Read the Docs build information
Build id: 2703899
Project: datarobot-public-api-client
Version: early-access
Commit: 92b23f44fa11162bcee9a036ceec94c8d56d197b
Date: 2024-12-23T18:04:05.017478Z
State: finished
Success: True


[rtd-command-info] start-time: 2024-12-23T18:04:06.232437Z, end-time: 2024-12-23T18:04:09.459511Z, 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: 2024-12-23T18:04:09.524548Z, end-time: 2024-12-23T18:04:12.130417Z, 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: 2024-12-23T18:04:12.260662Z, end-time: 2024-12-23T18:04:13.005740Z, duration: 0, exit-code: 0
git checkout --force 92b23f44fa11162bcee9a036ceec94c8d56d197b
Note: switching to '92b23f44fa11162bcee9a036ceec94c8d56d197b'.

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 92b23f4 [BUZZOK-24620]playground id is not optional for evaluation dataset configuration list (#3427)

[rtd-command-info] start-time: 2024-12-23T18:04:13.074515Z, end-time: 2024-12-23T18:04:13.140146Z, 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: 2024-12-23T18:04:20.145821Z, end-time: 2024-12-23T18:04:20.230581Z, duration: 0, exit-code: 0
asdf global python 3.11.10


[rtd-command-info] start-time: 2024-12-23T18:04:20.665782Z, end-time: 2024-12-23T18:04:21.815243Z, duration: 1, exit-code: 0
python -mvirtualenv $READTHEDOCS_VIRTUALENV_PATH
created virtual environment CPython3.11.10.final.0-64 in 763ms
  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: 2024-12-23T18:04:21.880781Z, end-time: 2024-12-23T18:04:31.741498Z, 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
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      Successfully uninstalled setuptools-67.6.1
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    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: 2024-12-23T18:04:31.817298Z, end-time: 2024-12-23T18:04:37.389279Z, 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-3.4.0 docutils-0.21.2 idna-3.10 imagesize-1.4.1 packaging-24.2 requests-2.32.3 snowballstemmer-2.2.0 sphinx-8.1.3 sphinxcontrib-applehelp-2.0.0 sphinxcontrib-devhelp-2.0.0 sphinxcontrib-htmlhelp-2.1.0 sphinxcontrib-jsmath-1.0.1 sphinxcontrib-qthelp-2.0.0 sphinxcontrib-serializinghtml-2.0.0 urllib3-2.3.0

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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-7.6.9 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-3.0.2 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-0.9.5 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: 2024-12-23T18:05:26.118826Z, end-time: 2024-12-23T18:05:26.179673Z, 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: 2024-12-23T18:05:26.252769Z, end-time: 2024-12-23T18:06:34.485579Z, duration: 68, 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: 2024-12-23T18:06:34.603768Z, end-time: 2024-12-23T18:07:07.603058Z, duration: 32, exit-code: 0
python -m sphinx -T -b latex -d _build/doctrees -D language=en . $READTHEDOCS_OUTPUT/pdf
Running Sphinx v8.1.3
loading translations [en]... done
Initializing Spelling Checker 8.0.0
making output directory... done
loading pickled environment... The configuration has changed (5 options: 'html_permalinks_icon', 'html_static_path', 'jquery_use_sri', 'nbsphinx_requirejs_options', 'nbsphinx_requirejs_path')
done
[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/mlops/index
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   reference/mlops/jobs
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   reference/mlops/key_values
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  autodoc/application
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  autodoc/credentials
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  autodoc/data_slices
  autodoc/data_store
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  autodoc/dataset_definition
  autodoc/datasets
  autodoc/datetime_trend_plots
  autodoc/deployment
  autodoc/document_ai
  autodoc/external_baseline_validation
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  autodoc/feature
  autodoc/feature_association
  autodoc/feature_effects
  autodoc/feature_lineage
  autodoc/featurelist
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Chapter 1.
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[][][]\T1/txtt/m/sl/10 Dataset.create_from_url[][] \T1/qtm/m/n/10 takes .csv da
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[]\T1/qtm/m/n/10 For mul-ti-class mod-els, you can get a list of per-class lift
 charts us-ing the \T1/txtt/m/n/10 Model \T1/qtm/m/n/10 method

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\T1/qtm/m/n/10 Just as with the lift and ROC charts, you can use \T1/txtt/m/n/1
0 Model \T1/qtm/m/n/10 meth-ods \T1/txtt/m/n/10 get_residuals_chart \T1/qtm/m/n
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\T1/qtm/m/n/10 and \T1/txtt/m/n/10 validation_start_date\T1/qtm/m/n/10 . Us-ing
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0 . You can also re-trieve the de-tailed meta-data us-ing
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[]\T1/qtm/m/n/10 Enough rows of his-tor-i-cal data must be pro-vided to cover t
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l.3727     ├── american\PYGZus{}bulldog
                                             

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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.5721     ├── images
                           

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l.5725     ├── data.csv
                             

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l.5725     ├── data.csv
                             
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[]\T1/qtm/m/n/10 :::{note} \T1/txtt/m/n/10 PredictionExplanations.get_all_as_da
taframe() \T1/qtm/m/n/10 and \T1/txtt/m/n/10 PredictionExplanations.
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\T1/qtm/m/n/10 If you just want to get gen-er-ated pre-dic-tions from a Pre-dic
-tJob, you can use the \T1/txtt/m/n/10 PredictJob.
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[]\T1/qtm/m/n/10 In or-der to sched-ule the ex-e-cu-tion of a Batch Pre-dic-tio
n job, a def-i-ni-tion must first be cre-ated, us-
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[]\T1/qtm/m/n/10 Job def-i-ni-tions are only be ex-e-cuted by the sched-uler if
 \T1/txtt/m/n/10 enabled \T1/qtm/m/n/10 is set to \T1/txtt/m/n/10 True\T1/qtm/m
/n/10 . If you have a

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 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 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 ) 
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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 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 tom_metric_metadata\T1/qtm/m/n/10 , 

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

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\T1/qtm/m/n/10 Cre-ate a hosted cus-tom met-ric from a tem-plate. A short-cut f
or 2 calls:
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\T1/qtm/m/it/10 is_model_specific\T1/qtm/m/n/10 , 

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\T1/qtm/m/it/10 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 , 
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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 ,
[313]
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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 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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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 ,
[318]
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\T1/qtm/m/n/10 De-ter-mines whether the given cus-tom model is iso-lated, or ca
n ac-cess the

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\T1/qtm/m/n/10 pub-lic net-work. Val-ues: [\T1/qtm/m/it/10 datarobot.NETWORK_EG
RESS_POLICY.NONE\T1/qtm/m/n/10 ,
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\T1/qtm/m/n/10 De-ter-mines whether the given cus-tom model is iso-lated, or ca
n ac-cess the

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\T1/qtm/m/n/10 pub-lic net-work. Val-ues: [\T1/qtm/m/it/10 datarobot.NETWORK_EG
RESS_POLICY.NONE\T1/qtm/m/n/10 ,
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\T1/qtm/m/n/10 The base en-vi-ron-ment to use with this model ver-sion. At leas
t one of

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

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\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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\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 Get lat-est cus-tom model ver-sion con-ver-sion for a given cus-
tom model ver-sion. :rtype:
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\T1/qtm/m/n/10 Get cus-tom model ver-sion con-ver-sions list per cus-tom model 
ver-sion. :rtype:

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\T1/qtm/m/n/10 Re-trieve in-for-ma-tion about a cus-tom model ver-sion's de-pen
-dency build :rtype:
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\T1/qtm/m/n/10 Start the de-pen-dency build for a cus-tom model ver-sion de-pen
-dency build :rtype:
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\T1/qtm/m/n/10 build sta-tus of the ex-e-cu-tion en-vi-ron-ment ver-sion to fil
-ter by. See

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\T1/qtm/m/n/10 datarobot.enums.EXECUTION_ENVIRONMENT_VERSION_BUILD_STATUS
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\T1/qtm/m/n/10 whether anomaly pre-dic-tions should be cal-i-brated to be be-tw
een 0

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\T1/qtm/m/n/10 and 1 by DR. only ap-plies to cus-tom es-ti-ma-tors with tar-get
 type
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\T1/qtm/m/it/10 only_matched_predictions=None\T1/qtm/m/n/10 , 
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\T1/qtm/m/n/10 [str] Op-tional. The full JDBC URL (for ex-am-ple:
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\T1/qtm/m/n/10 [str] Op-tional. The iden-ti-fier of the Con-nec-tor. if the typ
e is Data-S-tore-

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

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\T1/qtm/m/n/10 ment. To up-date ex-ist-ing `'pre-dic-tions_data_collection'' se
t-tings, see
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\T1/qtm/m/n/10 [bool] If tar-get pre-dic-tion_warning is en-abled for this de-p
loy-ment.

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

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

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\T1/qtm/m/it/10 is_out_of_the_box_test_configuration\T1/qtm/m/n/10 , 
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Overfull \hbox (140.00858pt too wide) in paragraph at lines 51547--51547
[]\T1/qtm/m/it/10 supported_insight_configurations\T1/qtm/m/n/10 , 

Overfull \hbox (98.50859pt too wide) in paragraph at lines 51547--51547
\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 , 

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\T1/qtm/m/it/10 tion_dataset_configuration_id=None\T1/qtm/m/n/10 , 
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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 )|  
[560]
Overfull \hbox (113.39859pt too wide) in paragraph at lines 52436--52436
[]\T1/qtm/m/it/10 ootb_metric_configurations\T1/txtt/m/n/10 )|  
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\T1/qtm/m/n/10 keys: \T1/txtt/m/n/10 featureName\T1/qtm/m/n/10 , \T1/txtt/m/n/1
0 impactNormalized\T1/qtm/m/n/10 , and \T1/txtt/m/n/10 impactUnnormalized\T1/qt
m/m/n/10 , and
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Underfull \hbox (badness 10000) in paragraph at lines 59568--59573
[]\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 59568--59573
[][]\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
[618] [619] [620] [621] [622] [623] [624]
Underfull \hbox (badness 5592) in paragraph at lines 60229--60235
\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 60229--60235
\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 60274--60279
[]\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 60274--60279
[][]\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
[625] [626] [627] [628] [629] [630] [631] [632] [633] [634] [635] [636]
[637]
Underfull \hbox (badness 5359) in paragraph at lines 61718--61721
\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 66337--66342
[][]\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
[677] [678] [679] [680] [681] [682] [683]
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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 66998--67004
\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 67043--67048
[]\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 67043--67048
[][]\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
[684] [685] [686] [687] [688]
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\T1/qtm/m/n/10 of the \T1/txtt/m/n/10 windows_basis_unit \T1/qtm/m/n/10 into th
e past rel-a-tive to the fore-cast point the

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\T1/txtt/m/n/10 feature_derivation_window_start \T1/qtm/m/n/10 set on the proje
ct due to the dif-fer-enc-ing
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[]\T1/qtm/m/n/10 All du-ra-tions should be spec-i-fied with a du-ra-tion string
 such as those re-turned by the

Underfull \hbox (badness 8075) in paragraph at lines 67823--67828
[][]\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
[692] [693] [694] [695] [696] [697] [698] [699] [700] [701] [702] [703]
Underfull \hbox (badness 10000) in paragraph at lines 68980--68984
\T1/qtm/m/n/10 [AnomalyOverTimePlotPreview] a [][]\T1/txtt/m/sl/10 AnomalyOverT
imePlotPreview[][] \T1/qtm/m/n/10 rep-re-sent-ing
[704]
Underfull \hbox (badness 10000) in paragraph at lines 69096--69100
\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
[705]
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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
[706]
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\T1/qtm/m/n/10 [str] (Dep-re-cated in ver-sion v3.4) Lift chart data source. Ch
eck
[707]
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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 69463--69468
\T1/qtm/m/n/10 [str] (Dep-re-cated in ver-sion v3.4) Roc Curve data source. Che
ck
[708]
Underfull \hbox (badness 10000) in paragraph at lines 69511--69518
\T1/qtm/m/n/10 [str] (Dep-re-cated in ver-sion v3.4) ROC curve data source. Che
ck
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Underfull \hbox (badness 10000) in paragraph at lines 71294--71299
[]\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 71294--71299
[][]\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
[724] [725] [726]
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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 71649--71654
[][]\T1/txtt/m/sl/10 partitioning_methods.construct_duration_string[][] \T1/qtm
/m/n/10 helper method. Please see [][]\T1/qtm/m/it/10 date-time
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Underfull \hbox (badness 5359) in paragraph at lines 73270--73273
\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 74713--74718
[][]\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
[754] [755] [756] [757] [758] [759] [760]
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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 75374--75380
\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 75419--75424
[]\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 75419--75424
[][]\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
[761] [762] [763] [764] [765] [766] [767]
Overfull \hbox (3.26418pt too wide) in paragraph at lines 76349--76349
\T1/qtm/m/it/10 low_partial_history_time_series_predictions=False\T1/qtm/m/n/10
 , 
[768]
Underfull \hbox (badness 10000) in paragraph at lines 76359--76362
[]\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 76369--76372
[]\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 76379--76383
\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 76388--76394
\T1/qtm/m/n/10 [datetime.datetime or None] The start date of hold-out scor-ing 
data. If
[769] [770] [771] [772]
Underfull \hbox (badness 10000) in paragraph at lines 76672--76677
[]\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 ,
[773] [774] [775]
Underfull \hbox (badness 10000) in paragraph at lines 76899--76903
\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 .
[776] [777] [778] [779] [780] [781]
Underfull \hbox (badness 5563) in paragraph at lines 77528--77537
\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
[782] [783]
Underfull \hbox (badness 10000) in paragraph at lines 77726--77729
[]\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 77726--77729
\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.
[784] [785]
Underfull \hbox (badness 10000) in paragraph at lines 77946--77955
\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 77946--77955
\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 77946--77955
\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 ,
[786] [787] [788] [789] [790] [791] [792] [793] [794] [795] [796] [797]
[798] [799] [800]
Underfull \hbox (badness 10000) in paragraph at lines 79639--79642
[]\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 79644--79647
[]\T1/qtm/m/n/10 Com-pute pre-dic-tions for the model and dataset via \T1/txtt/
m/n/10 datarobot.Model.
[801]
Underfull \hbox (badness 6708) in paragraph at lines 79716--79722
\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 79716--79722
\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 79732--79735
[]\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 79737--79740
[]\T1/qtm/m/n/10 Com-pute pre-dic-tions for the model and dataset via \T1/txtt/
m/n/10 datarobot.Model.
[802] [803] [804]
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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 )|  
[805]
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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 80264--80264
\T1/qtm/m/it/10 ment_method=None\T1/txtt/m/n/10 )|  
[806] [807] [808] [809] [810] [811] [812] [813] [814] [815] [816] [817]
[818] [819] [820] [821] [822] [823] [824]
Underfull \hbox (badness 10000) in paragraph at lines 82138--82141
[]\T1/qtm/m/n/10 Project.list(search_params={`project_name': `red'}) >>> [Proje
ct(`Prediction Time'),
[825] [826] [827]
(/usr/share/texlive/texmf-dist/tex/latex/fontawesome5/ufontawesomefree2.fd)
[828]
Underfull \hbox (badness 10000) in paragraph at lines 82519--82522
\T1/qtm/m/n/10 [ClassMappingAggregationSettings, op-tional] In-stance of \T1/tx
tt/m/n/10 datarobot.helpers.
[829] [830]
Underfull \hbox (badness 10000) in paragraph at lines 82748--82756
\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 82748--82756
\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 82748--82756
\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 82748--82756
\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

[831] [832] [833] [834] [835]
Underfull \hbox (badness 10000) in paragraph at lines 83157--83160
\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
[836] [837] [838] [839] [840] [841] [842] [843] [844] [845] [846] [847]
[848] [849]
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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
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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 
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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 
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\T1/qtm/m/n/10 In-stance of the Date-timePar-ti-tion-ing de-fined in \T1/txtt/m
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[]\T1/qtm/m/n/10 This is an al-ter-na-tive to pass-ing a spec-i-fi-ca-tion to [
][]\T1/txtt/m/sl/10 Project.analyze_and_model[][] \T1/qtm/m/n/10 via the
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\T1/qtm/m/n/10 [Optional[RegisteredModelVersionsListFilters]] A Reg-is-tered-Mo
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\T1/qtm/m/n/10 Re-trieve a sin-gle sec-ondary dataset con-fig-u-ra-tion for a g
iven id :rtype:
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\T1/qtm/m/it/10 get_column=None\T1/qtm/m/n/10 , 

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

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\T1/qtm/m/it/10 user_group_column=None\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 otv_validation_start_date=None\T1/qtm/m/n/10 , 

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

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

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

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

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\T1/qtm/m/it/10 otv_validation_downsampling_pct=None\T1/txtt/m/n/10 )|  
[989] [990]
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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/it/10 rows_chunk_definition=None\T1/qtm/m/n/10 , 

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\T1/qtm/m/it/10 tures_chunk_definition=None\T1/txtt/m/n/10 )|  
[991] [992] [993] [994] [995] [996]
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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
[997]
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[]\T1/qtm/m/n/10 Added the pa-ram-e-ter \T1/txtt/m/n/10 base_path \T1/qtm/m/n/1
0 to [][]\T1/txtt/m/sl/10 get_encoded_file_contents_from_paths[][] \T1/qtm/m/n/
10 and

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[]\T1/qtm/m/n/10 Fixed field in [][]\T1/txtt/m/sl/10 CustomTaskVersion[][] \T1/
qtm/m/n/10 for con-trol-ling net-work poli-cies. This is changed from

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[]\T1/qtm/m/n/10 Dep-re-cated [][]\T1/txtt/m/sl/10 Model.request_fairness_insig
hts[][]\T1/qtm/m/n/10 . Please use [][]\T1/txtt/m/sl/10 Model.

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[]\T1/qtm/m/n/10 Re-named \T1/txtt/m/n/10 datarobot.enums.CustomTaskOutgoingNet
workPolicy \T1/qtm/m/n/10 to [][]\T1/txtt/m/sl/10 datarobot.enums.
[998]
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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
[999]
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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.

Underfull \hbox (badness 10000) in paragraph at lines 100968--100975
\T1/txtt/m/n/10 evaluation_dataset_configuration.EvaluationDatasetConfiguration
.delete> \T1/qtm/m/n/10 to delete an

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

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

Underfull \hbox (badness 10000) in paragraph at lines 100977--100982
\T1/txtt/m/n/10 <datarobot._experimental.models.genai.evaluation_dataset_metric
_aggregation.

Underfull \hbox (badness 10000) in paragraph at lines 100977--100982
\T1/txtt/m/n/10 EvaluationDatasetMetricAggregation.list> \T1/qtm/m/n/10 to get 
the met-ric ag-gre-ga-tion re-sults.

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

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

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

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

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[]\T1/qtm/m/n/10 Added a new class \T1/txtt/m/n/10 SyntheticEvaluationDataset <
datarobot._experimental.models.genai.
[1000]
Underfull \hbox (badness 10000) in paragraph at lines 100989--100997
[]\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 100989--100997
\T1/txtt/m/n/10 genai.sidecar_model_metric.SidecarModelMetricValidation> \T1/qt
m/m/n/10 for side-car model met-ric val-i-

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

Underfull \hbox (badness 10000) in paragraph at lines 100989--100997
\T1/txtt/m/n/10 sidecar_model_metric.SidecarModelMetricValidation.create> \T1/q
tm/m/n/10 to cre-ate a side-car model

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

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

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\T1/qtm/m/n/10 tion. \T1/txtt/m/n/10 SidecarModelMetricValidation.revalidate <d
atarobot._experimental.models.genai.
[1001]
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[]\T1/qtm/m/n/10 Im-ple-mented sup-port for \T1/txtt/m/n/10 dr[]connector[]v1 \
T1/qtm/m/n/10 to \T1/txtt/m/n/10 DataStore <datarobot.models.DataStore> \T1/qtm
/m/n/10 and

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[]\T1/qtm/m/n/10 Added a new pa-ram-e-ter \T1/txtt/m/n/10 entity_type \T1/qtm/m
/n/10 to the \T1/txtt/m/n/10 compute \T1/qtm/m/n/10 and \T1/txtt/m/n/10 create 
\T1/qtm/m/n/10 meth-ods of the classes
[1002]
Underfull \hbox (badness 10000) in paragraph at lines 101264--101266
[][][]\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
[1003]
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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
[1004]
Underfull \hbox (badness 10000) in paragraph at lines 101402--101404
[]\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.

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[]\T1/qtm/m/n/10 Added a new pa-ram-e-ter \T1/txtt/m/n/10 base_environment_vers
ion_id \T1/qtm/m/n/10 to [][]\T1/txtt/m/sl/10 CustomModelVersion.

Underfull \hbox (badness 10000) in paragraph at lines 101483--101487
[]\T1/qtm/m/n/10 Added a new class \T1/txtt/m/n/10 PromptTrace <datarobot._expe
rimental.models.genai.prompt_trace.

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

Underfull \hbox (badness 10000) in paragraph at lines 101483--101487
\T1/txtt/m/n/10 _experimental.models.genai.prompt_trace.PromptTrace.export_to_a
i_catalog> \T1/qtm/m/n/10 to ex-port
[1005]
Underfull \hbox (badness 10000) in paragraph at lines 101489--101492
[]\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 101494--101498
\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 101494--101498
\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 101500--101506
\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 101500--101506
\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 101500--101506
\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 101500--101506
\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 101500--101506
\T1/qtm/m/n/10 con-fig-u-ra-tion. \T1/txtt/m/n/10 CostMetricConfiguration.delet
e <datarobot._experimental.models.genai.

Underfull \hbox (badness 10000) in paragraph at lines 101508--101510
[]\T1/qtm/m/n/10 Added a new class \T1/txtt/m/n/10 LLMCostConfiguration <dataro
bot._experimental.models.genai.
[1006] [1007]
Underfull \hbox (badness 10000) in paragraph at lines 101666--101668
[]\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.

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[]\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 101704--101706
[]\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 101704--101706
\T1/txtt/m/n/10 _experimental.models.genai.comparison_prompt.ComparisonPrompt.u
pdate>\T1/qtm/m/n/10 , to up-date a
[1008]
Underfull \hbox (badness 10000) in paragraph at lines 101772--101774
[]\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.

Underfull \hbox (badness 10000) in paragraph at lines 101859--101865
\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 101859--101865
[][]\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 101859--101865
\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 101859--101865
\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.
[1009]
Underfull \hbox (badness 10000) in paragraph at lines 101902--101904
[]\T1/qtm/m/n/10 Added method meth:\T1/txtt/m/n/10 Deployment.get_predictions_v
s_actuals_over_time <datarobot.models.
[1010]
Underfull \hbox (badness 10000) in paragraph at lines 102040--102046
\T1/txtt/m/sl/10 run[][] [][]BatchMonitoringJob.get_status[][] [][]BatchMonitor
ingJob.cancel[][] [][]BatchMonitoringJob.
[1011]
Underfull \hbox (badness 10000) in paragraph at lines 102106--102115
\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 102106--102115
\T1/txtt/m/sl/10 get[][] [][]BatchMonitoringJobDefinition.create[][] [][]BatchM
onitoringJobDefinition.update[][]

Underfull \hbox (badness 10000) in paragraph at lines 102106--102115
[][]\T1/txtt/m/sl/10 BatchMonitoringJobDefinition.delete[][] [][]BatchMonitorin
gJobDefinition.run_on_schedule[][]

Underfull \hbox (badness 10000) in paragraph at lines 102128--102141
\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 102128--102141
[][]\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 102128--102141
\T1/txtt/m/sl/10 create_from_dataset[][] [][]Project.create_segmented_project_f
rom_clustering_model[][] [][]Project.

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[]\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(...,
[1012]
Underfull \hbox (badness 10000) in paragraph at lines 102173--102175
[]\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 102177--102179
[]\T1/qtm/m/n/10 If the user con-fig-ures the client via env vars, then set the
 env var

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[]\T1/qtm/m/n/10 Added method meth:\T1/txtt/m/n/10 Deployment.get_predictions_o
ver_time <datarobot.models.Deployment.

Underfull \hbox (badness 10000) in paragraph at lines 102228--102243
\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 102228--102243
[][]\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 102228--102243
[][]\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 102273--102275
[]\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.
[1013]
Underfull \hbox (badness 10000) in paragraph at lines 102297--102299
\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 102322--102329
[]\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 -
[1014]
Underfull \hbox (badness 10000) in paragraph at lines 102399--102402
[]\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 102409--102412
[]\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 102424--102427
[]\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 102429--102432
[]\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 102439--102442
[]\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.
[1015]
Underfull \hbox (badness 10000) in paragraph at lines 102575--102579
[]\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 102575--102579
[][]\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 102581--102586
[]\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 102581--102586
[][]\T1/txtt/m/sl/10 DataEngineQueryGenerator.prepare_prediction_dataset_from_c
atalog[][] \T1/qtm/m/n/10 that ap-ply time se-ries

Underfull \hbox (badness 10000) in paragraph at lines 102612--102616
[]\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 ,
[1016]
Underfull \hbox (badness 10000) in paragraph at lines 102683--102685
[]\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
[1017] [1018]
Underfull \hbox (badness 10000) in paragraph at lines 102952--102955
[]\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 102957--102959
[]\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.
[1019]
Underfull \hbox (badness 10000) in paragraph at lines 103040--103042
[][][]\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 103044--103046
[][][]\T1/txtt/m/sl/10 CustomTaskVersion[][]\T1/qtm/m/n/10 's \T1/txtt/m/n/10 r
equired_metadata \T1/qtm/m/n/10 pa-ram-e-ter has been re-moved. Use

Underfull \hbox (badness 6364) in paragraph at lines 103076--103078
[]\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.
[1020]
Underfull \hbox (badness 10000) in paragraph at lines 103128--103133
[]\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 103128--103133
\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 -

Underfull \hbox (badness 10000) in paragraph at lines 103170--103177
[]\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 103170--103177
[][]\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
[1021]
Underfull \hbox (badness 10000) in paragraph at lines 103221--103234
\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 103221--103234
\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 103221--103234
\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 103221--103234
\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 103221--103234
\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.
[1022]
Underfull \hbox (badness 10000) in paragraph at lines 103347--103349
[]\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 103365--103368
[]\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
[1023]
Underfull \hbox (badness 10000) in paragraph at lines 103594--103597
[]\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 ,
[1024]
Underfull \hbox (badness 6268) in paragraph at lines 103689--103692
[]\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 103710--103714
[]\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 103721--103725
[]\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
[1025]
Underfull \hbox (badness 10000) in paragraph at lines 103731--103739
[]\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 103731--103739
\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 103731--103739
\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 103731--103739
\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 103731--103739
\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 103731--103739
[][]\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.
[1026]
Underfull \hbox (badness 10000) in paragraph at lines 103866--103869
[]\T1/qtm/m/n/10 fix [][]\T1/txtt/m/sl/10 datarobot.CustomTaskVersion[][] \T1/q
tm/m/n/10 and [][]\T1/txtt/m/sl/10 datarobot.CustomModelVersion[][] \T1/qtm/m/n
/10 to cor-rectly for-mat

Underfull \hbox (badness 10000) in paragraph at lines 103942--103945
[]\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.
[1027]
Underfull \hbox (badness 10000) in paragraph at lines 104036--104040
[]\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.
[1028]
Underfull \hbox (badness 10000) in paragraph at lines 104138--104141
[]\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 104143--104146
[]\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.
[1029]
Underfull \hbox (badness 7907) in paragraph at lines 104314--104319
[]\T1/qtm/m/n/10 Sup-port for Batch Pre-dic-tion Job Def-i-ni-tions has now bee
n added through the fol-low-ing class:

Underfull \hbox (badness 10000) in paragraph at lines 104356--104359
[]\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.
[1030]
Underfull \hbox (badness 10000) in paragraph at lines 104432--104437
[]\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 104432--104437
\T1/qtm/m/n/10 ing the \T1/txtt/m/n/10 allow_partial_history_time_series_predic
tions \T1/qtm/m/n/10 at-tribute of the [][]\T1/txtt/m/sl/10 datarobot.

Underfull \hbox (badness 10000) in paragraph at lines 104457--104465
[][]\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 104457--104465
\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 104482--104487
\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
[1031]
Underfull \hbox (badness 10000) in paragraph at lines 104522--104525
[]\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 104527--104533
[]\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 104527--104533
\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 104557--104564
[]\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 104557--104564
\T1/txtt/m/sl/10 create[][]\T1/qtm/m/n/10 , [][]\T1/txtt/m/sl/10 CustomModelVer
sion.create_clean[][]\T1/qtm/m/n/10 , [][]\T1/txtt/m/sl/10 CustomModelVersion.c
reate_from_previous[][]\T1/qtm/m/n/10 ,

Underfull \hbox (badness 7814) in paragraph at lines 104571--104577
[]\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
[1032]
Underfull \hbox (badness 10000) in paragraph at lines 104631--104634
[]\T1/qtm/m/n/10 Sup-port for List-ing all the sec-ondary dataset con-fig-u-ra-
tion for a given project: : -

Underfull \hbox (badness 8170) in paragraph at lines 104678--104681
[]\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 104683--104686
\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
[1033]
Underfull \hbox (badness 10000) in paragraph at lines 104763--104768
[]\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 104784--104786
[]\T1/qtm/m/n/10 Class \T1/txtt/m/n/10 FeatureEngineeringGraph \T1/qtm/m/n/10 h
as been re-moved. Use [][]\T1/txtt/m/sl/10 datarobot.models.

Underfull \hbox (badness 10000) in paragraph at lines 104806--104809
[]\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 104811--104814
[]\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.
[1034]
Underfull \hbox (badness 10000) in paragraph at lines 104857--104861
[]\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 104900--104903
[]\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:
[1035]
Underfull \hbox (badness 10000) in paragraph at lines 105043--105052
[]\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 105054--105061
[]\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.
[1036] [1037]
Underfull \hbox (badness 10000) in paragraph at lines 105254--105258
[]\T1/qtm/m/n/10 Batch Pre-dic-tion jobs now sup-port scor-ing to Azure and Goo
gle Cloud Stor-age with meth-ods

Underfull \hbox (badness 8132) in paragraph at lines 105289--105294
[]\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 105309--105313
[]\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 105309--105313
[][]\T1/txtt/m/sl/10 SecondaryDatasetConfigurations.delete[][] \T1/qtm/m/n/10 s
oft deletes a Sec-ondary dataset con-fig-u-ra-tion.
[1038]
Underfull \hbox (badness 10000) in paragraph at lines 105333--105335
[]\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 .
[1039]
Underfull \hbox (badness 10000) in paragraph at lines 105576--105580
[]\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.
[1040]
Underfull \hbox (badness 10000) in paragraph at lines 105644--105648
[]\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 105644--105648
[][]\T1/txtt/m/sl/10 Deployment.get_prediction_intervals_settings[][] \T1/qtm/m
/n/10 and [][]\T1/txtt/m/sl/10 Deployment.

Overfull \hbox (7.70421pt too wide) in paragraph at lines 105677--105679
[]\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 105697--105700
[]\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.
[1041]
Underfull \hbox (badness 7925) in paragraph at lines 105734--105736
[]\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 105742--105747
[]\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
[1042]
Underfull \hbox (badness 10000) in paragraph at lines 105824--105826
[]\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 105824--105826
\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

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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
[1043] [1044]
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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.
[1045]
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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
[1046]
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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.

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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.
[1047]
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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.
[1048]
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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.
[1049]
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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.

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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.
[1050] [1051] [1052]
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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.
[1053]
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[]\T1/qtm/m/n/10 When in-ter-act-ing with date-time par-ti-tioned projects, \T1
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\T1/qtm/m/n/10 cess more in-for-ma-tion spe-cific to mod-els in date-time par-t
i-tioned projects. See :ref:\T1/txtt/m/n/10 the

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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,
[1054]
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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
[1055]
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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.
[1056] [1057]
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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.
[1058] [1059] [1060]
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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

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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
[1061] [1062] [1063] [1064] (./datarobot-public-api-client.ind [1065] [1066]
[1067]
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[]\T1/txtt/m/n/10 bucket_sample_sizes \T1/qtm/m/n/10 (\T1/qtm/m/it/10 datarobot
.models.deployment.custom_metrics.CustomMetricValuesOverBatch prop-erty\T1/qtm/
m/n/10 ),

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[]\T1/txtt/m/n/10 bucket_sample_sizes \T1/qtm/m/n/10 (\T1/qtm/m/it/10 datarobot
.models.deployment.custom_metrics.CustomMetricValuesOverTime prop-erty\T1/qtm/m
/n/10 ),
[1068] [1069]
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[]\T1/txtt/m/n/10 create() \T1/qtm/m/n/10 (\T1/qtm/m/it/10 datarobot.models.gen
ai.evaluation_dataset_configuration.EvaluationDatasetConfiguration class

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[]\T1/txtt/m/n/10 create() \T1/qtm/m/n/10 (\T1/qtm/m/it/10 datarobot.models.gen
ai.evaluation_dataset_metric_aggregation.EvaluationDatasetMetricAggregation
[1070]
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[]\T1/txtt/m/n/10 create() \T1/qtm/m/n/10 (\T1/qtm/m/it/10 datarobot.models.gen
ai.synthetic_evaluation_dataset_generation.SyntheticEvaluationDataset class
[1071] [1072] [1073]
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[]\T1/txtt/m/n/10 delete() \T1/qtm/m/n/10 (\T1/qtm/m/it/10 datarobot.models.gen
ai.evaluation_dataset_metric_aggregation.EvaluationDatasetMetricAggregation
[1074] [1075]
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[]\T1/txtt/m/n/10 EvaluationDatasetMetricAggregation \T1/qtm/m/n/10 (\T1/qtm/m/
it/10 class in datarobot.models.genai.evaluation_dataset_metric_aggregation\T1/
qtm/m/n/10 ),
[1076]
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[]\T1/txtt/m/n/10 find_anomalous_regions() \T1/qtm/m/n/10 (\T1/qtm/m/it/10 data
robot.models.anomaly_assessment.AnomalyAssessmentPredictionsPreview
[1077] [1078] [1079] [1080] [1081]
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[]\T1/txtt/m/n/10 get_buckets_as_dataframe() \T1/qtm/m/n/10 (\T1/qtm/m/it/10 da
tarobot.models.deployment.custom_metrics.CustomMetricValuesOverBatch

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[]\T1/txtt/m/n/10 get_buckets_as_dataframe() \T1/qtm/m/n/10 (\T1/qtm/m/it/10 da
tarobot.models.deployment.custom_metrics.CustomMetricValuesOverTime

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[]\T1/txtt/m/n/10 get_closest_data_for_featurelist() \T1/qtm/m/n/10 (\T1/qtm/m/
it/10 datarobot._experimental.models.data_matching.DataMatching
[1082]
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[]\T1/txtt/m/n/10 get_datasource_definition() \T1/qtm/m/n/10 (\T1/qtm/m/it/10 d
atarobot._experimental.models.chunking_service.DatasetChunkDefinition

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[]\T1/txtt/m/n/10 get_document_page_with_text_locations() \T1/qtm/m/n/10 (\T1/q
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e

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[]\T1/txtt/m/n/10 get_explanations_data_in_regions() \T1/qtm/m/n/10 (\T1/qtm/m/
it/10 datarobot.models.anomaly_assessment.AnomalyAssessmentRecord
[1083] [1084] [1085] [1086] [1087]
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[]\T1/txtt/m/n/10 get_supported_retrieval_settings() \T1/qtm/m/n/10 (\T1/qtm/m/
it/10 datarobot.models.genai.vector_database.VectorDatabase class
[1088]
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[]\T1/txtt/m/n/10 is_model_compliance_initialized \T1/qtm/m/n/10 (\T1/qtm/m/it/
10 datarobot.models.automated_documentation.AutomatedDocument prop-
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[]\T1/txtt/m/n/10 list_all_available_document_types() \T1/qtm/m/n/10 (\T1/qtm/m
/it/10 datarobot.models.automated_documentation.AutomatedDocument

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[]\T1/txtt/m/n/10 list_available_document_types() \T1/qtm/m/n/10 (\T1/qtm/m/it/
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
) [1102] (./datarobot-public-api-client.aux)

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[1] [2] [1] [2]
Chapter 1.
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[][][]\T1/txtt/m/sl/10 Dataset.create_from_url[][] \T1/qtm/m/n/10 takes .csv da
ta from a URL. If you have set

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[][][]\T1/txtt/m/sl/10 Dataset.create_from_data_source[][] \T1/qtm/m/n/10 takes
 data from a data source. If you have set
[4]
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[11] [12] [13] [14] [15] [16] [17] [18] [19] [20] [21] [22] [23] [24] [25]
[26] [27] [28] [29] [30] [31] [32]
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[]\T1/qtm/m/n/10 For mul-ti-class mod-els, you can get a list of per-class lift
 charts us-ing the \T1/txtt/m/n/10 Model \T1/qtm/m/n/10 method

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\T1/qtm/m/n/10 Just as with the lift and ROC charts, you can use \T1/txtt/m/n/1
0 Model \T1/qtm/m/n/10 meth-ods \T1/txtt/m/n/10 get_residuals_chart \T1/qtm/m/n
/10 and
[33] [34] [35] [36] [37] [38] [39]
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[]\T1/qtm/m/n/10 gap_duration (str): A du-ra-tion string such as those re-turne
d by the [][]\T1/txtt/m/sl/10 partitioning_methods.
[40]
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\T1/qtm/m/n/10 and \T1/txtt/m/n/10 validation_start_date\T1/qtm/m/n/10 . Us-ing
 the same date for both \T1/txtt/m/n/10 primary_training_end_date \T1/qtm/m/n/1
0 and

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[]\T1/qtm/m/n/10 For date-time par-ti-tioned model you can re-trieve the Ac-cu-
racy over Time plot. To do so use

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[][]\T1/txtt/m/sl/10 DatetimeModel.get_accuracy_over_time_plot[][]\T1/qtm/m/n/1
0 . You can also re-trieve the de-tailed meta-data us-ing
[41] [42] [43] [44] [45]
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[][][]\T1/txtt/m/sl/10 datarobot.FeatureSettings[][] \T1/qtm/m/n/10 con-struc-t
or re-ceives \T1/txtt/m/n/10 feature_name \T1/qtm/m/n/10 and set-tings. For now
 set-tings
[46]
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[]\T1/qtm/m/n/10 Enough rows of his-tor-i-cal data must be pro-vided to cover t
he span of the ef-fec-tive Fea-ture Deriva-
[47] [48] [49]
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[]\T1/qtm/m/n/10 Pre-dic-tion in-ter-vals can be cal-cu-lated for a [][]\T1/txt
t/m/sl/10 DatetimeModel[][] \T1/qtm/m/n/10 us-ing the [][]\T1/txtt/m/sl/10 Date
timeModel.
[50] [51]
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[54] [55] [56 <./sample1.png> <./sample2.png>] [57 <./activation_map1.png>]
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[]\T1/qtm/m/n/10 1. Up-load a pre-dic-tion dataset, spec-i-fy-ing \T1/txtt/m/n/
10 predictions_start_date\T1/qtm/m/n/10 , \T1/txtt/m/n/10 predictions_end_date\
T1/qtm/m/n/10 , and

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[]\T1/qtm/m/n/10 Up-load a pre-dic-tion dataset that con-tains la-bel col-umn(s
), re-quest com-pute ex-ter-nal test on one of
[64] [65] [66] [67] [68] [69] [70] [71] [72]

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[]\T1/qtm/m/n/10 :::{note} \T1/txtt/m/n/10 PredictionExplanations.get_all_as_da
taframe() \T1/qtm/m/n/10 and \T1/txtt/m/n/10 PredictionExplanations.
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\T1/qtm/m/n/10 If you just want to get gen-er-ated pre-dic-tions from a Pre-dic
-tJob, you can use the \T1/txtt/m/n/10 PredictJob.
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[]\T1/qtm/m/n/10 In or-der to sched-ule the ex-e-cu-tion of a Batch Pre-dic-tio
n job, a def-i-ni-tion must first be cre-ated, us-
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[]|\T1/qtm/m/n/10 The hour(s)

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[]\T1/qtm/m/n/10 Job def-i-ni-tions are only be ex-e-cuted by the sched-uler if
 \T1/txtt/m/n/10 enabled \T1/qtm/m/n/10 is set to \T1/txtt/m/n/10 True\T1/qtm/m
/n/10 . If you have a

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 job, but should now be stopped, sim-ply

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

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[][][]\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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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 mlpkg_file_contents=None\T1/txtt/m/n/10 )|  
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\T1/qtm/m/n/10 Cre-ate a hosted cus-tom met-ric from a tem-plate. A short-cut f
or 2 calls:
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\T1/qtm/m/it/10 is_model_specific\T1/qtm/m/n/10 , 

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

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

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

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\T1/qtm/m/n/10 pub-lic net-work. Val-ues: [\T1/qtm/m/it/10 datarobot.NETWORK_EG
RESS_POLICY.NONE\T1/qtm/m/n/10 ,
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\T1/qtm/m/it/10 datarobot.TARGET_TYPE.REGRESSION\T1/qtm/m/n/10 , \T1/qtm/m/it/1
0 datarobot.TARGET_TYPE.MULTICLASS\T1/qtm/m/n/10 ,

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

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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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MODEL_IMAGE

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s model or CUS-
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RESS_POLICY.NONE\T1/qtm/m/n/10 ,
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e1.txt^^Q,
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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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-dency build :rtype:
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-dency build :rtype:
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\T1/qtm/m/n/10 whether anomaly pre-dic-tions should be cal-i-brated to be be-tw
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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/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
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\T1/qtm/m/n/10 SCHEMA . TABLE _ NAME$[][]' - `[][]$jdbc : DATA _ SOURCE _ GIVEN
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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
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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
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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
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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
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ngs, see
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\T1/qtm/m/n/10 Re-trieve drift in-for-ma-tion for de-ploy-ment's fea-tures over
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\T1/txtt/m/n/10 pairwise_conditional_probabilities.statistic_dataframes[(0,1)].

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s to
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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 71294--71299
[][]\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
[724] [725] [726]
Underfull \hbox (badness 10000) in paragraph at lines 71649--71654
[]\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 71649--71654
[][]\T1/txtt/m/sl/10 partitioning_methods.construct_duration_string[][] \T1/qtm
/m/n/10 helper method. Please see [][]\T1/qtm/m/it/10 date-time
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Underfull \hbox (badness 5359) in paragraph at lines 73270--73273
\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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Underfull \hbox (badness 10000) in paragraph at lines 74713--74718
[]\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 74713--74718
[][]\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
[754] [755] [756] [757] [758] [759] [760]
Underfull \hbox (badness 5592) in paragraph at lines 75374--75380
\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 75374--75380
\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 75419--75424
[]\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 75419--75424
[][]\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
[761] [762] [763] [764] [765] [766] [767]
Overfull \hbox (3.26418pt too wide) in paragraph at lines 76349--76349
\T1/qtm/m/it/10 low_partial_history_time_series_predictions=False\T1/qtm/m/n/10
 , 
[768]
Underfull \hbox (badness 10000) in paragraph at lines 76359--76362
[]\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 76369--76372
[]\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 76379--76383
\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 76388--76394
\T1/qtm/m/n/10 [datetime.datetime or None] The start date of hold-out scor-ing 
data. If
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Underfull \hbox (badness 10000) in paragraph at lines 76672--76677
[]\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 ,
[773] [774] [775]
Underfull \hbox (badness 10000) in paragraph at lines 76899--76903
\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 .
[776] [777] [778] [779] [780] [781]
Underfull \hbox (badness 5563) in paragraph at lines 77528--77537
\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
[782] [783]
Underfull \hbox (badness 10000) in paragraph at lines 77726--77729
[]\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 77726--77729
\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.
[784] [785]
Underfull \hbox (badness 10000) in paragraph at lines 77946--77955
\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 77946--77955
\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 77946--77955
\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 ,
[786] [787] [788] [789] [790] [791] [792] [793] [794] [795] [796] [797]
[798] [799] [800]
Underfull \hbox (badness 10000) in paragraph at lines 79639--79642
[]\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 79644--79647
[]\T1/qtm/m/n/10 Com-pute pre-dic-tions for the model and dataset via \T1/txtt/
m/n/10 datarobot.Model.
[801]
Underfull \hbox (badness 6708) in paragraph at lines 79716--79722
\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 79716--79722
\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 79732--79735
[]\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 79737--79740
[]\T1/qtm/m/n/10 Com-pute pre-dic-tions for the model and dataset via \T1/txtt/
m/n/10 datarobot.Model.
[802] [803] [804]
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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 )|  
[805]
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\T1/qtm/m/it/10 tion_explanations_record_location=None\T1/qtm/m/n/10 , 

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\T1/qtm/m/it/10 ment_method=None\T1/txtt/m/n/10 )|  
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Underfull \hbox (badness 10000) in paragraph at lines 82138--82141
[]\T1/qtm/m/n/10 Project.list(search_params={`project_name': `red'}) >>> [Proje
ct(`Prediction Time'),
[825] [826] [827]
(/usr/share/texlive/texmf-dist/tex/latex/fontawesome5/ufontawesomefree2.fd)
[828]
Underfull \hbox (badness 10000) in paragraph at lines 82519--82522
\T1/qtm/m/n/10 [ClassMappingAggregationSettings, op-tional] In-stance of \T1/tx
tt/m/n/10 datarobot.helpers.
[829] [830]
Underfull \hbox (badness 10000) in paragraph at lines 82748--82756
\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 82748--82756
\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 82748--82756
\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 82748--82756
\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

[831] [832] [833] [834] [835]
Underfull \hbox (badness 10000) in paragraph at lines 83157--83160
\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
[836] [837] [838] [839] [840] [841] [842] [843] [844] [845] [846] [847]
[848] [849]
Underfull \hbox (badness 5592) in paragraph at lines 84577--84583
\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 84577--84583
\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 84652--84657
[]\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 84652--84657
[][]\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
[850] [851] [852] [853] [854] [855] [856] [857]
Underfull \hbox (badness 10000) in paragraph at lines 85475--85480
\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 85475--85480
\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 85533--85539
\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 85533--85539
\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 85533--85539
\T1/txtt/m/n/10 predictionBalance\T1/qtm/m/n/10 , \T1/txtt/m/n/10 trueFavorable
AndUnfavorableRateParity \T1/qtm/m/n/10 or
[858] [859] [860]
Underfull \hbox (badness 10000) in paragraph at lines 85717--85721
\T1/qtm/m/n/10 [PartitioningMethod, op-tional] An in-stance of \T1/txtt/m/n/10 
datarobot.helpers.
[861] [862]
Underfull \hbox (badness 10000) in paragraph at lines 86010--86012
\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.
[863] [864] [865]
Underfull \hbox (badness 10000) in paragraph at lines 86299--86302
\T1/qtm/m/n/10 In-stance of the Date-timePar-ti-tion-ing de-fined in \T1/txtt/m
/n/10 datarobot.helpers.
[866] [867] [868]
Underfull \hbox (badness 10000) in paragraph at lines 86751--86758
[]\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
[869] [870] [871] [872] [873]
Overfull \hbox (52.55392pt too wide) in paragraph at lines 87518--87518
\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 87518--87518
\T1/qtm/m/it/10 rolling_most_frequent_udf=None\T1/txtt/m/n/10 )|  

Overfull \hbox (31.55399pt too wide) in paragraph at lines 87533--87533
\T1/qtm/m/it/10 time_partition_column\T1/qtm/m/n/10 , 

Overfull \hbox (37.944pt too wide) in paragraph at lines 87533--87533
\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 , 
[874]
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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 87637--87637
\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 )|  
[884]
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\T1/qtm/m/it/10 ble_with_leaderboard_model_id=None\T1/qtm/m/n/10 , 

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

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\T1/qtm/m/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 , 
[885]
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\T1/qtm/m/it/10 ble_with_leaderboard_model_id=None\T1/qtm/m/n/10 , 

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

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

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\T1/qtm/m/n/10 Time unit of the fea-ture deriva-tion win-dow. One of \T1/txtt/m
/n/10 datarobot.enums.
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\T1/qtm/m/n/10 Time unit of the fea-ture deriva-tion win-dow. One of \T1/txtt/m
/n/10 datarobot.enums.
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Underfull \hbox (badness 10000) in paragraph at lines 90811--90815
\T1/qtm/m/n/10 Re-trieve a sin-gle sec-ondary dataset con-fig-u-ra-tion for a g
iven id :rtype:
[907]
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\T1/qtm/m/it/10 not_added_to_menu=None\T1/qtm/m/n/10 , 
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\T1/qtm/m/it/10 **kwargs\T1/txtt/m/n/10 )|  

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

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

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

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

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\T1/qtm/m/it/10 **kwargs\T1/txtt/m/n/10 )|  
[944]
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\T1/qtm/m/it/10 info_creator_full_name\T1/qtm/m/n/10 , 

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\T1/qtm/m/it/10 last_modifier_full_name=None\T1/qtm/m/n/10 , 
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[957]
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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/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
[997]
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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.
[998]
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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
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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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on <datarobot._experimental.models.

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

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

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

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

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

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

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

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

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

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

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

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\T1/txtt/m/n/10 evaluation_dataset_configuration.EvaluationDatasetConfiguration
.delete> \T1/qtm/m/n/10 to delete an

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

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

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

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

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

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

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

Underfull \hbox (badness 10000) in paragraph at lines 100977--100982
\T1/txtt/m/n/10 <datarobot._experimental.models.genai.evaluation_dataset_metric
_aggregation.

Underfull \hbox (badness 10000) in paragraph at lines 100984--100987
[]\T1/qtm/m/n/10 Added a new class \T1/txtt/m/n/10 SyntheticEvaluationDataset <
datarobot._experimental.models.genai.
[1000]
Underfull \hbox (badness 10000) in paragraph at lines 100989--100997
[]\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 100989--100997
\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 100989--100997
\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 100989--100997
\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 100989--100997
\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 100989--100997
\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 100989--100997
\T1/qtm/m/n/10 tion. \T1/txtt/m/n/10 SidecarModelMetricValidation.revalidate <d
atarobot._experimental.models.genai.
[1001]
Underfull \hbox (badness 10000) in paragraph at lines 101086--101088
[]\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
[1002]
Underfull \hbox (badness 10000) in paragraph at lines 101264--101266
[][][]\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
[1003]
Underfull \hbox (badness 10000) in paragraph at lines 101341--101344
[]\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
[1004]
Underfull \hbox (badness 10000) in paragraph at lines 101402--101404
[]\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.

Underfull \hbox (badness 10000) in paragraph at lines 101479--101481
[]\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 101483--101487
[]\T1/qtm/m/n/10 Added a new class \T1/txtt/m/n/10 PromptTrace <datarobot._expe
rimental.models.genai.prompt_trace.

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

Underfull \hbox (badness 10000) in paragraph at lines 101483--101487
\T1/txtt/m/n/10 _experimental.models.genai.prompt_trace.PromptTrace.export_to_a
i_catalog> \T1/qtm/m/n/10 to ex-port
[1005]
Underfull \hbox (badness 10000) in paragraph at lines 101489--101492
[]\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 101494--101498
\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 101494--101498
\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 101500--101506
\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 101500--101506
\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 101500--101506
\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 101500--101506
\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 101500--101506
\T1/qtm/m/n/10 con-fig-u-ra-tion. \T1/txtt/m/n/10 CostMetricConfiguration.delet
e <datarobot._experimental.models.genai.

Underfull \hbox (badness 10000) in paragraph at lines 101508--101510
[]\T1/qtm/m/n/10 Added a new class \T1/txtt/m/n/10 LLMCostConfiguration <dataro
bot._experimental.models.genai.
[1006] [1007]
Underfull \hbox (badness 10000) in paragraph at lines 101666--101668
[]\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 101670--101672
[]\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 101704--101706
[]\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 101704--101706
\T1/txtt/m/n/10 _experimental.models.genai.comparison_prompt.ComparisonPrompt.u
pdate>\T1/qtm/m/n/10 , to up-date a
[1008]
Underfull \hbox (badness 10000) in paragraph at lines 101772--101774
[]\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.

Underfull \hbox (badness 10000) in paragraph at lines 101859--101865
\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 101859--101865
[][]\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 101859--101865
\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 101859--101865
\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.
[1009]
Underfull \hbox (badness 10000) in paragraph at lines 101902--101904
[]\T1/qtm/m/n/10 Added method meth:\T1/txtt/m/n/10 Deployment.get_predictions_v
s_actuals_over_time <datarobot.models.
[1010]
Underfull \hbox (badness 10000) in paragraph at lines 102040--102046
\T1/txtt/m/sl/10 run[][] [][]BatchMonitoringJob.get_status[][] [][]BatchMonitor
ingJob.cancel[][] [][]BatchMonitoringJob.
[1011]
Underfull \hbox (badness 10000) in paragraph at lines 102106--102115
\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 102106--102115
\T1/txtt/m/sl/10 get[][] [][]BatchMonitoringJobDefinition.create[][] [][]BatchM
onitoringJobDefinition.update[][]

Underfull \hbox (badness 10000) in paragraph at lines 102106--102115
[][]\T1/txtt/m/sl/10 BatchMonitoringJobDefinition.delete[][] [][]BatchMonitorin
gJobDefinition.run_on_schedule[][]

Underfull \hbox (badness 10000) in paragraph at lines 102128--102141
\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 102128--102141
[][]\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 102128--102141
\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 102169--102171
[]\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(...,
[1012]
Underfull \hbox (badness 10000) in paragraph at lines 102173--102175
[]\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 102177--102179
[]\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 102186--102188
[]\T1/qtm/m/n/10 Added method meth:\T1/txtt/m/n/10 Deployment.get_predictions_o
ver_time <datarobot.models.Deployment.

Underfull \hbox (badness 10000) in paragraph at lines 102228--102243
\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 102228--102243
[][]\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 102228--102243
[][]\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 102273--102275
[]\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.
[1013]
Underfull \hbox (badness 10000) in paragraph at lines 102297--102299
\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 102322--102329
[]\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 -
[1014]
Underfull \hbox (badness 10000) in paragraph at lines 102399--102402
[]\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 102409--102412
[]\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 102424--102427
[]\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 102429--102432
[]\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 102439--102442
[]\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.
[1015]
Underfull \hbox (badness 10000) in paragraph at lines 102575--102579
[]\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 102575--102579
[][]\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 102581--102586
[]\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 102581--102586
[][]\T1/txtt/m/sl/10 DataEngineQueryGenerator.prepare_prediction_dataset_from_c
atalog[][] \T1/qtm/m/n/10 that ap-ply time se-ries

Underfull \hbox (badness 10000) in paragraph at lines 102612--102616
[]\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 ,
[1016]
Underfull \hbox (badness 10000) in paragraph at lines 102683--102685
[]\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
[1017] [1018]
Underfull \hbox (badness 10000) in paragraph at lines 102952--102955
[]\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 102957--102959
[]\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.
[1019]
Underfull \hbox (badness 10000) in paragraph at lines 103040--103042
[][][]\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 103044--103046
[][][]\T1/txtt/m/sl/10 CustomTaskVersion[][]\T1/qtm/m/n/10 's \T1/txtt/m/n/10 r
equired_metadata \T1/qtm/m/n/10 pa-ram-e-ter has been re-moved. Use

Underfull \hbox (badness 6364) in paragraph at lines 103076--103078
[]\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.
[1020]
Underfull \hbox (badness 10000) in paragraph at lines 103128--103133
[]\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 103128--103133
\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 -

Underfull \hbox (badness 10000) in paragraph at lines 103170--103177
[]\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 103170--103177
[][]\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
[1021]
Underfull \hbox (badness 10000) in paragraph at lines 103221--103234
\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 103221--103234
\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 103221--103234
\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 103221--103234
\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 103221--103234
\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.
[1022]
Underfull \hbox (badness 10000) in paragraph at lines 103347--103349
[]\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 103365--103368
[]\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
[1023]
Underfull \hbox (badness 10000) in paragraph at lines 103594--103597
[]\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 ,
[1024]
Underfull \hbox (badness 6268) in paragraph at lines 103689--103692
[]\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 103710--103714
[]\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 103721--103725
[]\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
[1025]
Underfull \hbox (badness 10000) in paragraph at lines 103731--103739
[]\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 103731--103739
\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 103731--103739
\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 103731--103739
\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 103731--103739
\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 103731--103739
[][]\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.
[1026]
Underfull \hbox (badness 10000) in paragraph at lines 103866--103869
[]\T1/qtm/m/n/10 fix [][]\T1/txtt/m/sl/10 datarobot.CustomTaskVersion[][] \T1/q
tm/m/n/10 and [][]\T1/txtt/m/sl/10 datarobot.CustomModelVersion[][] \T1/qtm/m/n
/10 to cor-rectly for-mat

Underfull \hbox (badness 10000) in paragraph at lines 103942--103945
[]\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.
[1027]
Underfull \hbox (badness 10000) in paragraph at lines 104036--104040
[]\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.
[1028]
Underfull \hbox (badness 10000) in paragraph at lines 104138--104141
[]\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 104143--104146
[]\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.
[1029]
Underfull \hbox (badness 7907) in paragraph at lines 104314--104319
[]\T1/qtm/m/n/10 Sup-port for Batch Pre-dic-tion Job Def-i-ni-tions has now bee
n added through the fol-low-ing class:

Underfull \hbox (badness 10000) in paragraph at lines 104356--104359
[]\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.
[1030]
Underfull \hbox (badness 10000) in paragraph at lines 104432--104437
[]\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 104432--104437
\T1/qtm/m/n/10 ing the \T1/txtt/m/n/10 allow_partial_history_time_series_predic
tions \T1/qtm/m/n/10 at-tribute of the [][]\T1/txtt/m/sl/10 datarobot.

Underfull \hbox (badness 10000) in paragraph at lines 104457--104465
[][]\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 104457--104465
\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 104482--104487
\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
[1031]
Underfull \hbox (badness 10000) in paragraph at lines 104522--104525
[]\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 104527--104533
[]\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 104527--104533
\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 104557--104564
[]\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 104557--104564
\T1/txtt/m/sl/10 create[][]\T1/qtm/m/n/10 , [][]\T1/txtt/m/sl/10 CustomModelVer
sion.create_clean[][]\T1/qtm/m/n/10 , [][]\T1/txtt/m/sl/10 CustomModelVersion.c
reate_from_previous[][]\T1/qtm/m/n/10 ,

Underfull \hbox (badness 7814) in paragraph at lines 104571--104577
[]\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
[1032]
Underfull \hbox (badness 10000) in paragraph at lines 104631--104634
[]\T1/qtm/m/n/10 Sup-port for List-ing all the sec-ondary dataset con-fig-u-ra-
tion for a given project: : -

Underfull \hbox (badness 8170) in paragraph at lines 104678--104681
[]\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 104683--104686
\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
[1033]
Underfull \hbox (badness 10000) in paragraph at lines 104763--104768
[]\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 104784--104786
[]\T1/qtm/m/n/10 Class \T1/txtt/m/n/10 FeatureEngineeringGraph \T1/qtm/m/n/10 h
as been re-moved. Use [][]\T1/txtt/m/sl/10 datarobot.models.

Underfull \hbox (badness 10000) in paragraph at lines 104806--104809
[]\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 104811--104814
[]\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.
[1034]
Underfull \hbox (badness 10000) in paragraph at lines 104857--104861
[]\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 104900--104903
[]\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:
[1035]
Underfull \hbox (badness 10000) in paragraph at lines 105043--105052
[]\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 105054--105061
[]\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.
[1036] [1037]
Underfull \hbox (badness 10000) in paragraph at lines 105254--105258
[]\T1/qtm/m/n/10 Batch Pre-dic-tion jobs now sup-port scor-ing to Azure and Goo
gle Cloud Stor-age with meth-ods

Underfull \hbox (badness 8132) in paragraph at lines 105289--105294
[]\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 105309--105313
[]\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 105309--105313
[][]\T1/txtt/m/sl/10 SecondaryDatasetConfigurations.delete[][] \T1/qtm/m/n/10 s
oft deletes a Sec-ondary dataset con-fig-u-ra-tion.
[1038]
Underfull \hbox (badness 10000) in paragraph at lines 105333--105335
[]\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 .
[1039]
Underfull \hbox (badness 10000) in paragraph at lines 105576--105580
[]\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.
[1040]
Underfull \hbox (badness 10000) in paragraph at lines 105644--105648
[]\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 105644--105648
[][]\T1/txtt/m/sl/10 Deployment.get_prediction_intervals_settings[][] \T1/qtm/m
/n/10 and [][]\T1/txtt/m/sl/10 Deployment.

Overfull \hbox (7.70421pt too wide) in paragraph at lines 105677--105679
[]\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 105697--105700
[]\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.
[1041]
Underfull \hbox (badness 7925) in paragraph at lines 105734--105736
[]\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 105742--105747
[]\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
[1042]
Underfull \hbox (badness 10000) in paragraph at lines 105824--105826
[]\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 105824--105826
\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

Underfull \hbox (badness 7451) in paragraph at lines 105910--105913
[]\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 105910--105913
\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
[1043] [1044]
Underfull \hbox (badness 10000) in paragraph at lines 106114--106123
[]\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 106114--106123
[][]\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.
[1045]
Underfull \hbox (badness 10000) in paragraph at lines 106153--106155
[][][]\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
[1046]
Underfull \hbox (badness 10000) in paragraph at lines 106275--106278
[]\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 106294--106299
[]\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 106294--106299
\T1/qtm/m/n/10 the \T1/txtt/m/n/10 use_cross_series_features \T1/qtm/m/n/10 and
 \T1/txtt/m/n/10 aggregation_type \T1/qtm/m/n/10 at-tributes of the [][]\T1/txt
t/m/sl/10 datarobot.

Underfull \hbox (badness 10000) in paragraph at lines 106325--106329
[]\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.
[1047]
Underfull \hbox (badness 10000) in paragraph at lines 106412--106420
[]\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 106412--106420
\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 106435--106438
[]\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 106445--106447
[]\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.
[1048]
Underfull \hbox (badness 10000) in paragraph at lines 106487--106491
[][][]\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.
[1049]
Underfull \hbox (badness 10000) in paragraph at lines 106604--106608
[]\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 106604--106608
\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 106624--106628
[]\T1/qtm/m/n/10 New pa-ram-e-ters \T1/txtt/m/n/10 predictions_start_date \T1/q
tm/m/n/10 and \T1/txtt/m/n/10 predictions_end_date \T1/qtm/m/n/10 added to [][]
\T1/txtt/m/sl/10 Project.

Underfull \hbox (badness 5302) in paragraph at lines 106650--106654
\T1/qtm/m/n/10 re-cated and will be re-moved in 2.14. Use [][]\T1/txtt/m/sl/10 
datarobot.DatetimePartitioningSpecification.
[1050] [1051] [1052]
Underfull \hbox (badness 10000) in paragraph at lines 106914--106917
[]\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.
[1053]
Underfull \hbox (badness 10000) in paragraph at lines 107014--107019
[]\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 107014--107019
\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

Underfull \hbox (badness 10000) in paragraph at lines 107097--107099
[]\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,
[1054]
Underfull \hbox (badness 10000) in paragraph at lines 107201--107205
[]\T1/qtm/m/n/10 (Only rel-e-vant for on-premise users with a Stan-dalone Scor-
ing clus-ter.) Meth-ods
[1055]
Underfull \hbox (badness 6268) in paragraph at lines 107316--107320
[]\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.
[1056] [1057]
Underfull \hbox (badness 10000) in paragraph at lines 107452--107454
[]\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.
[1058] [1059] [1060]
Underfull \hbox (badness 6016) in paragraph at lines 107796--107800
[]\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 107816--107821
[]\T1/qtm/m/n/10 If a \T1/txtt/m/n/10 ClientError \T1/qtm/m/n/10 or \T1/txtt/m/
n/10 ServerError \T1/qtm/m/n/10 oc-curs dur-ing a call to \T1/txtt/m/n/10 Proje
ct.from_async\T1/qtm/m/n/10 , then a

Underfull \hbox (badness 10000) in paragraph at lines 107887--107890
[]\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
[1061] [1062] [1063] [1064] (./datarobot-public-api-client.ind [1065] [1066]
[1067]
Underfull \hbox (badness 5548) in paragraph at lines 112--114
[]\T1/txtt/m/n/10 bucket_sample_sizes \T1/qtm/m/n/10 (\T1/qtm/m/it/10 datarobot
.models.deployment.custom_metrics.CustomMetricValuesOverBatch prop-erty\T1/qtm/
m/n/10 ),

Underfull \hbox (badness 10000) in paragraph at lines 114--116
[]\T1/txtt/m/n/10 bucket_sample_sizes \T1/qtm/m/n/10 (\T1/qtm/m/it/10 datarobot
.models.deployment.custom_metrics.CustomMetricValuesOverTime prop-erty\T1/qtm/m
/n/10 ),
[1068] [1069]
Underfull \hbox (badness 10000) in paragraph at lines 326--328
[]\T1/txtt/m/n/10 create() \T1/qtm/m/n/10 (\T1/qtm/m/it/10 datarobot.models.gen
ai.evaluation_dataset_configuration.EvaluationDatasetConfiguration class

Underfull \hbox (badness 10000) in paragraph at lines 328--330
[]\T1/txtt/m/n/10 create() \T1/qtm/m/n/10 (\T1/qtm/m/it/10 datarobot.models.gen
ai.evaluation_dataset_metric_aggregation.EvaluationDatasetMetricAggregation
[1070]
Underfull \hbox (badness 10000) in paragraph at lines 344--346
[]\T1/txtt/m/n/10 create() \T1/qtm/m/n/10 (\T1/qtm/m/it/10 datarobot.models.gen
ai.synthetic_evaluation_dataset_generation.SyntheticEvaluationDataset class
[1071] [1072] [1073]
Underfull \hbox (badness 10000) in paragraph at lines 661--663
[]\T1/txtt/m/n/10 delete() \T1/qtm/m/n/10 (\T1/qtm/m/it/10 datarobot.models.gen
ai.evaluation_dataset_metric_aggregation.EvaluationDatasetMetricAggregation
[1074] [1075]
Overfull \hbox (6.44446pt too wide) in paragraph at lines 810--812
[]\T1/txtt/m/n/10 EvaluationDatasetMetricAggregation \T1/qtm/m/n/10 (\T1/qtm/m/
it/10 class in datarobot.models.genai.evaluation_dataset_metric_aggregation\T1/
qtm/m/n/10 ),
[1076]
Underfull \hbox (badness 10000) in paragraph at lines 874--876
[]\T1/txtt/m/n/10 find_anomalous_regions() \T1/qtm/m/n/10 (\T1/qtm/m/it/10 data
robot.models.anomaly_assessment.AnomalyAssessmentPredictionsPreview
[1077] [1078] [1079] [1080] [1081]
Underfull \hbox (badness 10000) in paragraph at lines 1340--1342
[]\T1/txtt/m/n/10 get_buckets_as_dataframe() \T1/qtm/m/n/10 (\T1/qtm/m/it/10 da
tarobot.models.deployment.custom_metrics.CustomMetricValuesOverBatch

Underfull \hbox (badness 10000) in paragraph at lines 1342--1344
[]\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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e

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robot._experimental.models.chunking_service.DatasetChunkDefinition class
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tarobot.models.user_blueprints.models.UserBlueprintValidateTaskParameters
) [1102] (./datarobot-public-api-client.aux)

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