfull \hbox (7.70421pt too wide) in paragraph at lines 105900--105902
[]\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 . 

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[]\T1/qtm/m/n/10 It's now pos-si-ble to get fea-ture as-so-ci-a-tion sta-tuses 
for fea-turelists us-ing [][]\T1/txtt/m/sl/10 Project.

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[]\T1/qtm/m/n/10 Method [][]\T1/txtt/m/sl/10 Project.set_target[][] \T1/qtm/m/n
/10 sup-port new op-tional pa-ram-e-ters \T1/txtt/m/n/10 featureEngineeringGrap
hs \T1/qtm/m/n/10 and

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[]\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
[1045]
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[]\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

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\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
[1046]
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[]\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

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\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
[1047] [1048]
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[]\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

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[][]\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.

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[][][]\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
[1049]
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[]\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

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[]\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

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\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.
[1050]
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[]\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.
[1051]
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[]\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.
[1052]
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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.

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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.
[1053]
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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.
[1054] [1055]
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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.
[1056]
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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-

Underfull \hbox (badness 10000) in paragraph at lines 107237--107242
\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
[1057]
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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,
[1058]
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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
[1059]
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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.
[1060]
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[]\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.
[1061] [1062] [1063]
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[]\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

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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
[1064]
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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
[1065] [1066] [1067] [1068] (./datarobot-public-api-client.ind [1069] [1070]
[1071]
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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 ),
[1072] [1073]
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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
[1074]
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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

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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
[1075] [1076] [1077]
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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
[1078] [1079]
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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 ),
[1080]
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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
[1081] [1082] [1083] [1084] [1085]
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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
[1086]
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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
[1087] [1088] [1089] [1090] [1091]
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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
[1092]
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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/
10 datarobot.models.automated_documentation.AutomatedDocument class
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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
) [1106] (./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 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_id\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 mlpkg_file_contents=None\T1/txtt/m/n/10 )|  
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\T1/qtm/m/it/10 ment_value=None\T1/txtt/m/n/10 )|  
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\T1/qtm/m/it/10 ment_attribute=None\T1/qtm/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/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/n/10 Tar-get fea-ture name. It is op-tional(ignored if pro-vided) for


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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 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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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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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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\T1/qtm/m/n/10 ^^Pfolder/file2.txt^^Q)] or [^^P/home/user/Documents/myModel/fil
e1.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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t one of
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Model/file1.txt^^Q,

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e1.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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-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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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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ngs, see
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cer-tain time pe-riod. :rtype:
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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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ev':6498.029,
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\T1/txtt/m/n/10 pairwise_joint_probabilities.statistic_dataframes[(0,1)].loc[\T
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[484]
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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/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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aults to

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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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alyAssessmentRecord[][] \T1/qtm/m/n/10 rep-re-sent-ing
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Underfull \hbox (badness 5359) in paragraph at lines 69314--69317
\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
[708]
Underfull \hbox (badness 10000) in paragraph at lines 69490--69495
\T1/qtm/m/n/10 [str] (Dep-re-cated in ver-sion v3.4) Lift chart data source. Ch
eck
[709]
Underfull \hbox (badness 10000) in paragraph at lines 69538--69545
\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 69602--69607
\T1/qtm/m/n/10 [str] (Dep-re-cated in ver-sion v3.4) Roc Curve data source. Che
ck
[710]
Underfull \hbox (badness 10000) in paragraph at lines 69650--69657
\T1/qtm/m/n/10 [str] (Dep-re-cated in ver-sion v3.4) ROC curve data source. Che
ck
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[723] [724] [725]
Underfull \hbox (badness 10000) in paragraph at lines 71453--71458
[]\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
[726] [727] [728]
Underfull \hbox (badness 10000) in paragraph at lines 71808--71813
[]\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 71808--71813
[][]\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
[729] [730] [731] [732] [733] [734] [735] [736] [737] [738] [739] [740]
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Underfull \hbox (badness 5359) in paragraph at lines 73439--73442
\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
[746] [747] [748] [749] [750] [751] [752] [753] [754] [755] [756]
Underfull \hbox (badness 10000) in paragraph at lines 74892--74897
[]\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 74892--74897
[][]\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
[757] [758] [759] [760] [761] [762] [763]
Underfull \hbox (badness 5592) in paragraph at lines 75553--75559
\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 75553--75559
\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 75598--75603
[]\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 75598--75603
[][]\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
[764] [765] [766] [767] [768] [769] [770]
Overfull \hbox (3.26418pt too wide) in paragraph at lines 76528--76528
\T1/qtm/m/it/10 low_partial_history_time_series_predictions=False\T1/qtm/m/n/10
 , 
[771]
Underfull \hbox (badness 10000) in paragraph at lines 76538--76541
[]\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 76548--76551
[]\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 76558--76562
\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 76567--76573
\T1/qtm/m/n/10 [datetime.datetime or None] The start date of hold-out scor-ing 
data. If
[772] [773] [774] [775]
Underfull \hbox (badness 10000) in paragraph at lines 76851--76856
[]\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 ,
[776] [777] [778]
Underfull \hbox (badness 10000) in paragraph at lines 77078--77082
\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 .
[779] [780] [781] [782] [783] [784]
Underfull \hbox (badness 5563) in paragraph at lines 77707--77716
\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
[785] [786]
Underfull \hbox (badness 10000) in paragraph at lines 77905--77908
[]\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 77905--77908
\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.
[787] [788]
Underfull \hbox (badness 10000) in paragraph at lines 78125--78134
\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 78125--78134
\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 78125--78134
\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 ,
[789] [790] [791] [792] [793] [794] [795] [796] [797] [798] [799] [800]
[801] [802] [803]
Underfull \hbox (badness 10000) in paragraph at lines 79818--79821
[]\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 79823--79826
[]\T1/qtm/m/n/10 Com-pute pre-dic-tions for the model and dataset via \T1/txtt/
m/n/10 datarobot.Model.
[804]
Underfull \hbox (badness 6708) in paragraph at lines 79895--79901
\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 79895--79901
\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 79911--79914
[]\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 79916--79919
[]\T1/qtm/m/n/10 Com-pute pre-dic-tions for the model and dataset via \T1/txtt/
m/n/10 datarobot.Model.
[805] [806] [807]
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\T1/qtm/m/it/10 tion_explanations=None\T1/qtm/m/n/10 , 

Overfull \hbox (13.06384pt too wide) in paragraph at lines 80350--80350
\T1/qtm/m/it/10 justed_prediction=None\T1/qtm/m/n/10 , 

Overfull \hbox (46.11383pt too wide) in paragraph at lines 80350--80350
\T1/qtm/m/it/10 justed_prediction_values=None\T1/txtt/m/n/10 )|  
[808]
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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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[821] [822] [823] [824] [825] [826] [827]
Underfull \hbox (badness 10000) in paragraph at lines 82317--82320
[]\T1/qtm/m/n/10 Project.list(search_params={`project_name': `red'}) >>> [Proje
ct(`Prediction Time'),
[828] [829] [830]
(/usr/share/texlive/texmf-dist/tex/latex/fontawesome5/ufontawesomefree2.fd)
[831]
Underfull \hbox (badness 10000) in paragraph at lines 82698--82701
\T1/qtm/m/n/10 [ClassMappingAggregationSettings, op-tional] In-stance of \T1/tx
tt/m/n/10 datarobot.helpers.
[832] [833]
Underfull \hbox (badness 10000) in paragraph at lines 82927--82935
\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 82927--82935
\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 82927--82935
\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 82927--82935
\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

[834] [835] [836] [837] [838]
Underfull \hbox (badness 10000) in paragraph at lines 83336--83339
\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
[839] [840] [841] [842] [843] [844] [845] [846] [847] [848] [849] [850]
[851] [852]
Underfull \hbox (badness 5592) in paragraph at lines 84756--84762
\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 84756--84762
\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 84831--84836
[]\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 84831--84836
[][]\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
[853] [854] [855] [856] [857] [858] [859] [860]
Underfull \hbox (badness 10000) in paragraph at lines 85654--85659
\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 85654--85659
\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 85712--85718
\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 85712--85718
\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 85712--85718
\T1/txtt/m/n/10 predictionBalance\T1/qtm/m/n/10 , \T1/txtt/m/n/10 trueFavorable
AndUnfavorableRateParity \T1/qtm/m/n/10 or
[861] [862] [863]
Underfull \hbox (badness 10000) in paragraph at lines 85896--85900
\T1/qtm/m/n/10 [PartitioningMethod, op-tional] An in-stance of \T1/txtt/m/n/10 
datarobot.helpers.
[864] [865]
Underfull \hbox (badness 10000) in paragraph at lines 86189--86191
\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.
[866] [867] [868]
Underfull \hbox (badness 10000) in paragraph at lines 86478--86481
\T1/qtm/m/n/10 In-stance of the Date-timePar-ti-tion-ing de-fined in \T1/txtt/m
/n/10 datarobot.helpers.
[869] [870] [871]
Underfull \hbox (badness 10000) in paragraph at lines 86930--86937
[]\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
[872] [873] [874] [875] [876]
Overfull \hbox (52.55392pt too wide) in paragraph at lines 87697--87697
\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 , 

Overfull \hbox (97.62389pt too wide) in paragraph at lines 87697--87697
\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 , 
[877]
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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 , 

Overfull \hbox (11.70403pt too wide) in paragraph at lines 87816--87816
\T1/qtm/m/it/10 lected_series=None\T1/txtt/m/n/10 )|  
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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 )|  
[887]
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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 , 
[888]
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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.
[903] [904] [905] [906] [907] [908] [909]
Underfull \hbox (badness 10000) in paragraph at lines 90990--90994
\T1/qtm/m/n/10 Re-trieve a sin-gle sec-ondary dataset con-fig-u-ra-tion for a g
iven id :rtype:
[910]
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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/n/10 Add new at-tributes to [][]\T1/txtt/m/sl/10 VectorDatabase[][]
\T1/qtm/m/n/10 : \T1/txtt/m/n/10 parent_id\T1/qtm/m/n/10 , \T1/txtt/m/n/10 fami
ly_id\T1/qtm/m/n/10 , \T1/txtt/m/n/10 metadata_columns\T1/qtm/m/n/10 ,

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

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\T1/txtt/m/sl/10 get_supported_retrieval_settings[][] \T1/qtm/m/n/10 to re-trie
ve sup-ported re-trieval set-tings. [][]\T1/txtt/m/sl/10 VectorDatabase.

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[]\T1/qtm/m/n/10 Up-dated the schema for [][]\T1/txtt/m/sl/10 EvaluationDataset
MetricAggregation[][] \T1/qtm/m/n/10 to in-clude the new at-tributes
[1000]
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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.

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

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

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

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

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

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\T1/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
[1003]
Underfull \hbox (badness 10000) in paragraph at lines 101200--101205
\T1/txtt/m/n/10 genai.evaluation_dataset_metric_aggregation.EvaluationDatasetMe
tricAggregation>

Underfull \hbox (badness 10000) in paragraph at lines 101200--101205
\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 101200--101205
\T1/txtt/m/n/10 <datarobot._experimental.models.genai.evaluation_dataset_metric
_aggregation.

Underfull \hbox (badness 10000) in paragraph at lines 101200--101205
\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 101200--101205
\T1/txtt/m/n/10 EvaluationDatasetMetricAggregation.create <datarobot._experimen
tal.models.

Underfull \hbox (badness 10000) in paragraph at lines 101200--101205
\T1/txtt/m/n/10 genai.evaluation_dataset_metric_aggregation.EvaluationDatasetMe
tricAggregation.

Underfull \hbox (badness 5345) in paragraph at lines 101200--101205
\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 101200--101205
\T1/txtt/m/n/10 <datarobot._experimental.models.genai.evaluation_dataset_metric
_aggregation.

Underfull \hbox (badness 10000) in paragraph at lines 101207--101210
[]\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 101212--101220
[]\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 101212--101220
\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 101212--101220
\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 101212--101220
\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 101212--101220
\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 101212--101220
\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 101212--101220
\T1/qtm/m/n/10 tion. \T1/txtt/m/n/10 SidecarModelMetricValidation.revalidate <d
atarobot._experimental.models.genai.
[1004]
Underfull \hbox (badness 10000) in paragraph at lines 101309--101311
[]\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

Underfull \hbox (badness 10000) in paragraph at lines 101317--101319
[]\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
[1005] [1006]
Underfull \hbox (badness 10000) in paragraph at lines 101487--101489
[][][]\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

Underfull \hbox (badness 10000) in paragraph at lines 101564--101567
[]\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 101564--101567
\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
[1007]
Underfull \hbox (badness 10000) in paragraph at lines 101625--101627
[]\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.
[1008]
Underfull \hbox (badness 10000) in paragraph at lines 101702--101704
[]\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 101706--101710
[]\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 101706--101710
\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 101706--101710
\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 101712--101715
[]\T1/qtm/m/n/10 Added a new class \T1/txtt/m/n/10 InsightsConfiguration <datar
obot._experimental.models.genai.

Underfull \hbox (badness 10000) in paragraph at lines 101717--101721
\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 101717--101721
\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 101723--101729
\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 101723--101729
\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 101723--101729
\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 101723--101729
\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 101723--101729
\T1/qtm/m/n/10 con-fig-u-ra-tion. \T1/txtt/m/n/10 CostMetricConfiguration.delet
e <datarobot._experimental.models.genai.
[1009]
Underfull \hbox (badness 10000) in paragraph at lines 101731--101733
[]\T1/qtm/m/n/10 Added a new class \T1/txtt/m/n/10 LLMCostConfiguration <dataro
bot._experimental.models.genai.
[1010]
Underfull \hbox (badness 10000) in paragraph at lines 101889--101891
[]\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 101893--101895
[]\T1/qtm/m/n/10 Added \T1/txtt/m/n/10 embedding_validation_id \T1/qtm/m/n/10 a
nd \T1/txtt/m/n/10 is_separator_regex \T1/qtm/m/n/10 to \T1/txtt/m/n/10 VectorD
atabase <datarobot.

Underfull \hbox (badness 10000) in paragraph at lines 101927--101929
[]\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 101927--101929
\T1/txtt/m/n/10 _experimental.models.genai.comparison_prompt.ComparisonPrompt.u
pdate>\T1/qtm/m/n/10 , to up-date a
[1011]
Underfull \hbox (badness 10000) in paragraph at lines 101995--101997
[]\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.
[1012]
Underfull \hbox (badness 10000) in paragraph at lines 102082--102088
\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 102082--102088
[][]\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 102082--102088
\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 102082--102088
\T1/qtm/m/n/10 ate a new reg-is-tered model ver-sion from a Leader-board model.
 [][]\T1/txtt/m/sl/10 RegisteredModelVersion.

Underfull \hbox (badness 10000) in paragraph at lines 102125--102127
[]\T1/qtm/m/n/10 Added method meth:\T1/txtt/m/n/10 Deployment.get_predictions_v
s_actuals_over_time <datarobot.models.
[1013] [1014]
Underfull \hbox (badness 10000) in paragraph at lines 102263--102269
\T1/txtt/m/sl/10 run[][] [][]BatchMonitoringJob.get_status[][] [][]BatchMonitor
ingJob.cancel[][] [][]BatchMonitoringJob.

Underfull \hbox (badness 10000) in paragraph at lines 102329--102338
\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 102329--102338
\T1/txtt/m/sl/10 get[][] [][]BatchMonitoringJobDefinition.create[][] [][]BatchM
onitoringJobDefinition.update[][]

Underfull \hbox (badness 10000) in paragraph at lines 102329--102338
[][]\T1/txtt/m/sl/10 BatchMonitoringJobDefinition.delete[][] [][]BatchMonitorin
gJobDefinition.run_on_schedule[][]
[1015]
Underfull \hbox (badness 10000) in paragraph at lines 102351--102364
\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 102351--102364
[][]\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 102351--102364
\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 102392--102394
[]\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 102396--102398
[]\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 102400--102402
[]\T1/qtm/m/n/10 If the user con-fig-ures the client via env vars, then set the
 env var

Underfull \hbox (badness 10000) in paragraph at lines 102409--102411
[]\T1/qtm/m/n/10 Added method meth:\T1/txtt/m/n/10 Deployment.get_predictions_o
ver_time <datarobot.models.Deployment.
[1016]
Underfull \hbox (badness 10000) in paragraph at lines 102451--102466
\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 102451--102466
[][]\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 102451--102466
[][]\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 102496--102498
[]\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 102520--102522
\T1/txtt/m/sl/10 PredictionExplanations.get_all_as_dataframe()[][] \T1/qtm/m/n/
10 and [][]\T1/txtt/m/sl/10 datarobot.PredictionExplanations.

Underfull \hbox (badness 7168) in paragraph at lines 102545--102552
[]\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 -
[1017]
Underfull \hbox (badness 10000) in paragraph at lines 102622--102625
[]\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 102632--102635
[]\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 102647--102650
[]\T1/txtt/m/n/10 Model.get_or_request_feature_fit \T1/qtm/m/n/10 has been re-m
oved. Use [][]\T1/txtt/m/sl/10 Model.

Underfull \hbox (badness 10000) in paragraph at lines 102652--102655
[]\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 102662--102665
[]\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.
[1018]
Underfull \hbox (badness 10000) in paragraph at lines 102798--102802
[]\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 102798--102802
[][]\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 102804--102809
[]\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 102804--102809
[][]\T1/txtt/m/sl/10 DataEngineQueryGenerator.prepare_prediction_dataset_from_c
atalog[][] \T1/qtm/m/n/10 that ap-ply time se-ries
[1019]
Underfull \hbox (badness 10000) in paragraph at lines 102835--102839
[]\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 ,

Underfull \hbox (badness 10000) in paragraph at lines 102906--102908
[]\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
[1020] [1021] [1022]
Underfull \hbox (badness 10000) in paragraph at lines 103175--103178
[]\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 103180--103182
[]\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.

Underfull \hbox (badness 10000) in paragraph at lines 103263--103265
[][][]\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 103267--103269
[][][]\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
[1023]
Underfull \hbox (badness 6364) in paragraph at lines 103299--103301
[]\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 103351--103356
[]\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 103351--103356
\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 -
[1024]
Underfull \hbox (badness 10000) in paragraph at lines 103393--103400
[]\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 103393--103400
[][]\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 103444--103457
\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 103444--103457
\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 103444--103457
\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 103444--103457
\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 103444--103457
\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.
[1025]
Underfull \hbox (badness 10000) in paragraph at lines 103570--103572
[]\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 103588--103591
[]\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
[1026] [1027]
Underfull \hbox (badness 10000) in paragraph at lines 103817--103820
[]\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 ,
[1028]
Underfull \hbox (badness 6268) in paragraph at lines 103912--103915
[]\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 103933--103937
[]\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 103944--103948
[]\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 103954--103962
[]\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 103954--103962
\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 103954--103962
\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 103954--103962
\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 103954--103962
\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 103954--103962
[][]\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.
[1029]
Underfull \hbox (badness 10000) in paragraph at lines 104089--104092
[]\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
[1030]
Underfull \hbox (badness 10000) in paragraph at lines 104165--104168
[]\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.

Underfull \hbox (badness 10000) in paragraph at lines 104259--104263
[]\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.
[1031]
Underfull \hbox (badness 10000) in paragraph at lines 104361--104364
[]\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 104366--104369
[]\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.
[1032]
Underfull \hbox (badness 7907) in paragraph at lines 104537--104542
[]\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:
[1033]
Underfull \hbox (badness 10000) in paragraph at lines 104579--104582
[]\T1/qtm/m/n/10 Added method to down-load fea-ture dis-cov-ery recipe SQLs (li
m-ited beta fea-ture). [][]\T1/txtt/m/sl/10 Project.

Underfull \hbox (badness 10000) in paragraph at lines 104655--104660
[]\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 104655--104660
\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.
[1034]
Underfull \hbox (badness 10000) in paragraph at lines 104680--104688
[][]\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 104680--104688
\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 104705--104710
\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 104745--104748
[]\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 104750--104756
[]\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 104750--104756
\T1/txtt/m/sl/10 FeatureAssociationMatrixDetails[][] \T1/qtm/m/n/10 and [][]\T1
/txtt/m/sl/10 datarobot.models.FeatureAssociationFeaturelists[][]

Underfull \hbox (badness 10000) in paragraph at lines 104780--104787
[]\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 104780--104787
\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 ,
[1035]
Underfull \hbox (badness 7814) in paragraph at lines 104794--104800
[]\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 104854--104857
[]\T1/qtm/m/n/10 Sup-port for List-ing all the sec-ondary dataset con-fig-u-ra-
tion for a given project: : -
[1036]
Underfull \hbox (badness 8170) in paragraph at lines 104901--104904
[]\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 104906--104909
\T1/txtt/m/sl/10 get[][] \T1/qtm/m/n/10 Cor-re-spond-ing fea-ture lin-eage id i
s avail-able as a new [][]\T1/txtt/m/sl/10 datarobot.models.Feature[][] \T1/qtm
/m/n/10 field

Underfull \hbox (badness 10000) in paragraph at lines 104986--104991
[]\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 105007--105009
[]\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.
[1037]
Underfull \hbox (badness 10000) in paragraph at lines 105029--105032
[]\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 105034--105037
[]\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 105080--105084
[]\T1/qtm/m/n/10 Added sup-port for Cus-tom Model De-pen-dency Man-age-ment. Pl
ease see :ref:\T1/txtt/m/n/10 custom model

Underfull \hbox (badness 10000) in paragraph at lines 105123--105126
[]\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:
[1038] [1039]
Underfull \hbox (badness 10000) in paragraph at lines 105266--105275
[]\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 105277--105284
[]\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.
[1040]
Underfull \hbox (badness 10000) in paragraph at lines 105477--105481
[]\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
[1041]
Underfull \hbox (badness 8132) in paragraph at lines 105512--105517
[]\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 105532--105536
[]\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 105532--105536
[][]\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 105556--105558
[]\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 .
[1042] [1043]
Underfull \hbox (badness 10000) in paragraph at lines 105799--105803
[]\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.

Underfull \hbox (badness 10000) in paragraph at lines 105867--105871
[]\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 105867--105871
[][]\T1/txtt/m/sl/10 Deployment.get_prediction_intervals_settings[][] \T1/qtm/m
/n/10 and [][]\T1/txtt/m/sl/10 Deployment.
[1044]
Overfull \hbox (7.70421pt too wide) in paragraph at lines 105900--105902
[]\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 105920--105923
[]\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 105957--105959
[]\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 105965--105970
[]\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
[1045]
Underfull \hbox (badness 10000) in paragraph at lines 106047--106049
[]\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 106047--106049
\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
[1046]
Underfull \hbox (badness 7451) in paragraph at lines 106133--106136
[]\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 106133--106136
\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
[1047] [1048]
Underfull \hbox (badness 10000) in paragraph at lines 106337--106346
[]\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 106337--106346
[][]\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 106376--106378
[][][]\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
[1049]
Underfull \hbox (badness 10000) in paragraph at lines 106498--106501
[]\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 106517--106522
[]\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 106517--106522
\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.
[1050]
Underfull \hbox (badness 10000) in paragraph at lines 106548--106552
[]\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.
[1051]
Underfull \hbox (badness 10000) in paragraph at lines 106635--106643
[]\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 106635--106643
\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 106658--106661
[]\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 106668--106670
[]\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 106710--106714
[][][]\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.
[1052]
Underfull \hbox (badness 10000) in paragraph at lines 106827--106831
[]\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 106827--106831
\T1/txtt/m/sl/10 DatetimePartitioning.feature_log_list()[][] \T1/qtm/m/n/10 and
 [][]\T1/txtt/m/sl/10 datarobot.DatetimePartitioning.

Underfull \hbox (badness 10000) in paragraph at lines 106847--106851
[]\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.
[1053]
Underfull \hbox (badness 5302) in paragraph at lines 106873--106877
\T1/qtm/m/n/10 re-cated and will be re-moved in 2.14. Use [][]\T1/txtt/m/sl/10 
datarobot.DatetimePartitioningSpecification.
[1054] [1055]
Underfull \hbox (badness 10000) in paragraph at lines 107137--107140
[]\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.
[1056]
Underfull \hbox (badness 10000) in paragraph at lines 107237--107242
[]\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 107237--107242
\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
[1057]
Underfull \hbox (badness 10000) in paragraph at lines 107320--107322
[]\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,
[1058]
Underfull \hbox (badness 10000) in paragraph at lines 107424--107428
[]\T1/qtm/m/n/10 (Only rel-e-vant for on-premise users with a Stan-dalone Scor-
ing clus-ter.) Meth-ods
[1059]
Underfull \hbox (badness 6268) in paragraph at lines 107539--107543
[]\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.
[1060]
Underfull \hbox (badness 10000) in paragraph at lines 107675--107677
[]\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.
[1061] [1062] [1063]
Underfull \hbox (badness 6016) in paragraph at lines 108019--108023
[]\T1/qtm/m/n/10 In sev-eral places where \T1/txtt/m/n/10 AppPlatformError \T1/
qtm/m/n/10 was be-ing raised, now \T1/txtt/m/n/10 TypeError\T1/qtm/m/n/10 , \T1
/txtt/m/n/10 ValueError \T1/qtm/m/n/10 or

Underfull \hbox (badness 10000) in paragraph at lines 108039--108044
[]\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
[1064]
Underfull \hbox (badness 10000) in paragraph at lines 108110--108113
[]\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
[1065] [1066] [1067] [1068] (./datarobot-public-api-client.ind [1069] [1070]
[1071]
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 ),
[1072] [1073]
Underfull \hbox (badness 10000) in paragraph at lines 329--331
[]\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
[1074]
Underfull \hbox (badness 10000) in paragraph at lines 331--333
[]\T1/txtt/m/n/10 create() \T1/qtm/m/n/10 (\T1/qtm/m/it/10 datarobot.models.gen
ai.evaluation_dataset_metric_aggregation.EvaluationDatasetMetricAggregation

Underfull \hbox (badness 10000) in paragraph at lines 347--349
[]\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
[1075] [1076] [1077]
Underfull \hbox (badness 10000) in paragraph at lines 664--666
[]\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
[1078] [1079]
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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 ),
[1080]
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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
[1081] [1082] [1083] [1084] [1085]
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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
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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
[1087] [1088] [1089] [1090] [1091]
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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
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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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/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/
10 datarobot.models.automated_documentation.AutomatedDocument class
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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
) [1106] (./datarobot-public-api-client.aux)

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