Read the Docs build information
Build id: 3127800
Project: datarobot-public-api-client
Version: early-access
Commit: 7ba7d7f819409a6fcec24de3cde646414716c7a0
Date: 2025-06-17T16:05:59.091307Z
State: finished
Success: True


[rtd-command-info] start-time: 2025-06-17T16:05:59.923264Z, end-time: 2025-06-17T16:06:03.181455Z, duration: 3, exit-code: 0
git clone --depth 1 git@github.com:datarobot/public_api_client.git .
Cloning into '.'...
Warning: Permanently added 'github.com' (ED25519) to the list of known hosts.

[rtd-command-info] start-time: 2025-06-17T16:06:03.222017Z, end-time: 2025-06-17T16:06:06.288670Z, duration: 3, exit-code: 0
git fetch origin --force --prune --prune-tags --depth 50 refs/tags/early-access:refs/tags/early-access
Warning: Permanently added 'github.com' (ED25519) to the list of known hosts.
Warning: Permanently added 'github.com' (ED25519) to the list of known hosts.
From github.com:datarobot/public_api_client
 * [new tag]         release/11.1-DRY-RUN-branchpoint -> release/11.1-DRY-RUN-branchpoint

[rtd-command-info] start-time: 2025-06-17T16:06:06.376986Z, end-time: 2025-06-17T16:06:06.831378Z, duration: 0, exit-code: 0
git checkout --force 7ba7d7f819409a6fcec24de3cde646414716c7a0
Note: switching to '7ba7d7f819409a6fcec24de3cde646414716c7a0'.

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 7ba7d7f [DM-18140] Add `File.search_catalog()` method (#3686)

[rtd-command-info] start-time: 2025-06-17T16:06:06.867012Z, end-time: 2025-06-17T16:06:06.909631Z, duration: 0, exit-code: 0
cat .readthedocs.yml
# .readthedocs.yml
# Read the Docs configuration file
# See https://docs.readthedocs.io/en/stable/config-file/v2.html for details

# Required
version: 2

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

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

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

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

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

[rtd-command-info] start-time: 2025-06-17T16:06:13.422574Z, end-time: 2025-06-17T16:06:13.483756Z, duration: 0, exit-code: 0
asdf global python 3.11.12


[rtd-command-info] start-time: 2025-06-17T16:06:13.891748Z, end-time: 2025-06-17T16:06:14.964469Z, duration: 1, exit-code: 0
python -mvirtualenv $READTHEDOCS_VIRTUALENV_PATH
created virtual environment CPython3.11.12.final.0-64 in 779ms
  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: 2025-06-17T16:06:15.007943Z, end-time: 2025-06-17T16:06:23.414449Z, duration: 8, exit-code: 0
python -m pip install --upgrade --no-cache-dir pip setuptools
Requirement already satisfied: pip in /home/docs/checkouts/readthedocs.org/user_builds/datarobot-public-api-client/envs/early-access/lib/python3.11/site-packages (23.1)
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Installing collected packages: setuptools, pip
  Attempting uninstall: setuptools
    Found existing installation: setuptools 67.6.1
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      Successfully uninstalled setuptools-67.6.1
  Attempting uninstall: pip
    Found existing installation: pip 23.1
    Uninstalling pip-23.1:
      Successfully uninstalled pip-23.1
Successfully installed pip-25.1.1 setuptools-80.9.0

[rtd-command-info] start-time: 2025-06-17T16:06:23.469307Z, end-time: 2025-06-17T16:06:28.160701Z, duration: 4, exit-code: 0
python -m pip install --upgrade --no-cache-dir sphinx
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Downloading requests-2.32.4-py3-none-any.whl (64 kB)
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Installing collected packages: urllib3, sphinxcontrib-serializinghtml, sphinxcontrib-qthelp, sphinxcontrib-jsmath, sphinxcontrib-htmlhelp, sphinxcontrib-devhelp, sphinxcontrib-applehelp, snowballstemmer, roman-numerals-py, Pygments, packaging, MarkupSafe, imagesize, idna, docutils, charset_normalizer, certifi, babel, alabaster, requests, Jinja2, sphinx

Successfully installed Jinja2-3.1.6 MarkupSafe-3.0.2 Pygments-2.19.1 alabaster-1.0.0 babel-2.17.0 certifi-2025.6.15 charset_normalizer-3.4.2 docutils-0.21.2 idna-3.10 imagesize-1.4.1 packaging-25.0 requests-2.32.4 roman-numerals-py-3.1.0 snowballstemmer-3.0.1 sphinx-8.2.3 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 urllib3-2.4.0

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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
  Installing build dependencies: finished with status 'done'
  Getting requirements to build wheel: started
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Building wheels for collected packages: datarobot, jupyter_contrib_nbextensions, jupyter_contrib_core
  Building wheel for datarobot (pyproject.toml): started
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  Created wheel for datarobot: filename=datarobot-3.8.0b0-py3-none-any.whl size=1199865 sha256=883b52e5845a3a912feda72c89b32bfeb94288fb5d62b8024319b00a1e16aa76
  Stored in directory: /tmp/pip-ephem-wheel-cache-rrdp0_59/wheels/12/51/52/5f992eb255f4bd779289aa206fd750c83ef8c86789e797f5af
  DEPRECATION: Building 'jupyter_contrib_nbextensions' using the legacy setup.py bdist_wheel mechanism, which will be removed in a future version. pip 25.3 will enforce this behaviour change. A possible replacement is to use the standardized build interface by setting the `--use-pep517` option, (possibly combined with `--no-build-isolation`), or adding a `pyproject.toml` file to the source tree of 'jupyter_contrib_nbextensions'. Discussion can be found at https://github.com/pypa/pip/issues/6334
  Building wheel for jupyter_contrib_nbextensions (setup.py): started
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  Stored in directory: /tmp/pip-ephem-wheel-cache-rrdp0_59/wheels/cd/25/fe/cb6f3e82f5b1921b0157ac9e32adb2e54806ec1befc446be21
  DEPRECATION: Building 'jupyter_contrib_core' using the legacy setup.py bdist_wheel mechanism, which will be removed in a future version. pip 25.3 will enforce this behaviour change. A possible replacement is to use the standardized build interface by setting the `--use-pep517` option, (possibly combined with `--no-build-isolation`), or adding a `pyproject.toml` file to the source tree of 'jupyter_contrib_core'. Discussion can be found at https://github.com/pypa/pip/issues/6334
  Building wheel for jupyter_contrib_core (setup.py): started
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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, ipython-pygments-lexers, iniconfig, h11, grpcio, fqdn, executing, dill, defusedxml, decorator, debugpy, coverage, click, cachetools, bleach, attrs, async-lru, asttokens, terminado, stack_data, Sphinx, 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-external-toc, sphinx-copybutton, sphinx-autodoc-typehints, pytest-cov, pytest-asyncio, pylint, pandas, 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
  Attempting uninstall: Sphinx
    Found existing installation: Sphinx 8.2.3
    Uninstalling Sphinx-8.2.3:
      Successfully uninstalled Sphinx-8.2.3

Successfully installed Pillow-10.4.0 Sphinx-8.1.3 anyio-4.9.0 argon2-cffi-25.1.0 argon2-cffi-bindings-21.2.0 arrow-1.3.0 astroid-2.13.5 asttokens-3.0.0 async-lru-2.0.5 attrs-25.3.0 beautifulsoup4-4.13.4 black-24.4.2 bleach-6.2.0 cachetools-5.5.2 cffi-1.17.1 click-8.2.1 comm-0.2.2 coverage-7.9.1 databricks-connect-16.1.6 databricks-sdk-0.57.0 datarobot-3.8.0b0 debugpy-1.8.14 decorator-5.2.1 defusedxml-0.7.1 dill-0.4.0 executing-2.2.0 fastjsonschema-2.21.1 flake8-5.0.4 fqdn-1.5.1 google-auth-2.40.3 googleapis-common-protos-1.70.0 grpcio-1.73.0 grpcio-status-1.73.0 h11-0.16.0 httpcore-1.0.9 httpx-0.28.1 iniconfig-2.1.0 ipykernel-6.29.5 ipython-9.3.0 ipython-pygments-lexers-1.1.1 ipython_genutils-0.2.0 isoduration-20.11.0 isort-5.10.1 jedi-0.19.2 json5-0.12.0 jsonpointer-3.0.0 jsonschema-4.24.0 jsonschema-specifications-2025.4.1 jupyter-client-8.6.3 jupyter-core-5.8.1 jupyter-events-0.12.0 jupyter-lsp-2.2.5 jupyter-server-2.16.0 jupyter-server-terminals-0.5.3 jupyter_contrib_core-0.4.2 jupyter_contrib_nbextensions-0.7.0 jupyter_highlight_selected_word-0.2.0 jupyter_nbextensions_configurator-0.6.4 jupyterlab-4.4.3 jupyterlab-pygments-0.3.0 jupyterlab-server-2.27.3 lazy-object-proxy-1.11.0 lxml-5.4.0 markdown-it-py-3.0.0 matplotlib-inline-0.1.7 mccabe-0.7.0 mdit-py-plugins-0.4.2 mdurl-0.1.2 mistune-3.1.3 mypy-1.0.0 mypy-extensions-1.1.0 myst-parser-4.0.0 nbclient-0.10.2 nbconvert-7.16.6 nbformat-5.10.4 nbsphinx-0.9.7 nest-asyncio-1.6.0 notebook-7.4.3 notebook-shim-0.2.4 numpy-1.26.4 overrides-7.7.0 pandas-2.3.0 pandocfilters-1.5.1 parso-0.8.4 pathspec-0.12.1 pexpect-4.9.0 platformdirs-4.3.8 pluggy-1.6.0 prometheus-client-0.22.1 prompt_toolkit-3.0.51 protobuf-6.31.1 psutil-7.0.0 ptyprocess-0.7.0 pure-eval-0.2.3 py4j-0.10.9.7 pyarrow-20.0.0 pyasn1-0.6.1 pyasn1-modules-0.4.2 pycodestyle-2.9.1 pycparser-2.22 pyenchant-3.2.2 pyflakes-2.5.0 pylint-2.15.0 pytest-8.4.0 pytest-asyncio-0.21.1 pytest-cov-6.2.1 python-dateutil-2.9.0.post0 python-json-logger-3.3.0 pytz-2025.2 pyyaml-6.0.2 pyzmq-27.0.0 referencing-0.36.2 requests_toolbelt-1.0.0 responses-0.21.0 rfc3339-validator-0.1.4 rfc3986-validator-0.1.1 rpds-py-0.25.1 rsa-4.9.1 send2trash-1.8.3 six-1.17.0 sniffio-1.3.1 soupsieve-2.7 sphinx-autodoc-typehints-3.0.1 sphinx-copybutton-0.5.2 sphinx-external-toc-1.0.1 sphinx-markdown-builder-0.6.8 sphinx_rtd_theme-3.0.2 sphinxcontrib-jquery-4.1 sphinxcontrib-spelling-8.0.0 stack_data-0.6.3 strenum-0.4.15 tabulate-0.9.0 terminado-0.18.1 tinycss2-1.4.0 tokenize-rt-6.2.0 tomlkit-0.13.3 tornado-6.5.1 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-4.14.0 tzdata-2025.2 uri-template-1.3.0 wcwidth-0.2.13 webcolors-24.11.1 webencodings-0.5.1 websocket-client-1.8.0 wrapt-1.17.2

[rtd-command-info] start-time: 2025-06-17T16:07:07.781688Z, end-time: 2025-06-17T16:07:07.824494Z, duration: 0, exit-code: 0
cat sdk_docs/conf.py
#
# Copyright 2021-2025 DataRobot, Inc. and its affiliates.
#
# All rights reserved.
#
# DataRobot, Inc.
#
# This is proprietary source code of DataRobot, Inc. and its
# affiliates.
#
# Released under the terms of DataRobot Tool and Utility Agreement.
#
# DataRobot Python API documentation build configuration file, created by
# sphinx-quickstart on Mon Mar 16 10:50:19 2015.
#
# This file is execfile()d with the current directory set to its containing dir.
#
# Note that not all possible configuration values are present in this
# autogenerated file.
#
# All configuration values have a default; values that are commented out
# serve to show the default.
import os
import shutil
import sys

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

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

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

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

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

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

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

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

myst_enable_extensions = [
    "amsmath",
    "attrs_inline",
    "colon_fence",
    "deflist",
    "dollarmath",
    "fieldlist",
    "html_admonition",
    "html_image",
    # "linkify",
    "replacements",
    "smartquotes",
    "strikethrough",
    "substitution",
    "tasklist",
]
# AUTODOC SETUP
# MyST options

autosummary_generate = False
autodoc_class_signature = "separated"

autodoc_default_options = {
    "exclude-members": "__init__, schema, __new__, __init_subclass__",
}

autodoc_member_order = "bysource"

# NAPOLEON SETUP
napoleon_numpy_docstring = True
napoleon_use_param = True
napoleon_use_keyword = True
napoleon_use_rtype = True
napoleon_use_ivar = True
napoleon_preprocess_types = True
napoleon_attr_annotations = False
napoleon_use_admonition_for_examples = True
napoleon_use_admonition_for_notes = True
napoleon_use_admonition_for_references = True

nbsphinx_execute = "never"

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

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

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

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

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

# The master toctree document.
master_doc = "index"

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

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


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

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

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

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

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

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

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

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

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

# -- Options for Sphinx External TOC -------------------------------------------
external_toc_path = "_toc.yml"  # optional, default: _toc.yml
external_toc_exclude_missing = False  # optional, default: False


# -- 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",
]

# by default, we render the experimental docs. in the case of stable
# releases, a la v3.6.4, we should exclude them at build time and from
# the toctree.
if "exclude_experimental_docs" in tags:
    # suppressing etoc.ref warnings like:
    # WARNING: toctree contains reference to nonexisting document 'experimental/index' [etoc.ref] [docutils]
    # WARNING: toctree contains reference to nonexisting document 'experimental/enums' [etoc.ref] [docutils]
    # I wish we could take a more precise approach to this.
    suppress_warnings.append("etoc.ref")
    # excluding the experimental folder ensures these files aren't built, period
    exclude_patterns.append("experimental")


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

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

[rtd-command-info] start-time: 2025-06-17T16:07:07.863709Z, end-time: 2025-06-17T16:07:55.846940Z, duration: 47, 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
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={'substitution', 'dollarmath', 'html_image', 'tasklist', 'colon_fence', 'html_admonition', 'fieldlist', 'attrs_inline', 'strikethrough', 'deflist', 'amsmath', 'smartquotes', 'replacements'}, 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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Writing evaluated template result to /home/docs/checkouts/readthedocs.org/user_builds/datarobot-public-api-client/checkouts/early-access/_readthedocs/html/_static/basic.css
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: 2025-06-17T16:07:55.901365Z, end-time: 2025-06-17T16:08:20.826307Z, duration: 24, exit-code: 0
python -m sphinx -T -b latex -d _build/doctrees -D language=en . $READTHEDOCS_OUTPUT/pdf
Running Sphinx v8.1.3
loading translations [en]... done
Initializing Spelling Checker 8.0.0
making output directory... done
loading pickled environment... The configuration has changed (5 options: 'html_permalinks_icon', 'html_static_path', 'jquery_use_sri', 'nbsphinx_requirejs_options', 'nbsphinx_requirejs_path')
done
myst v4.0.0: MdParserConfig(commonmark_only=False, gfm_only=False, enable_extensions={'amsmath', 'smartquotes', 'replacements', 'html_image', 'strikethrough', 'tasklist', 'attrs_inline', 'dollarmath', 'fieldlist', 'colon_fence', 'html_admonition', 'substitution', 'deflist'}, 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
writing output... 
building [latex]: all documents
updating environment: 0 added, 2 changed, 0 removed
reading sources... [ 50%] CHANGES
reading sources... [100%] experimental/index
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.

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/latexmkrc
Writing evaluated template result to /home/docs/checkouts/readthedocs.org/user_builds/datarobot-public-api-client/checkouts/early-access/_readthedocs/pdf/Makefile
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/latexmkjarc
done
copying assets: done
processing DataRobotPython_3.8.0b0_Docs.tex... 
index
 reference/index
 reference/data/index
  reference/data/dataset
  reference/data/database_connectivity
  reference/data/feature_discovery
 reference/modeling/index
  reference/modeling/project
  reference/modeling/model
  reference/modeling/blueprint
  reference/modeling/insights/index
   reference/modeling/insights/automated_documentation
   reference/modeling/insights/external_testset
   reference/modeling/insights/prediction_explanations
   reference/modeling/insights/rating_table
   reference/modeling/insights/shap_insights
  reference/modeling/spec/index
   reference/modeling/spec/binary_data
   reference/modeling/spec/custom_task
   reference/modeling/spec/datetime_partition
   reference/modeling/spec/monotonic_constraints
   reference/modeling/spec/segmented_modeling
   reference/modeling/spec/time_series
   reference/modeling/spec/unsupervised_anomaly
   reference/modeling/spec/unsupervised_clustering
   reference/modeling/spec/visualai
  reference/modeling/job
  reference/modeling/prime
  reference/modeling/model_recommendation
 reference/predictions/index
  reference/predictions/predict_job
  reference/predictions/batch_predictions
 reference/mlops/index
  reference/mlops/deployment
  reference/mlops/data_exports
  reference/mlops/custom_metrics
  reference/mlops/hosted_custom_metrics
  reference/mlops/custom_model
  reference/mlops/jobs
  reference/mlops/model_registry
  reference/mlops/key_values
 reference/admin/index
  reference/admin/credentials
  reference/admin/sharing
 reference/use_cases/index
  reference/use_cases/use_cases
  client-setup
  api-object
  application-templates
  applications
  batch-monitoring
  batch-predictions
  binary_data_helpers
  blueprints
  challenger-models
  champion_model_package
  compliance-documentation
  credentials
  custom-metrics
  custom-models
  data-connectivity
  data-exploration
  data-registry
  data-wrangling
  datarobot-models
  deployment-management
  errors
  features
  gen-llm-generation
  gen-prompting
  gen-vector-databases
  gen-testing
  gen-moderation
  insights
  jobs
  key_values
  mlops_event
  projects
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Chapter 1.

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Chapter 2.

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Chapter 3.

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Chapter 4.

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Chapter 13.

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Chapter 15.

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Chapter 16.

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Chapter 17.
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Chapter 18.

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Chapter 19.

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Chapter 21.

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) [5] [6] [1] [2]
Chapter 1.

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[][][]\T1/qtm/m/it/10 Ad-min-is-tra-
[3] [4]
Chapter 2.
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(/usr/share/texlive/texmf-dist/tex/latex/txfonts/ts1txtt.fd) [5]
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[][][]\T1/txtt/m/sl/10 Dataset.create_from_url[][] \T1/qtm/m/n/10 takes CSV dat
a 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
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[12]
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[15] [16] [17] [18] [19] [20] [21] [22]
Chapter 3.
[23] [24] [25] [26] [27] [28]
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[29] [30] [31] [32] [33] [34]
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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
[35] [36]
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[]\T1/txtt/m/n/10 PredictionExplanations.get_all_as_dataframe() \T1/qtm/m/n/10 
and \T1/txtt/m/n/10 PredictionExplanations.
[48] [49] [50] [51] [52] [53] [54]

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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.
[64]
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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-ra
cy 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
[65] [66] [67] [68]

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l.4612 ...gment\PYGZus{}id}\PYG{l+s+s2}{\PYGZdq{}}
                                                  

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[69] [70] [71] [72] [73]
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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
[74]
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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-
[75] [76] [77] [78]
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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.
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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
[85] [86] [87] [88] [89] [90] [91]

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[92] [93] [94 <./sample1.png> <./sample2.png>] [95] [96 <./activation_map1.png>
 <./activation_map2.png>] [97] [98 <./embeddings.png>] [99] [100] [101]
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Chapter 4.
[107]
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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 of the day

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\T1/qtm/m/n/10 that the job

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[]|\T1/qtm/m/n/10 Strings, ei-

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\T1/qtm/m/n/10 such as
[123]
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[124]
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\T1/qtm/m/n/10 Job def-i-ni-tions are only be ex-e-cuted by the sched-uler if \
T1/txtt/m/n/10 enabled \T1/qtm/m/n/10 is set to \T1/txtt/m/n/10 True\T1/qtm/m/n
/10 . If you have a

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\T1/qtm/m/n/10 job def-i-ni-tion that was pre-vi-ously run-ning as a sched-uled
 job, but should now be stopped, sim-ply
[125] [126]
Chapter 5.

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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
[127] [128] [129] [130] [131] [132] [133] [134] [135] [136] [137] [138]
[139] [140] [141]
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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
[153] [154] [155] [156] [157] [158] [159] [160] [161] [162] [163]
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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
[164] [165]
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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
[166] [167] [168] [169] [170] [171] [172] [173] [174] [175] [176] [177]
[178] [179] [180] [181]
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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.
[182] [183] [184] [185]
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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
[186] [187] [188] [189] [190]
Chapter 6.
[191] [192] [193] [194] [195] [196] [197] [198] [199] [200]
Chapter 7.
[201] [202] [203] [204]
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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
[205] [206]
Chapter 8.
[207] [208] [209] [210]
Chapter 9.
[211] [212]
Chapter 10.
[213] [214]
Chapter 11.
[215] [216]
Chapter 12.
[217] [218] [219] [220] [221] [222] [223]
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[224] [225] [226]
Chapter 13.
[227] [228] [229] [230] [231] [232] [233]
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[]\T1/txtt/bx/n/10 source_url \T1/qtm/m/n/10 (\T1/txtt/m/n/10 str\T1/qtm/m/n/10
 ) ^^U The URL for the pre-dic-tion dataset (e.g.:

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[]\T1/txtt/bx/n/10 destination_url \T1/qtm/m/n/10 (\T1/txtt/m/n/10 str\T1/qtm/m
/n/10 ) ^^U The URL for the scored dataset (e.g.:
[234]
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[]\T1/txtt/bx/n/10 source_url \T1/qtm/m/n/10 (\T1/txtt/m/n/10 str\T1/qtm/m/n/10
 ) ^^U The URL for the pre-dic-tion dataset (e.g.:

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[]\T1/txtt/bx/n/10 destination_url \T1/qtm/m/n/10 (\T1/txtt/m/n/10 str\T1/qtm/m
/n/10 ) ^^U The URL for the scored dataset (e.g.:
[235]
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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.
[236] [237] [238] [239] [240] [241] [242] [243] [244] [245]
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\T1/txtt/bx/n/10 ValueError: \T1/qtm/m/n/10 ^^U If the generic Job was not a pr
e-dict job, e.g. job_type !=
[246] [247] [248] [249] [250]
Chapter 14.

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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 , 
[251]
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\T1/qtm/m/it/10 tinue_on_error=False\T1/qtm/m/n/10 , 
[252] [253] [254]
Chapter 15.
[255] [256] [257]
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[]\T1/txtt/bx/n/10 hex_column_name_lookup \T1/qtm/m/n/10 (\T1/txtt/m/n/10 list[
UserBlueprintsHexColumnNameLookupEntry]\T1/qtm/m/n/10 ,

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[]\T1/txtt/bx/n/10 supported_target_types \T1/qtm/m/n/10 (\T1/txtt/m/n/10 list[
enum(\TS1/txtt/m/n/10 ``\T1/qtm/m/n/10 'binary'\T1/txtt/m/n/10 , \TS1/txtt/m/n/
10 ``'\T1/txtt/m/n/10 multiclass\TS1/txtt/m/n/10 '\T1/qtm/m/n/10 ,
[258] [259] [260] [261]
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[]\T1/txtt/bx/n/10 task_parameters \T1/qtm/m/n/10 (\T1/txtt/m/n/10 list(UserBlu
eprintTaskParameterValidationRequestParamItem)\T1/qtm/m/n/10 )
[262]
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[]\T1/txtt/bx/n/10 share_recipient_type \T1/qtm/m/n/10 (\T1/txtt/m/n/10 enum(\T
S1/txtt/m/n/10 ``\T1/qtm/m/n/10 'user'\T1/txtt/m/n/10 , \TS1/txtt/m/n/10 ``'\T1
/txtt/m/n/10 group\TS1/txtt/m/n/10 '\T1/qtm/m/n/10 , \TS1/txtt/m/n/10 '\T1/txtt
/m/n/10 organization\TS1/txtt/m/n/10 '\T1/txtt/m/n/10 )\T1/qtm/m/n/10 ,
[263]
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[]\T1/txtt/bx/n/10 roles \T1/qtm/m/n/10 (\T1/txtt/m/n/10 list(or(GrantAccessCon
trolWithUsernameValidator\T1/qtm/m/n/10 ,

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[]\T1/txtt/bx/n/10 limit \T1/qtm/m/n/10 (\T1/txtt/m/n/10 int\T1/qtm/m/n/10 , \T
1/txtt/m/n/10 Optional. (default\T1/qtm/m/n/10 : \T1/txtt/m/n/10 0)\T1/qtm/m/n/
10 , \T1/txtt/m/n/10 at most this many results are
[264]
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[]\T1/txtt/bx/n/10 added_to_menu \T1/qtm/m/n/10 (\T1/txtt/m/n/10 list(UserBluep
rintAddedToMenuItem)\T1/qtm/m/n/10 ) ^^U The list of
[265]
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[]\T1/txtt/bx/n/10 task_parameters \T1/qtm/m/n/10 (\T1/txtt/m/n/10 list(UserBlu
eprintTaskParameterValidationRequestParamItem)\T1/qtm/m/n/10 )
[266]
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[]\T1/txtt/bx/n/10 description \T1/qtm/m/n/10 (\T1/txtt/m/n/10 Optional[str] (D
efault=None)\T1/qtm/m/n/10 ) ^^U The de-scrip-tion of the user

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[]\T1/txtt/bx/n/10 limit \T1/qtm/m/n/10 (\T1/txtt/m/n/10 int\T1/qtm/m/n/10 , \T
1/txtt/m/n/10 Optional. (default\T1/qtm/m/n/10 : \T1/txtt/m/n/10 0)\T1/qtm/m/n/
10 , \T1/txtt/m/n/10 at most this many results are
[267] [268] [269]
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[]\T1/txtt/bx/n/10 calibrate_predictions \T1/qtm/m/n/10 (\T1/txtt/m/n/10 Option
al[bool]\T1/qtm/m/n/10 ) ^^U whether anomaly pre-dic-tions

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\T1/qtm/m/n/10 should be cal-i-brated to be be-tween 0 and 1 by DR. if None, us
es de-fault
[270] [271] [272] [273] [274] [275] [276] [277] [278] [279] [280] [281]
[282] [283] [284]
Chapter 16.
[285] [286] [287] [288]
Chapter 17.
[289] [290]
Chapter 18.
[291]
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[292]
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[293] [294]
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[]\T1/txtt/m/n/10 List \T1/qtm/m/n/10 of \T1/txtt/m/n/10 AutomatedDocument obje
cts\T1/qtm/m/n/10 , \T1/txtt/m/n/10 where each object contains

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[295] [296] [297] [298] [299] [300]
Chapter 19.
[301] [302] [303] [304] [305] [306] [307]
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[]\T1/txtt/bx/n/10 kwargs \T1/qtm/m/n/10 (\T1/txtt/m/n/10 Keyword arguments spe
cific \T1/qtm/m/n/10 to \T1/txtt/m/n/10 the given credential_type that
[308]
Chapter 20.
[309] [310] [311]
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[]\T1/txtt/bx/n/10 time_step \T1/qtm/m/n/10 (\T1/txtt/m/n/10 Optional[CustomMet
ricBucketTimeStep]\T1/qtm/m/n/10 ) ^^U Cus-tom met-ric time
[312] [313] [314] [315]
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[316] [317] [318] [319] [320] [321] [322] [323]
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[]\T1/txtt/bx/n/10 metric_type \T1/qtm/m/n/10 (\T1/txtt/m/n/10 Optional[HostedC
ustomMetricsTemplateMetricTypeQueryParams]\T1/qtm/m/n/10 )
[324]
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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:
[325] [326] [327] [328] [329] [330]
Chapter 21.

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\T1/qtm/m/it/10 datarobot.TARGET_TYPE.MULTICLASS\T1/qtm/m/n/10 , \T1/qtm/m/it/1
0 datarobot.TARGET_TYPE.UNSTRUCTURED\T1/qtm/m/n/10 ,
[331]
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[]\T1/txtt/bx/n/10 network_egress_policy \T1/qtm/m/n/10 (\T1/txtt/m/n/10 dataro
bot.NETWORK_EGRESS_POLICY\T1/qtm/m/n/10 , \T1/qtm/m/it/10 op-tional\T1/qtm/m/n/
10 )

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

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

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[]\T1/txtt/bx/n/10 is_training_data_for_versions_permanently_enabled \T1/qtm/m/
n/10 (\T1/txtt/m/n/10 Optional[bool]\T1/qtm/m/n/10 ) ^^U
[332]
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[]\T1/txtt/bx/n/10 target_type \T1/qtm/m/n/10 (\T1/txtt/m/n/10 datarobot.TARGET
_TYPE\T1/qtm/m/n/10 ) ^^U Tar-get type of the cus-

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

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

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\T1/qtm/m/it/10 datarobot.TARGET_TYPE.UNSTRUCTURED\T1/qtm/m/n/10 , \T1/qtm/m/it
/10 datarobot.TARGET_TYPE.TEXT_GENERATION\T1/qtm/m/n/10 ] 
[333]
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[]\T1/txtt/bx/n/10 network_egress_policy \T1/qtm/m/n/10 (\T1/txtt/m/n/10 dataro
bot.NETWORK_EGRESS_POLICY\T1/qtm/m/n/10 , \T1/qtm/m/it/10 op-tional\T1/qtm/m/n/
10 )

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

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

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

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\T1/qtm/m/n/10 ing at-tempt is us-ing a Cus-tom-Mod-e-lIm-age as its model or C
US-

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

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

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\T1/qtm/m/n/10 pub-lic net-work. Val-ues: [\T1/qtm/m/it/10 datarobot.NETWORK_EG
RESS_POLICY.NONE\T1/qtm/m/n/10 ,
[337]
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[]\T1/txtt/bx/n/10 network_egress_policy \T1/qtm/m/n/10 (\T1/txtt/m/n/10 dataro
bot.NETWORK_EGRESS_POLICY\T1/qtm/m/n/10 , \T1/qtm/m/it/10 op-tional\T1/qtm/m/n/
10 )

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r can ac-cess the

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

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r can ac-cess the

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\T1/qtm/m/n/10 pub-lic net-work. Val-ues: [\T1/qtm/m/it/10 datarobot.NETWORK_EG
RESS_POLICY.NONE\T1/qtm/m/n/10 ,
[340]
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[]\T1/txtt/bx/n/10 base_environment_version_id \T1/qtm/m/n/10 (\T1/txtt/m/n/10 
str\T1/qtm/m/n/10 ) ^^U The base en-vi-ron-ment ver-sion ID

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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txt^^Q,

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e1.txt^^Q,

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

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r can ac-cess the

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\T1/qtm/m/n/10 pub-lic net-work. Val-ues: [\T1/qtm/m/it/10 datarobot.NETWORK_EG
RESS_POLICY.NONE\T1/qtm/m/n/10 ,
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[]\T1/qtm/m/n/10 Trans-fer ac-cess to the ex-e-cu-tion en-vi-ron-ment from [][]
old_user@datarobot.com[][] to
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[]\T1/txtt/bx/n/10 build_status \T1/qtm/m/n/10 (\T1/txtt/m/n/10 Optional[str]\T
1/qtm/m/n/10 ) ^^U build sta-tus of

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

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\T1/qtm/m/n/10 datarobot.enums.EXECUTION_ENVIRONMENT_VERSION_BUILD_STATUS
[355] [356] [357] [358]
Chapter 22.
[359]
Underfull \hbox (badness 10000) in paragraph at lines 30573--30576
[]\T1/txtt/bx/n/10 database_driver \T1/qtm/m/n/10 (\T1/txtt/m/n/10 str\T1/qtm/m
/n/10 ) ^^U Op-tional. Spec-ify when typ is \T1/qtm/m/it/10 DataDriver-
[360] [361] [362] [363]
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[]\T1/txtt/bx/n/10 jdbc_url \T1/qtm/m/n/10 (\T1/txtt/m/n/10 str\T1/qtm/m/n/10 )
 ^^U Op-tional. The full JDBC URL (for ex-am-ple:
[364]
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[]\T1/txtt/bx/n/10 jdbc_url \T1/qtm/m/n/10 (\T1/txtt/m/n/10 str\T1/qtm/m/n/10 )
 ^^U Op-tional. The full JDBC URL (for ex-am-ple:
[365] [366] [367] [368] [369] [370] [371] [372] [373] [374]
Chapter 23.
[375] [376]
Chapter 24.
[377] [378] [379] [380] [381] [382]
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[] \T1/txtt/m/n/10 code[]block:\T1/qtm/m/n/10 : \T1/txtt/m/n/10 python \T1/qtm/
m/n/10 ^^U from datarobot.models.deployment

Underfull \hbox (badness 10000) in paragraph at lines 32744--32747
\T1/qtm/m/n/10 im-port Train-ing-Data-Ex-port dataset_id = Train-ing-Data-Ex-
[383] [384]
Chapter 25.
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[397] [398] [399]
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\T1/qtm/m/n/10 GIVEN _ NAME / SCHEMA . TABLE _ NAME$[][]' - `[][]$jdbc : DATA _
 SOURCE _ GIVEN _
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[404] [405] [406] [407] [408] [409] [410]
Chapter 26.
[411] [412]
Chapter 27.
[413] [414]
Chapter 28.
[415] [416] [417] [418]
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[]\T1/txtt/bx/n/10 source \T1/qtm/m/n/10 (\T1/txtt/m/n/10 str\T1/qtm/m/n/10 ) ^
^U Con-fu-sion chart source. Check
[423]
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[]\T1/txtt/bx/n/10 fairness_metrics_set \T1/qtm/m/n/10 (\T1/txtt/m/n/10 Optiona
l[str]\T1/qtm/m/n/10 ) ^^U Can be one of
[424] [425]
Underfull \hbox (badness 10000) in paragraph at lines 37572--37575
\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
[426]
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[]\T1/txtt/bx/n/10 source \T1/qtm/m/n/10 (\T1/txtt/m/n/10 str\T1/qtm/m/n/10 ) ^
^U ROC curve data source. Check
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[]\T1/txtt/bx/n/10 source \T1/qtm/m/n/10 (\T1/txtt/m/n/10 str\T1/qtm/m/n/10 ) ^
^U Resid-u-als chart data source. Check
[431]
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[]\T1/txtt/bx/n/10 source \T1/qtm/m/n/10 (\T1/txtt/m/n/10 str\T1/qtm/m/n/10 ) ^
^U ROC curve data source. Check
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\T1/txtt/bx/n/10 fairness_metrics_set \T1/qtm/m/n/10 (\T1/txtt/m/n/10 Optional[
str]\T1/qtm/m/n/10 ) ^^U Can be one of
[435] [436]
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[]\T1/qtm/m/n/10 All du-ra-tions should be spec-i-fied with a du-ra-tion string
 such as those re-turned by the

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[][]\T1/txtt/m/sl/10 partitioning_methods.construct_duration_string[][] \T1/qtm
/m/n/10 helper method. Please see [][]\T1/qtm/m/it/10 date-time
[437] [438] [439]
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[]\T1/txtt/bx/n/10 explanation_algorithm \T1/qtm/m/n/10 (\T1/txtt/m/n/10 (New i
n version v2.21) optional; If set \T1/qtm/m/n/10 to

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[]\T1/txtt/bx/n/10 max_explanations \T1/qtm/m/n/10 (\T1/txtt/m/n/10 (New in ver
sion v2.21) int optional; specifies the

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[]\T1/txtt/bx/n/10 source \T1/qtm/m/n/10 (\T1/txtt/m/n/10 str\T1/qtm/m/n/10 ) ^
^U Resid-u-als chart data source. Check

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[]\T1/txtt/bx/n/10 source \T1/qtm/m/n/10 (\T1/txtt/m/n/10 str\T1/qtm/m/n/10 ) ^
^U Roc Curve data source. Check
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[]\T1/txtt/bx/n/10 scoring_type \T1/qtm/m/n/10 (\T1/txtt/m/n/10 Optional[str]\T
1/qtm/m/n/10 ) ^^U Ei-ther \T1/txtt/m/n/10 validation \T1/qtm/m/n/10 or \T1/txt
t/m/n/10 crossValidation
[443]
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[]\T1/qtm/m/n/10 All du-ra-tions should be spec-i-fied with a du-ra-tion string
 such as those re-turned by the

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[][]\T1/txtt/m/sl/10 partitioning_methods.construct_duration_string[][] \T1/qtm
/m/n/10 helper method. Please see [][]\T1/qtm/m/it/10 date-time

Underfull \hbox (badness 7133) in paragraph at lines 39780--39783
\T1/qtm/m/n/10 be used to train the model. If spec-i-fied, nei-ther \T1/txtt/m/
n/10 training_duration \T1/qtm/m/n/10 nor
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[]\T1/txtt/bx/n/10 source \T1/qtm/m/n/10 (\T1/txtt/m/n/10 str\T1/qtm/m/n/10 ) ^
^U Con-fu-sion chart source. Check
[453]
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[]\T1/txtt/bx/n/10 fairness_metrics_set \T1/qtm/m/n/10 (\T1/txtt/m/n/10 Optiona
l[str]\T1/qtm/m/n/10 ) ^^U Can be one of
[454] [455]
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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
[456]
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[]\T1/txtt/bx/n/10 source \T1/qtm/m/n/10 (\T1/txtt/m/n/10 str\T1/qtm/m/n/10 ) ^
^U ROC curve data source. Check
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[]\T1/txtt/bx/n/10 source \T1/qtm/m/n/10 (\T1/txtt/m/n/10 str\T1/qtm/m/n/10 ) ^
^U Resid-u-als chart data source. Check

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[]\T1/txtt/bx/n/10 source \T1/qtm/m/n/10 (\T1/txtt/m/n/10 str\T1/qtm/m/n/10 ) ^
^U ROC curve data source. Check
[462] [463] [464] [465]
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\T1/txtt/bx/n/10 fairness_metrics_set \T1/qtm/m/n/10 (\T1/txtt/m/n/10 Optional[
str]\T1/qtm/m/n/10 ) ^^U Can be one of
[466] [467]
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[]\T1/txtt/bx/n/10 explanation_algorithm \T1/qtm/m/n/10 (\T1/txtt/m/n/10 (New i
n version v2.21) optional; If set \T1/qtm/m/n/10 to

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

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[]\T1/txtt/bx/n/10 source \T1/qtm/m/n/10 (\T1/txtt/m/n/10 str\T1/qtm/m/n/10 ) ^
^U Roc Curve data source. Check
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[]\T1/txtt/bx/n/10 source \T1/qtm/m/n/10 (\T1/txtt/m/n/10 str\T1/qtm/m/n/10 ) ^
^U Con-fu-sion chart source. Check
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[]\T1/txtt/bx/n/10 fairness_metrics_set \T1/qtm/m/n/10 (\T1/txtt/m/n/10 Optiona
l[str]\T1/qtm/m/n/10 ) ^^U Can be one of
[481] [482]
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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
[483]
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[]\T1/txtt/bx/n/10 source \T1/qtm/m/n/10 (\T1/txtt/m/n/10 str\T1/qtm/m/n/10 ) ^
^U ROC curve data source. Check
[484] [485] [486] [487] [488]
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[]\T1/txtt/bx/n/10 source \T1/qtm/m/n/10 (\T1/txtt/m/n/10 str\T1/qtm/m/n/10 ) ^
^U Resid-u-als chart data source. Check

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[]\T1/txtt/bx/n/10 source \T1/qtm/m/n/10 (\T1/txtt/m/n/10 str\T1/qtm/m/n/10 ) ^
^U ROC curve data source. Check
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\T1/txtt/bx/n/10 fairness_metrics_set \T1/qtm/m/n/10 (\T1/txtt/m/n/10 Optional[
str]\T1/qtm/m/n/10 ) ^^U Can be one of
[493]
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[]\T1/qtm/m/n/10 All du-ra-tions should be spec-i-fied with a du-ra-tion string
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[][]\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
[494] [495] [496]
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[]\T1/txtt/bx/n/10 explanation_algorithm \T1/qtm/m/n/10 (\T1/txtt/m/n/10 (New i
n version v2.21) optional; If set \T1/qtm/m/n/10 to

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[]\T1/txtt/bx/n/10 max_explanations \T1/qtm/m/n/10 (\T1/txtt/m/n/10 (New in ver
sion v2.21) int optional; specifies the

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[]\T1/txtt/bx/n/10 source \T1/qtm/m/n/10 (\T1/txtt/m/n/10 str\T1/qtm/m/n/10 ) ^
^U Resid-u-als chart data source. Check

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[]\T1/txtt/bx/n/10 source \T1/qtm/m/n/10 (\T1/txtt/m/n/10 str\T1/qtm/m/n/10 ) ^
^U Roc Curve data source. Check
[497] [498] [499]
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[]\T1/txtt/bx/n/10 scoring_type \T1/qtm/m/n/10 (\T1/txtt/m/n/10 Optional[str]\T
1/qtm/m/n/10 ) ^^U Ei-ther \T1/txtt/m/n/10 validation \T1/qtm/m/n/10 or \T1/txt
t/m/n/10 crossValidation
[500]
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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 46821--46826
[][]\T1/txtt/m/sl/10 partitioning_methods.construct_duration_string[][] \T1/qtm
/m/n/10 helper method. Please see [][]\T1/qtm/m/it/10 date-time

Underfull \hbox (badness 7133) in paragraph at lines 46834--46837
\T1/qtm/m/n/10 be used to train the model. If spec-i-fied, nei-ther \T1/txtt/m/
n/10 training_duration \T1/qtm/m/n/10 nor
[501] [502]
Underfull \hbox (badness 5217) in paragraph at lines 47064--47067
[]\T1/txtt/bx/n/10 sampling_method \T1/qtm/m/n/10 (\T1/txtt/m/n/10 str \T1/qtm/
m/n/10 or \T1/txtt/m/n/10 None\T1/qtm/m/n/10 ) ^^U (New in v2.23) in-di-cates t
he way train-ing
[503] [504] [505] [506]
Underfull \hbox (badness 10000) in paragraph at lines 47597--47602
[]\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 47597--47602
[][]\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
[507] [508] [509] [510] [511] [512] [513] [514] [515] [516] [517] [518]
[519]
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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
[520] [521] [522] [523] [524] [525] [526] [527] [528]
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[]\T1/txtt/bx/n/10 source \T1/qtm/m/n/10 (\T1/txtt/m/n/10 str\T1/qtm/m/n/10 ) ^
^U Con-fu-sion chart source. Check
[529]
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[]\T1/txtt/bx/n/10 fairness_metrics_set \T1/qtm/m/n/10 (\T1/txtt/m/n/10 Optiona
l[str]\T1/qtm/m/n/10 ) ^^U Can be one of
[530]
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[]\T1/txtt/bx/n/10 source \T1/qtm/m/n/10 (\T1/txtt/m/n/10 str\T1/qtm/m/n/10 ) ^
^U ROC curve data source. Check
[531] [532]
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[]\T1/txtt/bx/n/10 source \T1/qtm/m/n/10 (\T1/txtt/m/n/10 str\T1/qtm/m/n/10 ) ^
^U Resid-u-als chart data source. Check
[533] [534] [535] [536]
Underfull \hbox (badness 10000) in paragraph at lines 51100--51103
\T1/txtt/bx/n/10 fairness_metrics_set \T1/qtm/m/n/10 (\T1/txtt/m/n/10 Optional[
str]\T1/qtm/m/n/10 ) ^^U Can be one of

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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 51147--51152
[][]\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
[537] [538]
Underfull \hbox (badness 10000) in paragraph at lines 51317--51320
[]\T1/txtt/bx/n/10 explanation_algorithm \T1/qtm/m/n/10 (\T1/txtt/m/n/10 (New i
n version v2.21) optional; If set \T1/qtm/m/n/10 to

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[]\T1/txtt/bx/n/10 max_explanations \T1/qtm/m/n/10 (\T1/txtt/m/n/10 (New in ver
sion v2.21) int optional; specifies the
[539]
Underfull \hbox (badness 10000) in paragraph at lines 51366--51368
[]\T1/txtt/bx/n/10 source \T1/qtm/m/n/10 (\T1/txtt/m/n/10 str\T1/qtm/m/n/10 ) ^
^U Resid-u-als chart data source. Check
[540]
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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 51529--51534
[][]\T1/txtt/m/sl/10 partitioning_methods.construct_duration_string[][] \T1/qtm
/m/n/10 helper method. Please see [][]\T1/qtm/m/it/10 date-time

Underfull \hbox (badness 7133) in paragraph at lines 51542--51545
\T1/qtm/m/n/10 be used to train the model. If spec-i-fied, nei-ther \T1/txtt/m/
n/10 training_duration \T1/qtm/m/n/10 nor
[541] [542] [543] [544] [545] [546] [547]
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[548]
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[549] [550] [551]
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[]\T1/txtt/bx/n/10 source \T1/qtm/m/n/10 (\T1/txtt/m/n/10 str\T1/qtm/m/n/10 ) ^
^U Con-fu-sion chart source. Check
[552]
Underfull \hbox (badness 10000) in paragraph at lines 52975--52978
[]\T1/txtt/bx/n/10 fairness_metrics_set \T1/qtm/m/n/10 (\T1/txtt/m/n/10 Optiona
l[str]\T1/qtm/m/n/10 ) ^^U Can be one of
[553] [554]
Underfull \hbox (badness 10000) in paragraph at lines 53223--53226
\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
[555]
Underfull \hbox (badness 10000) in paragraph at lines 53349--53351
[]\T1/txtt/bx/n/10 source \T1/qtm/m/n/10 (\T1/txtt/m/n/10 str\T1/qtm/m/n/10 ) ^
^U ROC curve data source. Check
[556] [557] [558] [559]
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[]\T1/txtt/bx/n/10 source \T1/qtm/m/n/10 (\T1/txtt/m/n/10 str\T1/qtm/m/n/10 ) ^
^U Resid-u-als chart data source. Check
[560]
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[]\T1/txtt/bx/n/10 source \T1/qtm/m/n/10 (\T1/txtt/m/n/10 str\T1/qtm/m/n/10 ) ^
^U ROC curve data source. Check
[561] [562] [563]
Underfull \hbox (badness 10000) in paragraph at lines 54495--54498
\T1/txtt/bx/n/10 fairness_metrics_set \T1/qtm/m/n/10 (\T1/txtt/m/n/10 Optional[
str]\T1/qtm/m/n/10 ) ^^U Can be one of
[564] [565]
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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 54686--54691
[][]\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
[566] [567] [568]
Underfull \hbox (badness 10000) in paragraph at lines 54942--54945
[]\T1/txtt/bx/n/10 explanation_algorithm \T1/qtm/m/n/10 (\T1/txtt/m/n/10 (New i
n version v2.21) optional; If set \T1/qtm/m/n/10 to

Underfull \hbox (badness 10000) in paragraph at lines 54947--54953
[]\T1/txtt/bx/n/10 max_explanations \T1/qtm/m/n/10 (\T1/txtt/m/n/10 (New in ver
sion v2.21) int optional; specifies the

Underfull \hbox (badness 10000) in paragraph at lines 54991--54993
[]\T1/txtt/bx/n/10 source \T1/qtm/m/n/10 (\T1/txtt/m/n/10 str\T1/qtm/m/n/10 ) ^
^U Resid-u-als chart data source. Check

Underfull \hbox (badness 10000) in paragraph at lines 55027--55029
[]\T1/txtt/bx/n/10 source \T1/qtm/m/n/10 (\T1/txtt/m/n/10 str\T1/qtm/m/n/10 ) ^
^U Roc Curve data source. Check
[569] [570] [571]
Underfull \hbox (badness 10000) in paragraph at lines 55349--55358
[]\T1/txtt/bx/n/10 scoring_type \T1/qtm/m/n/10 (\T1/txtt/m/n/10 Optional[str]\T
1/qtm/m/n/10 ) ^^U Ei-ther \T1/txtt/m/n/10 validation \T1/qtm/m/n/10 or \T1/txt
t/m/n/10 crossValidation
[572]
Underfull \hbox (badness 10000) in paragraph at lines 55418--55423
[]\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 55418--55423
[][]\T1/txtt/m/sl/10 partitioning_methods.construct_duration_string[][] \T1/qtm
/m/n/10 helper method. Please see [][]\T1/qtm/m/it/10 date-time

Underfull \hbox (badness 7133) in paragraph at lines 55431--55434
\T1/qtm/m/n/10 be used to train the model. If spec-i-fied, nei-ther \T1/txtt/m/
n/10 training_duration \T1/qtm/m/n/10 nor
[573] [574] [575] [576] [577] [578]
Underfull \hbox (badness 10000) in paragraph at lines 56345--56347
[]\T1/qtm/b/n/10 pa-ram-e-ters \T1/qtm/m/n/10 (\T1/txtt/m/n/10 dict\T1/qtm/m/n/
10 ) ^^U ^^PPa-ram-e-ters^^Q dic-tio-nary, same as spec-i-fied on
[579] [580] [581] [582] [583] [584] [585] [586] [587] [588] [589] [590]
[591] [592] [593] [594] [595] [596] [597]
Underfull \hbox (badness 10000) in paragraph at lines 58885--58887
[]\T1/txtt/bx/n/10 geospatial_monitoring \T1/qtm/m/n/10 (\T1/txtt/m/n/10 Option
al[ExternalGeospatialMonitoring]\T1/qtm/m/n/10 ) ^^U
[598] [599] [600] [601] [602]
Chapter 29.
[603] [604]
Chapter 30.

Underfull \hbox (badness 10000) in paragraph at lines 59353--59357
[]\T1/qtm/m/n/10 datarobot-key \T1/txtt/m/n/10 str \T1/qtm/m/n/10 Cor-re-sponds
 the to the \T1/txtt/m/n/10 PredictionServer \T1/qtm/m/n/10 ^^Psnake_cased^^Q
[605] [606] [607] [608] [609] [610] [611] [612] [613] [614] [615] [616]
[617] [618]
Underfull \hbox (badness 10000) in paragraph at lines 61017--61021
\T1/qtm/m/n/10 If pre-dic-tions data col-lec-tion is en-abled for this de-ploy-
ment.

Underfull \hbox (badness 10000) in paragraph at lines 61017--61021
\T1/qtm/m/n/10 To up-date ex-ist-ing `'pre-dic-tions_data_collection'' set-ting
s, see
(/usr/share/texlive/texmf-dist/tex/latex/fontawesome5/ufontawesomefree2.fd)
[619] [620] [621] [622] [623] [624] [625] [626] [627] [628] [629]
Underfull \hbox (badness 10000) in paragraph at lines 62340--62342
[]\T1/txtt/bx/n/10 share_recipient_type \T1/qtm/m/n/10 (\T1/txtt/m/n/10 enum(\T
S1/txtt/m/n/10 ``\T1/qtm/m/n/10 'user'\T1/txtt/m/n/10 , \TS1/txtt/m/n/10 ``'\T1
/txtt/m/n/10 group\TS1/txtt/m/n/10 '\T1/qtm/m/n/10 , \TS1/txtt/m/n/10 '\T1/txtt
/m/n/10 organization\TS1/txtt/m/n/10 '\T1/txtt/m/n/10 )\T1/qtm/m/n/10 ,

Underfull \hbox (badness 10000) in paragraph at lines 62375--62377
\T1/txtt/bx/n/10 roles \T1/qtm/m/n/10 (\T1/txtt/m/n/10 list(or(GrantAccessContr
olWithUsernameValidator\T1/qtm/m/n/10 ,

Underfull \hbox (badness 10000) in paragraph at lines 62375--62377
\T1/txtt/m/n/10 GrantAccessControlWithIdValidator\T1/qtm/m/n/10 , \T1/txtt/m/n/
10 SharingRole))\T1/qtm/m/n/10 ) ^^U Ar-ray of GrantAc-
[630] [631] [632] [633] [634] [635] [636] [637] [638] [639] [640] [641]
[642] [643] [644] [645] [646] [647]
Underfull \hbox (badness 10000) in paragraph at lines 64678--64682
[]\T1/txtt/bx/n/10 target_drift \T1/qtm/m/n/10 (\T1/txtt/m/n/10 Settings\T1/qtm
/m/n/10 ) ^^U If tar-get drift track-ing is en-abled for this

Underfull \hbox (badness 10000) in paragraph at lines 64678--64682
\T1/qtm/m/n/10 de-ploy-ment. To cre-ate or up-date ex-ist-ing \T1/txtt/m/n/10 t
arget_drift \T1/qtm/m/n/10 set-tings, see

Underfull \hbox (badness 10000) in paragraph at lines 64684--64688
[]\T1/txtt/bx/n/10 feature_drift \T1/qtm/m/n/10 (\T1/txtt/m/n/10 Settings\T1/qt
m/m/n/10 ) ^^U If fea-ture drift track-ing is en-abled for this

Underfull \hbox (badness 10000) in paragraph at lines 64684--64688
\T1/qtm/m/n/10 de-ploy-ment. To cre-ate or up-date ex-ist-ing \T1/txtt/m/n/10 f
eature_drift \T1/qtm/m/n/10 set-tings, see

Underfull \hbox (badness 10000) in paragraph at lines 64708--64712
[]\T1/txtt/bx/n/10 enabled \T1/qtm/m/n/10 (\T1/txtt/m/n/10 bool\T1/qtm/m/n/10 )
 ^^U If tar-get pre-dic-tion_warning is en-abled for this de-ploy-

Underfull \hbox (badness 10000) in paragraph at lines 64708--64712
\T1/qtm/m/n/10 ment. To cre-ate or up-date ex-ist-ing `'pre-dic-tion_warning'' 
set-tings, see
[648] [649] [650] [651]
Underfull \hbox (badness 10000) in paragraph at lines 65177--65179
[]\T1/txtt/bx/n/10 supported_model_formats \T1/qtm/m/n/10 (\T1/txtt/m/n/10 list
[PredictionEnvironmentModelFormats]\T1/qtm/m/n/10 , \T1/qtm/m/it/10 op-
[652] [653] [654]
Chapter 31.
[655] [656] [657] [658]
Chapter 32.
[659]
Underfull \hbox (badness 10000) in paragraph at lines 65998--66003
[]\T1/qtm/m/n/10 {`key':'DataRobot', `sum-mary':{`min':0, `max':29815.0, `std-D
ev':6498.029,
[660] [661] [662] [663]
Underfull \hbox (badness 10000) in paragraph at lines 66540--66545
[]\T1/qtm/m/n/10 {`key':'DataRobot', `sum-mary':{`min':0, `max':29815.0, `std-D
ev':6498.029,
[664] [665] [666]
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[]\T1/txtt/bx/n/10 values \T1/qtm/m/n/10 (\T1/txtt/m/n/10 list(dict)\T1/qtm/m/n
/10 ) ^^U List of His-togram val-ues with a schema de-scribed as
[667] [668]
Underfull \hbox (badness 10000) in paragraph at lines 67234--67237
[]\T1/qtm/m/n/10 E.g. The prob-a-bil-ity P(A=0,B=1) can be re-trieved via:

Underfull \hbox (badness 10000) in paragraph at lines 67234--67237
\T1/txtt/m/n/10 pairwise_joint_probabilities.statistic_dataframes[(0,1)].loc[\T
S1/txtt/m/n/10 '\T1/txtt/m/n/10 A\TS1/txtt/m/n/10 '\T1/txtt/m/n/10 ,
[669]
Underfull \hbox (badness 10000) in paragraph at lines 67382--67385
[]\T1/qtm/m/n/10 E.g. The prob-a-bil-ity P(A=0|B=1) can be re-trieved via:

Underfull \hbox (badness 10000) in paragraph at lines 67382--67385
\T1/txtt/m/n/10 pairwise_conditional_probabilities.statistic_dataframes[(0,1)].

[670] [671] [672] [673] [674] [675] [676] [677]
Underfull \hbox (badness 5771) in paragraph at lines 68432--68436
\T1/qtm/m/n/10 tion win-dows set-tings. If present, time-aware joins will be us
ed. Only al-

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[]\T1/txtt/bx/n/10 prediction_point_rounding \T1/qtm/m/n/10 (\T1/txtt/m/n/10 Op
tional[int]\T1/qtm/m/n/10 ) ^^U Clos-est value of pre-dic-

Underfull \hbox (badness 10000) in paragraph at lines 68464--68467
\T1/qtm/m/n/10 Time unit of the fea-ture deriva-tion win-dow. One of \T1/txtt/m
/n/10 datarobot.enums.
[678] [679] [680]
Underfull \hbox (badness 5771) in paragraph at lines 68713--68717
\T1/qtm/m/n/10 tion win-dows set-tings. If present, time-aware joins will be us
ed. Only al-

Underfull \hbox (badness 10000) in paragraph at lines 68719--68723
[]\T1/txtt/bx/n/10 prediction_point_rounding \T1/qtm/m/n/10 (\T1/txtt/m/n/10 in
t\T1/qtm/m/n/10 , or \T1/txtt/m/n/10 None\T1/qtm/m/n/10 ) ^^U Clos-est value of
 pre-dic-

Underfull \hbox (badness 10000) in paragraph at lines 68745--68748
\T1/qtm/m/n/10 Time unit of the fea-ture deriva-tion win-dow. One of \T1/txtt/m
/n/10 datarobot.enums.

Underfull \hbox (badness 10000) in paragraph at lines 68765--68767
[]\T1/txtt/bx/n/10 specifying \T1/qtm/m/n/10 (\T1/txtt/m/sl/10 To see the list 
of possible settings, create a
[681]
Underfull \hbox (badness 10000) in paragraph at lines 68794--68796
[]\T1/txtt/bx/n/10 dataset_definitions \T1/qtm/m/n/10 (\T1/txtt/m/n/10 list \T1
/qtm/m/n/10 of \T1/txtt/m/n/10 DatasetDefinition\T1/qtm/m/n/10 ) ^^U Each el-e-
ment is a

Underfull \hbox (badness 6641) in paragraph at lines 68802--68806
\T1/qtm/m/n/10 Each el-e-ment is a dic-tio-nary or a \T1/txtt/m/n/10 datarobot.
helpers.feature_discovery.
[682]
Underfull \hbox (badness 10000) in paragraph at lines 68909--68911
[]\T1/txtt/bx/n/10 dataset_definitions \T1/qtm/m/n/10 (\T1/txtt/m/n/10 List[Dat
asetDefinition]\T1/qtm/m/n/10 ) ^^U Each el-e-ment is a

Underfull \hbox (badness 6641) in paragraph at lines 68917--68921
\T1/qtm/m/n/10 Each el-e-ment is a dic-tio-nary or a \T1/txtt/m/n/10 datarobot.
helpers.feature_discovery.
[683] [684] [685] [686] [687] [688]
Overfull \vbox (2.05988pt too high) detected at line 69756
[689] [690] [691] [692] [693] [694]
Chapter 33.
[695] [696] [697] [698] [699] [700] [701] [702] [703] [704]
Chapter 34.
[705] [706] [707] [708] [709] [710] [711] [712] [713] [714] [715] [716]
[717] [718]
Chapter 35.
[719] [720] [721] [722] [723] [724]
Underfull \hbox (badness 10000) in paragraph at lines 73828--73830
[]\T1/txtt/bx/n/10 embedding_validation \T1/qtm/m/n/10 (\T1/txtt/m/n/10 Optiona
l[CustomModelEmbeddingValidation\T1/qtm/m/n/10 ,
[725] [726]
Chapter 36.
[727] [728] [729] [730] [731] [732] [733] [734] [735] [736] [737] [738]
[739] [740] [741] [742]
Underfull \hbox (badness 6592) in paragraph at lines 75998--76000
[]\T1/txtt/bx/n/10 prompt_moderation_configuration \T1/qtm/m/n/10 (\T1/txtt/m/n
/10 ModerationConfigurationWithoutID\T1/qtm/m/n/10 , \T1/qtm/m/it/10 op-
[743]
Underfull \hbox (badness 10000) in paragraph at lines 76116--76118
[]\T1/txtt/bx/n/10 response_moderation_configuration \T1/qtm/m/n/10 (\T1/txtt/m
/n/10 ModerationConfigurationWithoutID\T1/qtm/m/n/10 ,
[744] [745] [746]
Chapter 37.
[747]
Underfull \hbox (badness 10000) in paragraph at lines 76542--76544
[]\T1/txtt/bx/n/10 nemo_info \T1/qtm/m/n/10 (\T1/txtt/m/n/10 Optional\T1/qtm/m/
n/10 [[][]\T1/txtt/m/sl/10 GuardNemoInfo[][]\T1/qtm/m/n/10 ]) ^^U ad-di-tional 
con-fig-u-ra-tion for NeMo
[748]
Underfull \hbox (badness 10000) in paragraph at lines 76627--76629
[]\T1/txtt/bx/n/10 nemo_info \T1/qtm/m/n/10 (\T1/txtt/m/n/10 Optional\T1/qtm/m/
n/10 [[][]\T1/txtt/m/sl/10 GuardNemoInfo[][]\T1/qtm/m/n/10 ]) ^^U ad-di-tional 
con-fig-u-ra-tion for NeMo
[749] [750] [751] [752]
Underfull \hbox (badness 10000) in paragraph at lines 77399--77401
[]\T1/txtt/bx/n/10 nemo_info \T1/qtm/m/n/10 (\T1/txtt/m/n/10 Optional\T1/qtm/m/
n/10 [[][]\T1/txtt/m/sl/10 GuardNemoInfo[][]\T1/qtm/m/n/10 ]) ^^U ad-di-tional 
con-fig-u-ra-tion for NeMo
[753]
Underfull \hbox (badness 10000) in paragraph at lines 77477--77479
[]\T1/txtt/bx/n/10 nemo_info \T1/qtm/m/n/10 (\T1/txtt/m/n/10 Optional\T1/qtm/m/
n/10 [[][]\T1/txtt/m/sl/10 GuardNemoInfo[][]\T1/qtm/m/n/10 ]) ^^U ad-di-tional 
con-fig-u-ra-tion for NeMo
[754] [755] [756]
Chapter 38.
[757] [758] [759] [760] [761] [762] [763] [764] [765] [766] [767]
Underfull \hbox (badness 10000) in paragraph at lines 79287--79289
[]\T1/txtt/bx/n/10 status \T1/qtm/m/n/10 (\T1/txtt/m/n/10 str\T1/qtm/m/n/10 ) ^
^U The sta-tus of the in-sight. One of \T1/txtt/m/n/10 datarobot.enums.
[768] [769] [770] [771]
Underfull \hbox (badness 10000) in paragraph at lines 79967--79969
[]\T1/txtt/m/n/10 [ [ True Negative, False Positive ], [ False Negative, True P
ositive
[772] [773] [774] [775] [776] [777] [778]
Underfull \hbox (badness 10000) in paragraph at lines 80607--80610
[]\T1/txtt/bx/n/10 resolutions \T1/qtm/m/n/10 (\T1/txtt/m/n/10 list \T1/qtm/m/n
/10 of \T1/txtt/m/n/10 string\T1/qtm/m/n/10 ) ^^U A list of \T1/txtt/m/n/10 dat
arobot.enums.

Underfull \hbox (badness 6592) in paragraph at lines 80607--80610
\T1/txtt/m/n/10 DATETIME_TREND_PLOTS_RESOLUTION\T1/qtm/m/n/10 , which rep-re-se
nts avail-able time res-o-lu-tions

Underfull \hbox (badness 10000) in paragraph at lines 80641--80643
\T1/qtm/m/n/10 Sta-tus back-test/holdout train-ing. One of \T1/txtt/m/n/10 data
robot.enums.

Underfull \hbox (badness 10000) in paragraph at lines 80648--80650
\T1/qtm/m/n/10 Sta-tus back-test/holdout val-i-da-tion. One of \T1/txtt/m/n/10 
datarobot.enums.
[779] [780]
Underfull \hbox (badness 10000) in paragraph at lines 80938--80941
[]\T1/txtt/bx/n/10 resolutions \T1/qtm/m/n/10 (\T1/txtt/m/n/10 list \T1/qtm/m/n
/10 of \T1/txtt/m/n/10 string\T1/qtm/m/n/10 ) ^^U A list of \T1/txtt/m/n/10 dat
arobot.enums.

Underfull \hbox (badness 6592) in paragraph at lines 80938--80941
\T1/txtt/m/n/10 DATETIME_TREND_PLOTS_RESOLUTION\T1/qtm/m/n/10 , which rep-re-se
nts avail-able time res-o-lu-tions
[781] [782] [783]
Underfull \hbox (badness 10000) in paragraph at lines 81272--81275
[]\T1/txtt/bx/n/10 resolutions \T1/qtm/m/n/10 (\T1/txtt/m/n/10 list \T1/qtm/m/n
/10 of \T1/txtt/m/n/10 string\T1/qtm/m/n/10 ) ^^U A list of \T1/txtt/m/n/10 dat
arobot.enums.

Underfull \hbox (badness 6592) in paragraph at lines 81272--81275
\T1/txtt/m/n/10 DATETIME_TREND_PLOTS_RESOLUTION\T1/qtm/m/n/10 , which rep-re-se
nts avail-able time res-o-lu-tions

Underfull \hbox (badness 10000) in paragraph at lines 81306--81308
\T1/qtm/m/n/10 Sta-tus back-test/holdout train-ing. One of \T1/txtt/m/n/10 data
robot.enums.

Underfull \hbox (badness 10000) in paragraph at lines 81313--81315
\T1/qtm/m/n/10 Sta-tus back-test/holdout val-i-da-tion. One of \T1/txtt/m/n/10 
datarobot.enums.
[784] [785] [786] [787] [788] [789]
Underfull \hbox (badness 10000) in paragraph at lines 82072--82075
[]\T1/txtt/bx/n/10 metric \T1/qtm/m/n/10 (\T1/txtt/m/n/10 enums.FEATURE_ASSOCIA
TION_METRIC\T1/qtm/m/n/10 ) ^^U The name of a met-

Underfull \hbox (badness 5563) in paragraph at lines 82072--82075
\T1/qtm/m/n/10 ric to get pair-wise data for. Since `v2.19' this is op-tional a
nd de-faults to

Underfull \hbox (badness 10000) in paragraph at lines 82077--82080
[]\T1/txtt/bx/n/10 association_type \T1/qtm/m/n/10 (\T1/txtt/m/n/10 enums.FEATU
RE_ASSOCIATION_TYPE\T1/qtm/m/n/10 ) ^^U The type of

Underfull \hbox (badness 10000) in paragraph at lines 82077--82080
\T1/qtm/m/n/10 de-pen-dence for the data. Since `v2.19' this is op-tional and d
e-faults to
[790] [791] [792] [793] [794] [795] [796] [797] [798]
Underfull \hbox (badness 10000) in paragraph at lines 83194--83197
[]\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 83199--83202
[]\T1/qtm/m/n/10 Com-pute pre-dic-tions for the model and dataset via \T1/txtt/
m/n/10 datarobot.Model.

Underfull \hbox (badness 6708) in paragraph at lines 83272--83278
\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 83272--83278
\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 83288--83291
[]\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 83293--83296
[]\T1/qtm/m/n/10 Com-pute pre-dic-tions for the model and dataset via \T1/txtt/
m/n/10 datarobot.Model.
[799] [800] [801] [802] [803] [804] [805] [806] [807] [808] [809] [810]
Chapter 39.
[811] [812] [813] [814] [815] [816] [817] [818]
Chapter 40.
[819] [820] [821] [822]
Chapter 41.
[823] [824]
Chapter 42.
[825]
Underfull \hbox (badness 10000) in paragraph at lines 86598--86600
[]\T1/txtt/bx/n/10 catalog_version_id \T1/qtm/m/n/10 (\T1/txtt/m/n/10 str\T1/qt
m/m/n/10 ) ^^U (New in ver-sion v3.0) The ob-ject ID of the
[826] [827] [828] [829] [830] [831]
Underfull \hbox (badness 10000) in paragraph at lines 87232--87238
\T1/qtm/m/n/10 the [][]\T1/qtm/m/it/10 Par-ti-tion Classes[][] \T1/qtm/m/n/10 d
e-fined in \T1/txtt/m/n/10 datarobot.helpers.partitioning_methods\T1/qtm/m/n/10
 .

Underfull \hbox (badness 10000) in paragraph at lines 87232--87238
\T1/qtm/m/n/10 As an al-ter-na-tive, use [][]\T1/txtt/m/sl/10 Project.set_parti
tioning_method[][] \T1/qtm/m/n/10 or [][]\T1/txtt/m/sl/10 Project.

Underfull \hbox (badness 10000) in paragraph at lines 87316--87323
[]\T1/txtt/bx/n/10 bias_mitigation_technique \T1/qtm/m/n/10 (\T1/txtt/m/n/10 Op
tional[str]\T1/qtm/m/n/10 ) ^^U One of

Underfull \hbox (badness 10000) in paragraph at lines 87316--87323
\T1/qtm/m/n/10 datarobot.enums.BiasMitigationTechnique Op-tions: - `pre-pro-ces
s-in-gReweigh-ing' -

Underfull \hbox (badness 7944) in paragraph at lines 87316--87323
\T1/qtm/m/n/10 `post-Pro-cess-in-gRe-jec-tionOp-tion-Based-Clas-si-fi-ca-tion' 
The tech-nique by which we'll
[832]
Underfull \hbox (badness 10000) in paragraph at lines 87325--87329
[]\T1/txtt/bx/n/10 include_bias_mitigation_feature_as_predictor_variable
[833] [834]
Underfull \hbox (badness 10000) in paragraph at lines 87600--87606
\T1/qtm/m/n/10 the [][]\T1/qtm/m/it/10 Par-ti-tion Classes[][] \T1/qtm/m/n/10 d
e-fined in \T1/txtt/m/n/10 datarobot.helpers.partitioning_methods\T1/qtm/m/n/10
 .

Underfull \hbox (badness 10000) in paragraph at lines 87600--87606
\T1/qtm/m/n/10 As an al-ter-na-tive, use [][]\T1/txtt/m/sl/10 Project.set_parti
tioning_method[][] \T1/qtm/m/n/10 or [][]\T1/txtt/m/sl/10 Project.
[835] [836]
Underfull \hbox (badness 10000) in paragraph at lines 87802--87808
\T1/qtm/m/n/10 the [][]\T1/qtm/m/it/10 Par-ti-tion Classes[][] \T1/qtm/m/n/10 d
e-fined in \T1/txtt/m/n/10 datarobot.helpers.partitioning_methods\T1/qtm/m/n/10
 .

Underfull \hbox (badness 10000) in paragraph at lines 87802--87808
\T1/qtm/m/n/10 As an al-ter-na-tive, use [][]\T1/txtt/m/sl/10 Project.set_parti
tioning_method[][] \T1/qtm/m/n/10 or [][]\T1/txtt/m/sl/10 Project.

Underfull \hbox (badness 10000) in paragraph at lines 87848--87850
[]\T1/txtt/bx/n/10 class_mapping_aggregation_settings \T1/qtm/m/n/10 (\T1/txtt/
m/n/10 ClassMappingAggregationSettings\T1/qtm/m/n/10 ,
[837] [838] [839]
Underfull \hbox (badness 10000) in paragraph at lines 88092--88100
\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 88092--88100
\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 88092--88100
\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 88092--88100
\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


Underfull \vbox (badness 5008) detected at line 88151

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[840] [841] [842]
Underfull \hbox (badness 10000) in paragraph at lines 88450--88452
[]\T1/txtt/bx/n/10 credentials \T1/qtm/m/n/10 (\T1/txtt/m/n/10 Optional[List] a
 list \T1/qtm/m/n/10 of \T1/txtt/m/n/10 credentials for the datasets

Underfull \hbox (badness 7649) in paragraph at lines 88489--88492
[]\T1/txtt/bx/n/10 ValueError \T1/qtm/m/n/10 ^^U Raised if \T1/txtt/m/n/10 fore
cast_point \T1/qtm/m/n/10 or \T1/txtt/m/n/10 predictions_start_date \T1/qtm/m/n
/10 and
[843]
Underfull \hbox (badness 10000) in paragraph at lines 88544--88546
[]\T1/txtt/bx/n/10 credentials \T1/qtm/m/n/10 (\T1/txtt/m/n/10 Optional[List] a
 list \T1/qtm/m/n/10 of \T1/txtt/m/n/10 credentials for the datasets
[844]
Underfull \hbox (badness 10000) in paragraph at lines 88609--88615
[]\T1/txtt/bx/n/10 credential_data \T1/qtm/m/n/10 (\T1/txtt/m/n/10 BasicCredent
ialsDataDict | S3CredentialsDataDict |
[845] [846]
Overfull \hbox (0.89392pt too wide) in paragraph at lines 88875--88879
[]\T1/txtt/bx/n/10 credentials \T1/qtm/m/n/10 (\T1/txtt/m/n/10 list[BasicCreden
tialsDict | CredentialIdCredentialsDict]\T1/qtm/m/n/10 ,
[847] [848] [849] [850] [851]
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[852] [853] [854] [855]
Underfull \hbox (badness 10000) in paragraph at lines 89965--89974
[]\T1/txtt/bx/n/10 scoring_type \T1/qtm/m/n/10 (\T1/txtt/m/n/10 Optional[str]\T
1/qtm/m/n/10 ) ^^U Ei-ther \T1/txtt/m/n/10 validation \T1/qtm/m/n/10 or \T1/txt
t/m/n/10 crossValidation
[856]
Underfull \hbox (badness 10000) in paragraph at lines 90064--90069
[]\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 90064--90069
[][]\T1/txtt/m/sl/10 partitioning_methods.construct_duration_string[][] \T1/qtm
/m/n/10 helper method. Please see [][]\T1/qtm/m/it/10 date-time

Underfull \hbox (badness 7133) in paragraph at lines 90081--90084
\T1/qtm/m/n/10 be used to train the model. If spec-i-fied, nei-ther \T1/txtt/m/
n/10 training_duration \T1/qtm/m/n/10 nor
[857] [858]
Underfull \hbox (badness 10000) in paragraph at lines 90283--90288
\T1/txtt/bx/n/10 status \T1/qtm/m/n/10 (\T1/txtt/m/n/10 QUEUE_STATUS enum\T1/qt
m/m/n/10 , \T1/qtm/m/it/10 op-tional\T1/qtm/m/n/10 ) ^^U If called with
[859]
Underfull \hbox (badness 10000) in paragraph at lines 90461--90466
\T1/txtt/bx/n/10 status \T1/qtm/m/n/10 (\T1/txtt/m/n/10 QUEUE_STATUS enum\T1/qt
m/m/n/10 , \T1/qtm/m/it/10 op-tional\T1/qtm/m/n/10 ) ^^U If called with

Underfull \hbox (badness 5345) in paragraph at lines 90461--90466
\T1/qtm/m/n/10 QUEUE_STATUS.INPROGRESS, will re-turn the mod-el-ing jobs that a
re cur-rently

Underfull \hbox (badness 10000) in paragraph at lines 90506--90511
\T1/txtt/bx/n/10 status \T1/qtm/m/n/10 (\T1/txtt/m/n/10 QUEUE_STATUS enum\T1/qt
m/m/n/10 , \T1/qtm/m/it/10 op-tional\T1/qtm/m/n/10 ) ^^U If called with
[860] [861] [862] [863]
Underfull \hbox (badness 10000) in paragraph at lines 90900--90906
[]\T1/txtt/bx/n/10 fairness_metrics_set \T1/qtm/m/n/10 (\T1/txtt/m/n/10 Optiona
l[str].\T1/qtm/m/n/10 ) ^^U (New in ver-sion v2.24) Met-

Underfull \hbox (badness 10000) in paragraph at lines 90900--90906
\T1/qtm/m/n/10 ric to use for cal-cu-lat-ing fair-ness. Can be one of \T1/txtt/
m/n/10 proportionalParity\T1/qtm/m/n/10 ,

Underfull \hbox (badness 10000) in paragraph at lines 90919--90926
[]\T1/txtt/bx/n/10 bias_mitigation_technique \T1/qtm/m/n/10 (\T1/txtt/m/n/10 Op
tional[str]\T1/qtm/m/n/10 ) ^^U One of

Underfull \hbox (badness 10000) in paragraph at lines 90919--90926
\T1/qtm/m/n/10 datarobot.enums.BiasMitigationTechnique Op-tions: - `pre-pro-ces
s-in-gReweigh-ing' -

Underfull \hbox (badness 7944) in paragraph at lines 90919--90926
\T1/qtm/m/n/10 `post-Pro-cess-in-gRe-jec-tionOp-tion-Based-Clas-si-fi-ca-tion' 
The tech-nique by which we'll
[864]
Underfull \hbox (badness 10000) in paragraph at lines 90928--90932
[]\T1/txtt/bx/n/10 include_bias_mitigation_feature_as_predictor_variable

Overfull \hbox (3.89389pt too wide) in paragraph at lines 90963--90967
[]\T1/txtt/bx/n/10 number_of_incremental_learning_iterations_before_best_model_
selection
[865]
Underfull \hbox (badness 10000) in paragraph at lines 91085--91088
[]\T1/txtt/bx/n/10 partitioning_method \T1/qtm/m/n/10 (\T1/txtt/m/n/10 Partitio
ningMethod\T1/qtm/m/n/10 , \T1/qtm/m/it/10 op-tional\T1/qtm/m/n/10 ) ^^U An in-
stance of

Underfull \hbox (badness 10000) in paragraph at lines 91085--91088
\T1/txtt/m/n/10 datarobot.helpers.partitioning_methods.PartitioningMethod \T1/q
tm/m/n/10 that will
[866] [867] [868]
Underfull \hbox (badness 10000) in paragraph at lines 91379--91381
[]\T1/txtt/bx/n/10 ValueError \T1/qtm/m/n/10 ^^U If value of \T1/txtt/m/n/10 va
riable_type \T1/qtm/m/n/10 is not from \T1/txtt/m/n/10 datarobot.enums.
[869] [870] [871]
Underfull \hbox (badness 10000) in paragraph at lines 91880--91887
[]\T1/txtt/bx/n/10 bias_mitigation_technique \T1/qtm/m/n/10 (\T1/txtt/m/n/10 Op
tional[str]\T1/qtm/m/n/10 ) ^^U One of

Underfull \hbox (badness 10000) in paragraph at lines 91880--91887
\T1/qtm/m/n/10 datarobot.enums.BiasMitigationTechnique Op-tions: - `pre-pro-ces
s-in-gReweigh-ing' -

Underfull \hbox (badness 7944) in paragraph at lines 91880--91887
\T1/qtm/m/n/10 `post-Pro-cess-in-gRe-jec-tionOp-tion-Based-Clas-si-fi-ca-tion' 
The tech-nique by which we'll
[872] [873]
Underfull \hbox (badness 10000) in paragraph at lines 92088--92094
[]\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

Underfull \hbox (badness 10000) in paragraph at lines 92099--92104
\T1/txtt/bx/n/10 datetime_partition_spec \T1/qtm/m/n/10 ([][]\T1/txtt/m/sl/10 D
atetimePartitioningSpecification[][]\T1/qtm/m/n/10 ) ^^U
[874] [875]
Underfull \hbox (badness 6364) in paragraph at lines 92303--92306
[]\T1/txtt/bx/n/10 consider_blenders_in_recommendation \T1/qtm/m/n/10 (\T1/txtt
/m/n/10 Optional[bool]\T1/qtm/m/n/10 ) ^^U (New in ver-sion
[876]
Underfull \hbox (badness 10000) in paragraph at lines 92374--92380
[]\T1/txtt/bx/n/10 fairness_metrics_set \T1/qtm/m/n/10 (\T1/txtt/m/n/10 Optiona
l[str].\T1/qtm/m/n/10 ) ^^U (New in ver-sion v2.24) Met-

Underfull \hbox (badness 10000) in paragraph at lines 92374--92380
\T1/qtm/m/n/10 ric to use for cal-cu-lat-ing fair-ness. Can be one of \T1/txtt/
m/n/10 proportionalParity\T1/qtm/m/n/10 ,

Underfull \hbox (badness 10000) in paragraph at lines 92393--92400
[]\T1/txtt/bx/n/10 bias_mitigation_technique \T1/qtm/m/n/10 (\T1/txtt/m/n/10 Op
tional[str]\T1/qtm/m/n/10 ) ^^U One of

Underfull \hbox (badness 10000) in paragraph at lines 92393--92400
\T1/qtm/m/n/10 datarobot.enums.BiasMitigationTechnique Op-tions: - `pre-pro-ces
s-in-gReweigh-ing' -

Underfull \hbox (badness 6741) in paragraph at lines 92408--92410
[]\T1/txtt/bx/n/10 default_monotonic_increasing_featurelist_id \T1/qtm/m/n/10 (
\T1/txtt/m/n/10 Optional[str]\T1/qtm/m/n/10 ) ^^U Re-turned

Underfull \hbox (badness 6741) in paragraph at lines 92412--92414
[]\T1/txtt/bx/n/10 default_monotonic_decreasing_featurelist_id \T1/qtm/m/n/10 (
\T1/txtt/m/n/10 Optional[str]\T1/qtm/m/n/10 ) ^^U Re-turned
[877]
Underfull \hbox (badness 10000) in paragraph at lines 92457--92461
[]\T1/txtt/bx/n/10 number_of_incremental_learning_iterations_before_best_model_
selection
[878] [879]
Underfull \hbox (badness 10000) in paragraph at lines 92841--92844
[]\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 92851--92854
[]\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 92862--92865
[]\T1/txtt/bx/n/10 autopilot_data_selection_method \T1/qtm/m/n/10 (\T1/txtt/m/n
/10 str\T1/qtm/m/n/10 ) ^^U one of \T1/txtt/m/n/10 datarobot.enums.

Underfull \hbox (badness 7133) in paragraph at lines 92862--92865
\T1/txtt/m/n/10 DATETIME_AUTOPILOT_DATA_SELECTION_METHOD\T1/qtm/m/n/10 . Whethe
r mod-els cre-ated by the
[880] [881]
Underfull \hbox (badness 6927) in paragraph at lines 92979--92982
[]\T1/txtt/bx/n/10 periodicities \T1/qtm/m/n/10 (\T1/txtt/m/n/10 list \T1/qtm/m
/n/10 of [][]\T1/txtt/m/sl/10 Periodicity[][]\T1/qtm/m/n/10 , \T1/qtm/m/it/10 o
p-tional\T1/qtm/m/n/10 ) ^^U (New in ver-sion v2.9) a
[882]
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[]\T1/qtm/m/n/10 Op-tion 2 (New in ver-sion v2.20): Use \T1/txtt/m/n/10 index\T
1/qtm/m/n/10 , \T1/txtt/m/n/10 primary_training_start_date\T1/qtm/m/n/10 ,

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[]\T1/txtt/bx/n/10 time_unit \T1/qtm/m/n/10 (\T1/txtt/m/n/10 string\T1/qtm/m/n/
10 ) ^^U Time step unit, valid op-tions are val-ues from
[884]
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[]\T1/txtt/bx/n/10 autopilot_data_selection_method \T1/qtm/m/n/10 (\T1/txtt/m/n
/10 str\T1/qtm/m/n/10 ) ^^U one of \T1/txtt/m/n/10 datarobot.enums.

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\T1/txtt/m/n/10 DATETIME_AUTOPILOT_DATA_SELECTION_METHOD\T1/qtm/m/n/10 . Whethe
r mod-els cre-ated by the
[885] [886]
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[]\T1/txtt/bx/n/10 periodicities \T1/qtm/m/n/10 (\T1/txtt/m/n/10 list \T1/qtm/m
/n/10 of [][]\T1/txtt/m/sl/10 Periodicity[][]\T1/qtm/m/n/10 , \T1/qtm/m/it/10 o
p-tional\T1/qtm/m/n/10 ) ^^U (New in ver-sion v2.9) a
[887] [888] [889] [890] [891]
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[]\T1/qtm/m/n/10 This is the spec-i-fi-ca-tion that should be passed to [][]\T1
/txtt/m/sl/10 Project.analyze_and_model[][] \T1/qtm/m/n/10 via the

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\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.
[892] [893]
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\T1/qtm/m/n/10 and \T1/txtt/m/n/10 validation_duration\T1/qtm/m/n/10 ). If \T1/
txtt/m/n/10 True\T1/qtm/m/n/10 , will use a start/end date ap-proach for
[894] [895] [896] [897] [898] [899] [900] [901] [902]
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[]\T1/txtt/bx/n/10 backtests \T1/qtm/m/n/10 (\T1/txtt/m/n/10 list \T1/qtm/m/n/1
0 of \T1/txtt/m/n/10 dicts containing validation_start_date \T1/qtm/m/n/10 and
[903] [904] [905] [906] [907] [908] [909] [910]
Chapter 43.
[911]
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[912]
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[]\T1/txtt/bx/n/10 shap_warnings \T1/qtm/m/n/10 ([][]\T1/txtt/m/sl/10 list[][]\
T1/qtm/m/n/10 ) ^^U (New in ver-sion v2.21) Will

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\T1/qtm/m/n/10 be present if \T1/txtt/m/n/10 explanation_algorithm \T1/qtm/m/n/
10 was set to
[913] [914] [915] [916]
Chapter 44.
[917] [918] [919] [920] [921] [922] [923] [924]
Chapter 45.
[925] [926] [927] [928] [929] [930] [931] [932] [933] [934] [935] [936]
[937] [938] [939] [940] [941] [942] [943] [944] [945] [946] [947] [948]
[949] [950] [951] [952]
Underfull \hbox (badness 10000) in paragraph at lines 101644--101646
[]\T1/txtt/bx/n/10 datasource_info \T1/qtm/m/n/10 (\T1/txtt/m/n/10 Union[Dataso
urceDataWarehouseInfo\T1/qtm/m/n/10 ,
[953] [954] [955] [956]
Chapter 46.
[957] [958]
Chapter 47.

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[]\T1/qtm/m/n/10 Added op-tional pa-ram-e-ter \T1/txtt/m/n/10 chunk_definition_
id \T1/qtm/m/n/10 in [][]\T1/txtt/m/sl/10 Model.start_incremental_learning_from
_sample[][]
[959]
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[]\T1/qtm/m/n/10 Fixed [][]\T1/txtt/m/sl/10 PlaygroundOOTBMetricConfiguration.c
reate[][] \T1/qtm/m/n/10 by us-ing the right pay-load for
[960]
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[]\T1/qtm/m/n/10 Added new at-tributes \T1/txtt/m/n/10 prediction_point\T1/qtm/
m/n/10 , \T1/txtt/m/n/10 relationships_configuration_id \T1/qtm/m/n/10 and
[961]
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[]\T1/qtm/m/n/10 Ex-tended the ad-vanced op-tions avail-able when set-ting a ta
r-get to in-clude pa-ram-e-ter: `fea-

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[]\T1/qtm/m/n/10 Added \T1/txtt/m/n/10 NonChatAwareCustomModelValidation \T1/qt
m/m/n/10 as the base class for

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[][]\T1/txtt/m/sl/10 CustomModelVectorDatabaseValidation[][] \T1/qtm/m/n/10 and
 \T1/txtt/m/n/10 CustomModelEmbeddingValidation\T1/qtm/m/n/10 . In con-trast,

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[]\T1/qtm/m/n/10 Added op-tional pa-ram-e-ter \T1/txtt/m/n/10 chat_model_id \T1
/qtm/m/n/10 to [][]\T1/txtt/m/sl/10 CustomModelLLMValidation.create[][] \T1/qtm
/m/n/10 and
[962]
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[]\T1/qtm/m/n/10 Fixed a Use Case query pa-ram-e-ter name in \T1/txtt/m/n/10 Cu
stomModelLLMValidation.list\T1/qtm/m/n/10 ,

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[]\T1/qtm/m/n/10 Method [][]\T1/txtt/m/sl/10 CustomModelLLMValidation.create[][
] \T1/qtm/m/n/10 no longer re-quires the \T1/txtt/m/n/10 prompt_column_name \T1
/qtm/m/n/10 and
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[]\T1/qtm/m/n/10 Add new at-tributes to [][]\T1/txtt/m/sl/10 VectorDatabase[][]
\T1/qtm/m/n/10 : \T1/txtt/m/n/10 parent_id\T1/qtm/m/n/10 , \T1/txtt/m/n/10 fami
ly_id\T1/qtm/m/n/10 , \T1/txtt/m/n/10 metadata_columns\T1/qtm/m/n/10 ,

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

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

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[]\T1/qtm/m/n/10 Up-dated the schema for [][]\T1/txtt/m/sl/10 EvaluationDataset
MetricAggregation[][] \T1/qtm/m/n/10 to in-clude the new at-tributes
[966]
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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.
[967]
Underfull \hbox (badness 10000) in paragraph at lines 103254--103256
[]\T1/qtm/m/n/10 Re-named \T1/txtt/m/n/10 datarobot.enums.CustomTaskOutgoingNet
workPolicy \T1/qtm/m/n/10 to [][]\T1/txtt/m/sl/10 datarobot.enums.

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[]\T1/qtm/m/n/10 Up-dated the de-scrip-tion for the pa-ram-e-ter: `num-ber_of_i
ncremental_learning_iterations_before_best_model_selection'

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\T1/qtm/m/n/10 -\T1/txtt/m/n/10 DatasetInfo \T1/qtm/m/n/10 -\T1/txtt/m/n/10 Dyn
amicDatasetProps \T1/qtm/m/n/10 -\T1/txtt/m/n/10 RowsChunkDefinition \T1/qtm/m/
n/10 -\T1/txtt/m/n/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
[968]
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[]\T1/qtm/m/n/10 Added a new class [][]\T1/txtt/m/sl/10 HostedCustomMetricTempl
ate[][] \T1/qtm/m/n/10 for hosted cus-tom met-rics tem-

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

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

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

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

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

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

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

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

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

Underfull \hbox (badness 10000) in paragraph at lines 103439--103446
\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.

Underfull \hbox (badness 10000) in paragraph at lines 103439--103446
\T1/txtt/m/n/10 create> \T1/qtm/m/n/10 to cre-ate an eval-u-a-tion dataset con-
fig-u-ra-tion. \T1/txtt/m/n/10 EvaluationDatasetConfiguration.

Underfull \hbox (badness 10000) in paragraph at lines 103439--103446
\T1/txtt/m/n/10 update <datarobot._experimental.models.genai.evaluation_dataset
_configuration.

Underfull \hbox (badness 10000) in paragraph at lines 103439--103446
\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 103439--103446
\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.

Underfull \hbox (badness 10000) in paragraph at lines 103448--103453
\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 103448--103453
\T1/txtt/m/n/10 <datarobot._experimental.models.genai.evaluation_dataset_metric
_aggregation.
[969]
Underfull \hbox (badness 10000) in paragraph at lines 103455--103458
[]\T1/qtm/m/n/10 Added a new class \T1/txtt/m/n/10 SyntheticEvaluationDataset <
datarobot._experimental.models.genai.

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

Underfull \hbox (badness 10000) in paragraph at lines 103460--103468
\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 103460--103468
\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 103460--103468
\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 103460--103468
\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 103460--103468
\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.
[970]
Underfull \hbox (badness 10000) in paragraph at lines 103557--103559
[]\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
[971]
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[]\T1/qtm/m/n/10 Ex-tended the ad-vanced op-tions avail-able when set-ting a ta
r-get to in-clude new pa-ram-e-ter:
[972]
Underfull \hbox (badness 10000) in paragraph at lines 103735--103737
[][][]\T1/txtt/m/sl/10 RuntimeParameterValue[][] \T1/qtm/m/n/10 to de-fine run-
time pa-ram-e-ter over-ride value, to be as-signed to

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

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\T1/txtt/m/sl/10 score_with_leaderboard_model[][] \T1/qtm/m/n/10 and [][]\T1/tx
tt/m/sl/10 BatchPredictionJob.score[][] \T1/qtm/m/n/10 that au-to-mat-i-cally a
s-signs the
[973]
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[]\T1/qtm/m/n/10 Added new enum value to \T1/txtt/m/n/10 datarobot.enums.TARGET
_TYPE \T1/qtm/m/n/10 and \T1/txtt/m/n/10 datarobot.enums.
[974]
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[]\T1/qtm/m/n/10 Added a new pa-ram-e-ter \T1/txtt/m/n/10 base_environment_vers
ion_id \T1/qtm/m/n/10 to [][]\T1/txtt/m/sl/10 CustomModelVersion.

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

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

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

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

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

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

Underfull \hbox (badness 10000) in paragraph at lines 103971--103977
\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 103971--103977
\T1/qtm/m/n/10 met-ric con-fig-u-ra-tion. \T1/txtt/m/n/10 CostMetricConfigurati
on.create <datarobot._experimental.models.

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\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 103971--103977
\T1/txtt/m/n/10 cost_metric_configurations.CostMetricConfiguration.update> \T1/
qtm/m/n/10 to up-date the cost met-ric

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\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 103979--103981
[]\T1/qtm/m/n/10 Added a new class \T1/txtt/m/n/10 LLMCostConfiguration <dataro
bot._experimental.models.genai.
[975] [976]
Underfull \hbox (badness 10000) in paragraph at lines 104137--104139
[]\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 104141--104143
[]\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 104175--104177
[]\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 104175--104177
\T1/txtt/m/n/10 _experimental.models.genai.comparison_prompt.ComparisonPrompt.u
pdate>\T1/qtm/m/n/10 , to up-date a
[977]
Underfull \hbox (badness 10000) in paragraph at lines 104243--104245
[]\T1/qtm/m/n/10 Added new meth-ods to the class \T1/txtt/m/n/10 Notebook \T1/q
tm/m/n/10 which in-cludes \T1/txtt/m/n/10 Notebook.run \T1/qtm/m/n/10 and \T1/t
xtt/m/n/10 Notebook.
[978]
Underfull \hbox (badness 10000) in paragraph at lines 104330--104336
\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 104330--104336
[][]\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 104330--104336
\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 104330--104336
\T1/qtm/m/n/10 ate a new reg-is-tered model ver-sion from a Leader-board model.
 [][]\T1/txtt/m/sl/10 RegisteredModelVersion.

Underfull \hbox (badness 10000) in paragraph at lines 104373--104375
[]\T1/qtm/m/n/10 Added method meth:\T1/txtt/m/n/10 Deployment.get_predictions_v
s_actuals_over_time <datarobot.models.
[979]
Underfull \hbox (badness 10000) in paragraph at lines 104408--104410
\T1/qtm/m/n/10 All in-ter-ac-tions with \T1/txtt/m/n/10 Project.advanced_option
s \T1/qtm/m/n/10 should be ex-pected to be through the
[980]
Underfull \hbox (badness 10000) in paragraph at lines 104513--104519
\T1/txtt/m/sl/10 run[][] [][]BatchMonitoringJob.get_status[][] [][]BatchMonitor
ingJob.cancel[][] [][]BatchMonitoringJob.

Underfull \hbox (badness 10000) in paragraph at lines 104579--104588
\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 104579--104588
\T1/txtt/m/sl/10 get[][] [][]BatchMonitoringJobDefinition.create[][] [][]BatchM
onitoringJobDefinition.update[][]

Underfull \hbox (badness 10000) in paragraph at lines 104579--104588
[][]\T1/txtt/m/sl/10 BatchMonitoringJobDefinition.delete[][] [][]BatchMonitorin
gJobDefinition.run_on_schedule[][]

Underfull \hbox (badness 10000) in paragraph at lines 104601--104614
\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 104601--104614
[][]\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 104601--104614
\T1/txtt/m/sl/10 create_from_dataset[][] [][]Project.create_segmented_project_f
rom_clustering_model[][] [][]Project.
[981]
Underfull \hbox (badness 10000) in paragraph at lines 104642--104644
[]\T1/qtm/m/n/10 If the user con-fig-ures the client via \T1/txtt/m/n/10 Client
(...)\T1/qtm/m/n/10 , then in-voke \T1/txtt/m/n/10 Client(...,

Underfull \hbox (badness 10000) in paragraph at lines 104646--104648
[]\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 104650--104652
[]\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 104659--104661
[]\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 104701--104716
\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 104701--104716
[][]\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 104701--104716
[][]\T1/txtt/m/sl/10 Model.request_lift_chart[][] [][]Model.request_residuals_c
hart[][] [][]Model.get_roc_curve[][] [][]Model.
[982]
Underfull \hbox (badness 10000) in paragraph at lines 104746--104748
[]\T1/qtm/m/n/10 Added new method for re-triev-ing all avail-able fea-ture im-p
acts for the model [][]\T1/txtt/m/sl/10 Model.

Underfull \hbox (badness 10000) in paragraph at lines 104770--104772
\T1/txtt/m/sl/10 PredictionExplanations.get_all_as_dataframe()[][] \T1/qtm/m/n/
10 and [][]\T1/txtt/m/sl/10 datarobot.PredictionExplanations.
[983]
Underfull \hbox (badness 10000) in paragraph at lines 104898--104901
[]\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 104908--104911
[]\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 104923--104926
[]\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 104928--104931
[]\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 104938--104941
[]\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.
[984] [985]
Underfull \hbox (badness 10000) in paragraph at lines 105080--105084
[]\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 105080--105084
[][]\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 105086--105091
[]\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 105086--105091
[][]\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 105117--105121
[]\T1/qtm/m/n/10 Added two new meth-ods to the Im-ageAug-men-ta-tion-List class
: \T1/txtt/m/n/10 ImageAugmentationList.list\T1/qtm/m/n/10 ,
[986]
Underfull \hbox (badness 10000) in paragraph at lines 105188--105190
[]\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
[987] [988]
Underfull \hbox (badness 10000) in paragraph at lines 105457--105460
[]\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 105462--105464
[]\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.
[989]
Underfull \hbox (badness 10000) in paragraph at lines 105545--105547
[][][]\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 105549--105551
[][][]\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 105581--105583
[]\T1/qtm/m/n/10 The [][]\T1/txtt/m/sl/10 Deployment[][] \T1/qtm/m/n/10 method 
\T1/txtt/m/n/10 create_from_custom_model_image \T1/qtm/m/n/10 was re-moved. Use
 [][]\T1/txtt/m/sl/10 Deployment.

Underfull \hbox (badness 10000) in paragraph at lines 105633--105638
[]\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 105633--105638
\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 -
[990]
Underfull \hbox (badness 10000) in paragraph at lines 105675--105682
[]\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 105675--105682
[][]\T1/txtt/m/sl/10 PredictionExplanations.create[][]\T1/qtm/m/n/10 ) as well 
as batch scor-ing (\T1/txtt/m/n/10 explanations_mode \T1/qtm/m/n/10 in

Underfull \hbox (badness 10000) in paragraph at lines 105726--105739
\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 105726--105739
\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 105726--105739
\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 105726--105739
\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 105726--105739
\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.
[991]
Underfull \hbox (badness 10000) in paragraph at lines 105852--105854
[]\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 105870--105873
[]\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
[992] [993]
Underfull \hbox (badness 10000) in paragraph at lines 106096--106098
[]\T1/txtt/m/n/10 DatetimeModel.get_feature_fit <datarobot.models.DatetimeModel
.

Underfull \hbox (badness 10000) in paragraph at lines 106122--106125
[]\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 ,
[994]
Underfull \hbox (badness 6268) in paragraph at lines 106223--106226
[]\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 106258--106262
[]\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
[995]
Underfull \hbox (badness 10000) in paragraph at lines 106268--106276
[]\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 106268--106276
\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 106268--106276
\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 106268--106276
\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 106268--106276
\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 106268--106276
[][]\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.
[996]
Underfull \hbox (badness 10000) in paragraph at lines 106418--106421
[]\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 106494--106497
[]\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.
[997] [998]
Underfull \hbox (badness 10000) in paragraph at lines 106735--106738
[]\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 106740--106743
[]\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.
[999]
Underfull \hbox (badness 7907) in paragraph at lines 106911--106916
[]\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:
[1000]
Underfull \hbox (badness 10000) in paragraph at lines 106953--106956
[]\T1/qtm/m/n/10 Added method to down-load fea-ture dis-cov-ery recipe SQLs (li
m-ited beta fea-ture). [][]\T1/txtt/m/sl/10 Project.

Underfull \hbox (badness 10000) in paragraph at lines 107029--107034
[]\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 107029--107034
\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.
[1001]
Underfull \hbox (badness 10000) in paragraph at lines 107054--107062
[][]\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 107054--107062
\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 107130--107133
[]\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 107135--107141
[]\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 107135--107141
\T1/txtt/m/sl/10 FeatureAssociationMatrixDetails[][] \T1/qtm/m/n/10 and [][]\T1
/txtt/m/sl/10 datarobot.models.FeatureAssociationFeaturelists[][]
[1002]
Underfull \hbox (badness 10000) in paragraph at lines 107165--107172
[]\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 107165--107172
\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 ,
[1003]
Underfull \hbox (badness 8170) in paragraph at lines 107301--107304
[]\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 107306--107309
\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
[1004]
Underfull \hbox (badness 10000) in paragraph at lines 107389--107394
[]\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 107414--107416
[]\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 107493--107497
[]\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
[1005]
Underfull \hbox (badness 10000) in paragraph at lines 107536--107539
[]\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:
[1006]
Underfull \hbox (badness 10000) in paragraph at lines 107679--107688
[]\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 107690--107697
[]\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.
[1007] [1008]
Underfull \hbox (badness 10000) in paragraph at lines 107890--107894
[]\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

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[]\T1/qtm/m/n/10 These meth-ods now pro-vide ad-di-tional meta-data fields in F
ea-ture Im-pact re-sults if called with

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

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[][]\T1/txtt/m/sl/10 SecondaryDatasetConfigurations.delete[][] \T1/qtm/m/n/10 s
oft deletes a Sec-ondary dataset con-fig-u-ra-tion.

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[]\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 .
[1009] [1010]
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[]\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.
[1011]
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[]\T1/qtm/m/n/10 Time se-ries model de-ploy-ments now sup-port pre-dic-tion in-
ter-vals. See

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[][]\T1/txtt/m/sl/10 Deployment.get_prediction_intervals_settings[][] \T1/qtm/m
/n/10 and [][]\T1/txtt/m/sl/10 Deployment.

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[]\T1/qtm/m/n/10 Re-gres-sion de-ploy-ments now sup-port :ref:\T1/txtt/m/n/10 p
rediction warnings<deployment_prediction_warning>\T1/qtm/m/n/10 . 

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[]\T1/qtm/m/n/10 It's now pos-si-ble to get fea-ture as-so-ci-a-tion sta-tuses 
for fea-turelists us-ing [][]\T1/txtt/m/sl/10 Project.
[1012]
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[]\T1/qtm/m/n/10 Method [][]\T1/txtt/m/sl/10 Project.set_target[][] \T1/qtm/m/n
/10 sup-port new op-tional pa-ram-e-ters \T1/txtt/m/n/10 featureEngineeringGrap
hs \T1/qtm/m/n/10 and

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[]\T1/qtm/m/n/10 Se-ries ac-cu-racy re-trieval meth-ods ([][]\T1/txtt/m/sl/10 D
atetimeModel.get_series_accuracy_as_dataframe[][] \T1/qtm/m/n/10 and
[1013]
Underfull \hbox (badness 10000) in paragraph at lines 108483--108485
[]\T1/qtm/m/n/10 Mono-tonic con-straints are now sup-ported for OTV projects. T
o that end, the pa-ram-e-ters

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\T1/txtt/m/n/10 monotonic_increasing_featurelist_id \T1/qtm/m/n/10 and \T1/txtt
/m/n/10 monotonic_decreasing_featurelist_id \T1/qtm/m/n/10 can be
[1014]
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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

Underfull \hbox (badness 10000) in paragraph at lines 108572--108575
\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
[1015] [1016]
Underfull \hbox (badness 10000) in paragraph at lines 108782--108791
[]\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.

Underfull \hbox (badness 10000) in paragraph at lines 108821--108823
[][][]\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
[1017]
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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

Underfull \hbox (badness 10000) in paragraph at lines 108962--108967
[]\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.
[1018]
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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.

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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.

Underfull \hbox (badness 7504) in paragraph at lines 109086--109094
\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
[1019]
Underfull \hbox (badness 10000) in paragraph at lines 109109--109112
[]\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 109119--109121
[]\T1/qtm/m/n/10 In-di-vid-ual cross val-i-da-tion scores can be re-trieved for
 new mod-els us-ing [][]\T1/txtt/m/sl/10 Model.

Underfull \hbox (badness 10000) in paragraph at lines 109161--109165
[][][]\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.
[1020]
Underfull \hbox (badness 10000) in paragraph at lines 109278--109282
[]\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 109278--109282
\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.
[1021]
Underfull \hbox (badness 5302) in paragraph at lines 109324--109328
\T1/qtm/m/n/10 re-cated and will be re-moved in 2.14. Use [][]\T1/txtt/m/sl/10 
datarobot.DatetimePartitioningSpecification.
[1022] [1023]
Underfull \hbox (badness 10000) in paragraph at lines 109598--109601
[]\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.
[1024] [1025]
Underfull \hbox (badness 10000) in paragraph at lines 109791--109793
[]\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,
[1026]
Underfull \hbox (badness 10000) in paragraph at lines 109895--109899
[]\T1/qtm/m/n/10 (Only rel-e-vant for on-premise users with a Stan-dalone Scor-
ing clus-ter.) Meth-ods
[1027]
Underfull \hbox (badness 6268) in paragraph at lines 110010--110014
[]\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.
[1028] [1029]
Underfull \hbox (badness 10000) in paragraph at lines 110146--110148
[]\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.
[1030] [1031] [1032]
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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
[1033] [1034] [1035] [1036] (./datarobot-public-api-client.ind [1037] [1038]
[1039]
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[]\T1/txtt/m/n/10 assign_environment() \T1/qtm/m/n/10 (\T1/qtm/m/it/10 datarobo
t._experimental.models.notebooks.execution_environment.ExecutionEnvironment

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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 ),
[1040] [1041]
Underfull \hbox (badness 10000) in paragraph at lines 272--274
[]\T1/txtt/m/n/10 continue_incremental_learning_from_incremental_model() \T1/qt
m/m/n/10 (\T1/qtm/m/it/10 datarobot.models.BlenderModel method\T1/qtm/m/n/10 ),


Underfull \hbox (badness 10000) in paragraph at lines 280--282
[]\T1/txtt/m/n/10 continue_incremental_learning_from_incremental_model() \T1/qt
m/m/n/10 (\T1/qtm/m/it/10 datarobot.models.RatingTableModel
[1042]
Underfull \hbox (badness 10000) in paragraph at lines 349--351
[]\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 351--353
[]\T1/txtt/m/n/10 create() \T1/qtm/m/n/10 (\T1/qtm/m/it/10 datarobot.models.gen
ai.evaluation_dataset_metric_aggregation.EvaluationDatasetMetricAggregation

Underfull \hbox (badness 10000) in paragraph at lines 367--369
[]\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
[1043] [1044] [1045] [1046] [1047]
Underfull \hbox (badness 10000) in paragraph at lines 738--740
[]\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
[1048]
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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 ),

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[]\T1/txtt/m/n/10 execute_codespace_notebook() \T1/qtm/m/n/10 (\T1/qtm/m/it/10 
datarobot._experimental.models.notebooks.session.NotebookSession class

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[]\T1/txtt/m/n/10 ExecutionEnvironmentAssignPayload \T1/qtm/m/n/10 (\T1/qtm/m/i
t/10 class in datarobot._experimental.models.notebooks.execution_environment\T1
/qtm/m/n/10 ),
[1049]
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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
[1050] [1051] [1052] [1053] [1054] [1055]
Underfull \hbox (badness 10000) in paragraph at lines 1461--1463
[]\T1/txtt/m/n/10 get_buckets_as_dataframe() \T1/qtm/m/n/10 (\T1/qtm/m/it/10 da
tarobot.models.deployment.custom_metrics.CustomMetricValuesOverBatch

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

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[]\T1/txtt/m/n/10 get_closest_data_for_featurelist() \T1/qtm/m/n/10 (\T1/qtm/m/
it/10 datarobot._experimental.models.data_matching.DataMatching

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

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[]\T1/txtt/m/n/10 get_document_page_with_text_locations() \T1/qtm/m/n/10 (\T1/q
tm/m/it/10 datarobot.models.documentai.document.DocumentTextExtractionSamplePag
e
[1056]
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[]\T1/txtt/m/n/10 get_execution_status() \T1/qtm/m/n/10 (\T1/qtm/m/it/10 dataro
bot._experimental.models.notebooks.session.NotebookSession class method\T1/qtm/
m/n/10 ),

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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
[1057] [1058]
Underfull \hbox (badness 10000) in paragraph at lines 1760--1762
[]\T1/txtt/m/n/10 get_most_recent_run() \T1/qtm/m/n/10 (\T1/qtm/m/it/10 datarob
ot._experimental.models.notebooks.scheduled_job.NotebookScheduledJob
[1059] [1060]
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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
[1061] [1062]
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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-
[1063] [1064]
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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
[1065]
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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
[1066]
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[]\T1/txtt/m/n/10 new_custom_model_version_with_config() \T1/qtm/m/n/10 (\T1/qt
m/m/it/10 datarobot.models.moderation.model_version_update.ModelVersionUpdate
[1067]
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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
[1068] [1069] [1070] [1071] [1072] [1073] [1074] [1075] [1076]
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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
[1077]
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[]\T1/txtt/m/n/10 wait_for_completion() \T1/qtm/m/n/10 (\T1/qtm/m/it/10 datarob
ot._experimental.models.notebooks.scheduled_job.NotebookScheduledJob
) [1078] (./datarobot-public-api-client.aux)

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Chapter 3.
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cy 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
[65] [66] [67] [68]

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l.4612 ...gment\PYGZus{}id}\PYG{l+s+s2}{\PYGZdq{}}
                                                  

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[69] [70] [71] [72] [73]
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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
[74]
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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-
[75] [76] [77] [78]
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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.
[79] [80] [81]
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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
[85] [86] [87] [88] [89] [90] [91]

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[92] [93] [94 <./sample1.png> <./sample2.png>] [95] [96 <./activation_map1.png>
 <./activation_map2.png>] [97] [98 <./embeddings.png>] [99] [100] [101]
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Chapter 4.
[107]
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[108]
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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.
[109] [110] [111] [112] [113] [114] [115] [116]
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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-
[122]
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[]|\T1/qtm/m/n/10 The hour(s)

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\T1/qtm/m/n/10 of the day

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\T1/qtm/m/n/10 that the job

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[]|\T1/qtm/m/n/10 Strings, ei-

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\T1/qtm/m/n/10 ther 3-letter

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\T1/qtm/m/n/10 ab-bre-vi-a-tions

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\T1/qtm/m/n/10 or the full

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\T1/qtm/m/n/10 change-ably

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\T1/qtm/m/n/10 pat-i-ble with

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\T1/txtt/m/n/10 day_of_month

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\T1/qtm/m/n/10 tions or the

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[]|\T1/qtm/m/n/10 The date(s)

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\T1/qtm/m/n/10 such as
[123]
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[124]
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\T1/qtm/m/n/10 Job def-i-ni-tions are only be ex-e-cuted by the sched-uler if \
T1/txtt/m/n/10 enabled \T1/qtm/m/n/10 is set to \T1/txtt/m/n/10 True\T1/qtm/m/n
/10 . If you have a

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\T1/qtm/m/n/10 job def-i-ni-tion that was pre-vi-ously run-ning as a sched-uled
 job, but should now be stopped, sim-ply
[125] [126]
Chapter 5.

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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
[127] [128] [129] [130] [131] [132] [133] [134] [135] [136] [137] [138]
[139] [140] [141]
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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.
[142] [143] [144] [145] [146] [147] [148] [149]
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[150] [151] [152]
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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
[153] [154] [155] [156] [157] [158] [159] [160] [161] [162] [163]
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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
[164] [165]
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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
[166] [167] [168] [169] [170] [171] [172] [173] [174] [175] [176] [177]
[178] [179] [180] [181]
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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.
[182] [183] [184] [185]
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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
[186] [187] [188] [189] [190]
Chapter 6.
[191] [192] [193] [194] [195] [196] [197] [198] [199] [200]
Chapter 7.
[201] [202] [203] [204]
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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
[205] [206]
Chapter 8.
[207] [208] [209] [210]
Chapter 9.
[211] [212]
Chapter 10.
[213] [214]
Chapter 11.
[215] [216]
Chapter 12.
[217] [218] [219] [220] [221] [222] [223]
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[224] [225] [226]
Chapter 13.
[227] [228] [229] [230] [231] [232] [233]
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[]\T1/txtt/bx/n/10 source_url \T1/qtm/m/n/10 (\T1/txtt/m/n/10 str\T1/qtm/m/n/10
 ) ^^U The URL for the pre-dic-tion dataset (e.g.:

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[]\T1/txtt/bx/n/10 destination_url \T1/qtm/m/n/10 (\T1/txtt/m/n/10 str\T1/qtm/m
/n/10 ) ^^U The URL for the scored dataset (e.g.:
[234]
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[]\T1/txtt/bx/n/10 source_url \T1/qtm/m/n/10 (\T1/txtt/m/n/10 str\T1/qtm/m/n/10
 ) ^^U The URL for the pre-dic-tion dataset (e.g.:

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[]\T1/txtt/bx/n/10 destination_url \T1/qtm/m/n/10 (\T1/txtt/m/n/10 str\T1/qtm/m
/n/10 ) ^^U The URL for the scored dataset (e.g.:
[235]
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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.
[236] [237] [238] [239] [240] [241] [242] [243] [244] [245]
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\T1/txtt/bx/n/10 ValueError: \T1/qtm/m/n/10 ^^U If the generic Job was not a pr
e-dict job, e.g. job_type !=
[246] [247] [248] [249] [250]
Chapter 14.

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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 , 
[251]
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\T1/qtm/m/it/10 tinue_on_error=False\T1/qtm/m/n/10 , 
[252] [253] [254]
Chapter 15.
[255] [256] [257]
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[]\T1/txtt/bx/n/10 hex_column_name_lookup \T1/qtm/m/n/10 (\T1/txtt/m/n/10 list[
UserBlueprintsHexColumnNameLookupEntry]\T1/qtm/m/n/10 ,

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[]\T1/txtt/bx/n/10 supported_target_types \T1/qtm/m/n/10 (\T1/txtt/m/n/10 list[
enum(\TS1/txtt/m/n/10 ``\T1/qtm/m/n/10 'binary'\T1/txtt/m/n/10 , \TS1/txtt/m/n/
10 ``'\T1/txtt/m/n/10 multiclass\TS1/txtt/m/n/10 '\T1/qtm/m/n/10 ,
[258] [259] [260] [261]
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[]\T1/txtt/bx/n/10 task_parameters \T1/qtm/m/n/10 (\T1/txtt/m/n/10 list(UserBlu
eprintTaskParameterValidationRequestParamItem)\T1/qtm/m/n/10 )
[262]
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[]\T1/txtt/bx/n/10 share_recipient_type \T1/qtm/m/n/10 (\T1/txtt/m/n/10 enum(\T
S1/txtt/m/n/10 ``\T1/qtm/m/n/10 'user'\T1/txtt/m/n/10 , \TS1/txtt/m/n/10 ``'\T1
/txtt/m/n/10 group\TS1/txtt/m/n/10 '\T1/qtm/m/n/10 , \TS1/txtt/m/n/10 '\T1/txtt
/m/n/10 organization\TS1/txtt/m/n/10 '\T1/txtt/m/n/10 )\T1/qtm/m/n/10 ,
[263]
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[]\T1/txtt/bx/n/10 roles \T1/qtm/m/n/10 (\T1/txtt/m/n/10 list(or(GrantAccessCon
trolWithUsernameValidator\T1/qtm/m/n/10 ,

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[]\T1/txtt/bx/n/10 limit \T1/qtm/m/n/10 (\T1/txtt/m/n/10 int\T1/qtm/m/n/10 , \T
1/txtt/m/n/10 Optional. (default\T1/qtm/m/n/10 : \T1/txtt/m/n/10 0)\T1/qtm/m/n/
10 , \T1/txtt/m/n/10 at most this many results are
[264]
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[]\T1/txtt/bx/n/10 added_to_menu \T1/qtm/m/n/10 (\T1/txtt/m/n/10 list(UserBluep
rintAddedToMenuItem)\T1/qtm/m/n/10 ) ^^U The list of
[265]
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[]\T1/txtt/bx/n/10 task_parameters \T1/qtm/m/n/10 (\T1/txtt/m/n/10 list(UserBlu
eprintTaskParameterValidationRequestParamItem)\T1/qtm/m/n/10 )
[266]
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[]\T1/txtt/bx/n/10 description \T1/qtm/m/n/10 (\T1/txtt/m/n/10 Optional[str] (D
efault=None)\T1/qtm/m/n/10 ) ^^U The de-scrip-tion of the user

Underfull \hbox (badness 10000) in paragraph at lines 20288--20290
[]\T1/txtt/bx/n/10 limit \T1/qtm/m/n/10 (\T1/txtt/m/n/10 int\T1/qtm/m/n/10 , \T
1/txtt/m/n/10 Optional. (default\T1/qtm/m/n/10 : \T1/txtt/m/n/10 0)\T1/qtm/m/n/
10 , \T1/txtt/m/n/10 at most this many results are
[267] [268] [269]
Underfull \hbox (badness 10000) in paragraph at lines 20653--20658
[]\T1/txtt/bx/n/10 calibrate_predictions \T1/qtm/m/n/10 (\T1/txtt/m/n/10 Option
al[bool]\T1/qtm/m/n/10 ) ^^U whether anomaly pre-dic-tions

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\T1/qtm/m/n/10 should be cal-i-brated to be be-tween 0 and 1 by DR. if None, us
es de-fault
[270] [271] [272] [273] [274] [275] [276] [277] [278] [279] [280] [281]
[282] [283] [284]
Chapter 16.
[285] [286] [287] [288]
Chapter 17.
[289] [290]
Chapter 18.
[291]
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[292]
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[293] [294]
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[]\T1/txtt/m/n/10 List \T1/qtm/m/n/10 of \T1/txtt/m/n/10 AutomatedDocument obje
cts\T1/qtm/m/n/10 , \T1/txtt/m/n/10 where each object contains

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[295] [296] [297] [298] [299] [300]
Chapter 19.
[301] [302] [303] [304] [305] [306] [307]
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[]\T1/txtt/bx/n/10 kwargs \T1/qtm/m/n/10 (\T1/txtt/m/n/10 Keyword arguments spe
cific \T1/qtm/m/n/10 to \T1/txtt/m/n/10 the given credential_type that
[308]
Chapter 20.
[309] [310] [311]
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[]\T1/txtt/bx/n/10 time_step \T1/qtm/m/n/10 (\T1/txtt/m/n/10 Optional[CustomMet
ricBucketTimeStep]\T1/qtm/m/n/10 ) ^^U Cus-tom met-ric time
[312] [313] [314] [315]
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[316] [317] [318] [319] [320] [321] [322] [323]
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[]\T1/txtt/bx/n/10 metric_type \T1/qtm/m/n/10 (\T1/txtt/m/n/10 Optional[HostedC
ustomMetricsTemplateMetricTypeQueryParams]\T1/qtm/m/n/10 )
[324]
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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:
[325] [326] [327] [328] [329] [330]
Chapter 21.

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\T1/qtm/m/it/10 datarobot.TARGET_TYPE.MULTICLASS\T1/qtm/m/n/10 , \T1/qtm/m/it/1
0 datarobot.TARGET_TYPE.UNSTRUCTURED\T1/qtm/m/n/10 ,
[331]
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[]\T1/txtt/bx/n/10 network_egress_policy \T1/qtm/m/n/10 (\T1/txtt/m/n/10 dataro
bot.NETWORK_EGRESS_POLICY\T1/qtm/m/n/10 , \T1/qtm/m/it/10 op-tional\T1/qtm/m/n/
10 )

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

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

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[]\T1/txtt/bx/n/10 is_training_data_for_versions_permanently_enabled \T1/qtm/m/
n/10 (\T1/txtt/m/n/10 Optional[bool]\T1/qtm/m/n/10 ) ^^U
[332]
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[]\T1/txtt/bx/n/10 target_type \T1/qtm/m/n/10 (\T1/txtt/m/n/10 datarobot.TARGET
_TYPE\T1/qtm/m/n/10 ) ^^U Tar-get type of the cus-

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

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

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\T1/qtm/m/it/10 datarobot.TARGET_TYPE.UNSTRUCTURED\T1/qtm/m/n/10 , \T1/qtm/m/it
/10 datarobot.TARGET_TYPE.TEXT_GENERATION\T1/qtm/m/n/10 ] 
[333]
Underfull \hbox (badness 10000) in paragraph at lines 27340--27343
[]\T1/txtt/bx/n/10 network_egress_policy \T1/qtm/m/n/10 (\T1/txtt/m/n/10 dataro
bot.NETWORK_EGRESS_POLICY\T1/qtm/m/n/10 , \T1/qtm/m/it/10 op-tional\T1/qtm/m/n/
10 )

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

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

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[]\T1/txtt/bx/n/10 is_training_data_for_versions_permanently_enabled \T1/qtm/m/
n/10 (\T1/txtt/m/n/10 Optional[bool]\T1/qtm/m/n/10 ) ^^U
[334]
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[]\T1/txtt/bx/n/10 is_training_data_for_versions_permanently_enabled \T1/qtm/m/
n/10 (\T1/txtt/m/n/10 Optional[bool]\T1/qtm/m/n/10 ) ^^U
[335]
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[336]
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[]\T1/txtt/bx/n/10 image_type \T1/qtm/m/n/10 (\T1/txtt/m/n/10 str\T1/qtm/m/n/10
 ) ^^U the type of the im-age, ei-ther CUS-

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

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\T1/qtm/m/n/10 ing at-tempt is us-ing a Cus-tom-Mod-e-lIm-age as its model or C
US-

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

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

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\T1/qtm/m/n/10 pub-lic net-work. Val-ues: [\T1/qtm/m/it/10 datarobot.NETWORK_EG
RESS_POLICY.NONE\T1/qtm/m/n/10 ,
[337]
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[]\T1/txtt/bx/n/10 network_egress_policy \T1/qtm/m/n/10 (\T1/txtt/m/n/10 dataro
bot.NETWORK_EGRESS_POLICY\T1/qtm/m/n/10 , \T1/qtm/m/it/10 op-tional\T1/qtm/m/n/
10 )

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

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\T1/qtm/m/n/10 pub-lic net-work. Val-ues: [\T1/qtm/m/it/10 datarobot.NETWORK_EG
RESS_POLICY.NONE\T1/qtm/m/n/10 ,
[338] [339]
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[]\T1/txtt/bx/n/10 network_egress_policy \T1/qtm/m/n/10 (\T1/txtt/m/n/10 dataro
bot.NETWORK_EGRESS_POLICY\T1/qtm/m/n/10 , \T1/qtm/m/it/10 op-tional\T1/qtm/m/n/
10 )

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

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\T1/qtm/m/n/10 pub-lic net-work. Val-ues: [\T1/qtm/m/it/10 datarobot.NETWORK_EG
RESS_POLICY.NONE\T1/qtm/m/n/10 ,
[340]
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[]\T1/txtt/bx/n/10 base_environment_version_id \T1/qtm/m/n/10 (\T1/txtt/m/n/10 
str\T1/qtm/m/n/10 ) ^^U The base en-vi-ron-ment ver-sion ID

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

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

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

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

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

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

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

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

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

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\T1/qtm/m/n/10 pub-lic net-work. Val-ues: [\T1/qtm/m/it/10 datarobot.NETWORK_EG
RESS_POLICY.NONE\T1/qtm/m/n/10 ,
[341]
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[342]
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[]\T1/txtt/bx/n/10 base_environment_version_id \T1/qtm/m/n/10 (\T1/txtt/m/n/10 
str\T1/qtm/m/n/10 ) ^^U The base en-vi-ron-ment ver-sion ID

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

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

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uld be

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

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le1.txt^^Q,

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txt^^Q,

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e1.txt^^Q,

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

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r can ac-cess the

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\T1/qtm/m/n/10 pub-lic net-work. Val-ues: [\T1/qtm/m/it/10 datarobot.NETWORK_EG
RESS_POLICY.NONE\T1/qtm/m/n/10 ,
[343] [344] [345] [346] [347] [348] [349] [350] [351] [352]
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[]\T1/qtm/m/n/10 Trans-fer ac-cess to the ex-e-cu-tion en-vi-ron-ment from [][]
old_user@datarobot.com[][] to
[353] [354]
Underfull \hbox (badness 10000) in paragraph at lines 30046--30049
[]\T1/txtt/bx/n/10 build_status \T1/qtm/m/n/10 (\T1/txtt/m/n/10 Optional[str]\T
1/qtm/m/n/10 ) ^^U build sta-tus of

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

Underfull \hbox (badness 10000) in paragraph at lines 30046--30049
\T1/qtm/m/n/10 datarobot.enums.EXECUTION_ENVIRONMENT_VERSION_BUILD_STATUS
[355] [356] [357] [358]
Chapter 22.
[359]
Underfull \hbox (badness 10000) in paragraph at lines 30573--30576
[]\T1/txtt/bx/n/10 database_driver \T1/qtm/m/n/10 (\T1/txtt/m/n/10 str\T1/qtm/m
/n/10 ) ^^U Op-tional. Spec-ify when typ is \T1/qtm/m/it/10 DataDriver-
[360] [361] [362] [363]
Underfull \hbox (badness 10000) in paragraph at lines 31090--31092
[]\T1/txtt/bx/n/10 jdbc_url \T1/qtm/m/n/10 (\T1/txtt/m/n/10 str\T1/qtm/m/n/10 )
 ^^U Op-tional. The full JDBC URL (for ex-am-ple:
[364]
Underfull \hbox (badness 10000) in paragraph at lines 31158--31160
[]\T1/txtt/bx/n/10 jdbc_url \T1/qtm/m/n/10 (\T1/txtt/m/n/10 str\T1/qtm/m/n/10 )
 ^^U Op-tional. The full JDBC URL (for ex-am-ple:
[365] [366] [367] [368] [369] [370] [371] [372] [373] [374]
Chapter 23.
[375] [376]
Chapter 24.
[377] [378] [379] [380] [381] [382]
Underfull \hbox (badness 10000) in paragraph at lines 32744--32747
[] \T1/txtt/m/n/10 code[]block:\T1/qtm/m/n/10 : \T1/txtt/m/n/10 python \T1/qtm/
m/n/10 ^^U from datarobot.models.deployment

Underfull \hbox (badness 10000) in paragraph at lines 32744--32747
\T1/qtm/m/n/10 im-port Train-ing-Data-Ex-port dataset_id = Train-ing-Data-Ex-
[383] [384]
Chapter 25.
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\T1/qtm/m/n/10 GIVEN _ NAME / SCHEMA . TABLE _ NAME$[][]' - `[][]$jdbc : DATA _
 SOURCE _ GIVEN _
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Chapter 26.
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Chapter 27.
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Chapter 28.
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[]\T1/txtt/bx/n/10 fairness_metrics_set \T1/qtm/m/n/10 (\T1/txtt/m/n/10 Optiona
l[str]\T1/qtm/m/n/10 ) ^^U Can be one of
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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/txtt/bx/n/10 source \T1/qtm/m/n/10 (\T1/txtt/m/n/10 str\T1/qtm/m/n/10 ) ^
^U ROC curve data source. Check
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[]\T1/txtt/bx/n/10 source \T1/qtm/m/n/10 (\T1/txtt/m/n/10 str\T1/qtm/m/n/10 ) ^
^U ROC curve data source. Check
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\T1/txtt/bx/n/10 fairness_metrics_set \T1/qtm/m/n/10 (\T1/txtt/m/n/10 Optional[
str]\T1/qtm/m/n/10 ) ^^U Can be one of
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[]\T1/qtm/m/n/10 All du-ra-tions should be spec-i-fied with a du-ra-tion string
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[][]\T1/txtt/m/sl/10 partitioning_methods.construct_duration_string[][] \T1/qtm
/m/n/10 helper method. Please see [][]\T1/qtm/m/it/10 date-time
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[]\T1/txtt/bx/n/10 explanation_algorithm \T1/qtm/m/n/10 (\T1/txtt/m/n/10 (New i
n version v2.21) optional; If set \T1/qtm/m/n/10 to

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[]\T1/txtt/bx/n/10 max_explanations \T1/qtm/m/n/10 (\T1/txtt/m/n/10 (New in ver
sion v2.21) int optional; specifies the

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[]\T1/txtt/bx/n/10 source \T1/qtm/m/n/10 (\T1/txtt/m/n/10 str\T1/qtm/m/n/10 ) ^
^U Roc Curve data source. Check
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[]\T1/txtt/bx/n/10 scoring_type \T1/qtm/m/n/10 (\T1/txtt/m/n/10 Optional[str]\T
1/qtm/m/n/10 ) ^^U Ei-ther \T1/txtt/m/n/10 validation \T1/qtm/m/n/10 or \T1/txt
t/m/n/10 crossValidation
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[][]\T1/txtt/m/sl/10 partitioning_methods.construct_duration_string[][] \T1/qtm
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\T1/qtm/m/n/10 be used to train the model. If spec-i-fied, nei-ther \T1/txtt/m/
n/10 training_duration \T1/qtm/m/n/10 nor
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[]\T1/txtt/bx/n/10 source \T1/qtm/m/n/10 (\T1/txtt/m/n/10 str\T1/qtm/m/n/10 ) ^
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[]\T1/txtt/bx/n/10 fairness_metrics_set \T1/qtm/m/n/10 (\T1/txtt/m/n/10 Optiona
l[str]\T1/qtm/m/n/10 ) ^^U Can be one of
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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/txtt/bx/n/10 source \T1/qtm/m/n/10 (\T1/txtt/m/n/10 str\T1/qtm/m/n/10 ) ^
^U ROC curve data source. Check
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[]\T1/txtt/bx/n/10 source \T1/qtm/m/n/10 (\T1/txtt/m/n/10 str\T1/qtm/m/n/10 ) ^
^U ROC curve data source. Check
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\T1/txtt/bx/n/10 fairness_metrics_set \T1/qtm/m/n/10 (\T1/txtt/m/n/10 Optional[
str]\T1/qtm/m/n/10 ) ^^U Can be one of
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[]\T1/txtt/bx/n/10 explanation_algorithm \T1/qtm/m/n/10 (\T1/txtt/m/n/10 (New i
n version v2.21) optional; If set \T1/qtm/m/n/10 to

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[]\T1/txtt/bx/n/10 max_explanations \T1/qtm/m/n/10 (\T1/txtt/m/n/10 (New in ver
sion v2.21) int optional; specifies the
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[]\T1/txtt/bx/n/10 source \T1/qtm/m/n/10 (\T1/txtt/m/n/10 str\T1/qtm/m/n/10 ) ^
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[]\T1/txtt/bx/n/10 source \T1/qtm/m/n/10 (\T1/txtt/m/n/10 str\T1/qtm/m/n/10 ) ^
^U Roc Curve data source. Check
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[]\T1/txtt/bx/n/10 fairness_metrics_set \T1/qtm/m/n/10 (\T1/txtt/m/n/10 Optiona
l[str]\T1/qtm/m/n/10 ) ^^U Can be one of
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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/txtt/bx/n/10 source \T1/qtm/m/n/10 (\T1/txtt/m/n/10 str\T1/qtm/m/n/10 ) ^
^U ROC curve data source. Check
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^U ROC curve data source. Check
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\T1/txtt/bx/n/10 fairness_metrics_set \T1/qtm/m/n/10 (\T1/txtt/m/n/10 Optional[
str]\T1/qtm/m/n/10 ) ^^U Can be one of
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[]\T1/qtm/m/n/10 All du-ra-tions should be spec-i-fied with a du-ra-tion string
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[][]\T1/txtt/m/sl/10 partitioning_methods.construct_duration_string[][] \T1/qtm
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[]\T1/txtt/bx/n/10 explanation_algorithm \T1/qtm/m/n/10 (\T1/txtt/m/n/10 (New i
n version v2.21) optional; If set \T1/qtm/m/n/10 to

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sion v2.21) int optional; specifies the

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[]\T1/txtt/bx/n/10 source \T1/qtm/m/n/10 (\T1/txtt/m/n/10 str\T1/qtm/m/n/10 ) ^
^U Roc Curve data source. Check
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[]\T1/txtt/bx/n/10 scoring_type \T1/qtm/m/n/10 (\T1/txtt/m/n/10 Optional[str]\T
1/qtm/m/n/10 ) ^^U Ei-ther \T1/txtt/m/n/10 validation \T1/qtm/m/n/10 or \T1/txt
t/m/n/10 crossValidation
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[][]\T1/txtt/m/sl/10 partitioning_methods.construct_duration_string[][] \T1/qtm
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[]\T1/txtt/bx/n/10 sampling_method \T1/qtm/m/n/10 (\T1/txtt/m/n/10 str \T1/qtm/
m/n/10 or \T1/txtt/m/n/10 None\T1/qtm/m/n/10 ) ^^U (New in v2.23) in-di-cates t
he way train-ing
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[][]\T1/txtt/m/sl/10 partitioning_methods.construct_duration_string[][] \T1/qtm
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[519]
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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/txtt/bx/n/10 source \T1/qtm/m/n/10 (\T1/txtt/m/n/10 str\T1/qtm/m/n/10 ) ^
^U Con-fu-sion chart source. Check
[529]
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[]\T1/txtt/bx/n/10 fairness_metrics_set \T1/qtm/m/n/10 (\T1/txtt/m/n/10 Optiona
l[str]\T1/qtm/m/n/10 ) ^^U Can be one of
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[]\T1/txtt/bx/n/10 source \T1/qtm/m/n/10 (\T1/txtt/m/n/10 str\T1/qtm/m/n/10 ) ^
^U ROC curve data source. Check
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^U Resid-u-als chart data source. Check
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[][]\T1/txtt/m/sl/10 partitioning_methods.construct_duration_string[][] \T1/qtm
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[]\T1/txtt/bx/n/10 explanation_algorithm \T1/qtm/m/n/10 (\T1/txtt/m/n/10 (New i
n version v2.21) optional; If set \T1/qtm/m/n/10 to

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[]\T1/txtt/bx/n/10 max_explanations \T1/qtm/m/n/10 (\T1/txtt/m/n/10 (New in ver
sion v2.21) int optional; specifies the
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n/10 training_duration \T1/qtm/m/n/10 nor
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[]\T1/txtt/bx/n/10 fairness_metrics_set \T1/qtm/m/n/10 (\T1/txtt/m/n/10 Optiona
l[str]\T1/qtm/m/n/10 ) ^^U Can be one of
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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/txtt/bx/n/10 source \T1/qtm/m/n/10 (\T1/txtt/m/n/10 str\T1/qtm/m/n/10 ) ^
^U ROC curve data source. Check
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[]\T1/txtt/bx/n/10 source \T1/qtm/m/n/10 (\T1/txtt/m/n/10 str\T1/qtm/m/n/10 ) ^
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\T1/txtt/bx/n/10 fairness_metrics_set \T1/qtm/m/n/10 (\T1/txtt/m/n/10 Optional[
str]\T1/qtm/m/n/10 ) ^^U Can be one of
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[][]\T1/txtt/m/sl/10 partitioning_methods.construct_duration_string[][] \T1/qtm
/m/n/10 helper method. Please see [][]\T1/qtm/m/it/10 date-time
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[]\T1/txtt/bx/n/10 explanation_algorithm \T1/qtm/m/n/10 (\T1/txtt/m/n/10 (New i
n version v2.21) optional; If set \T1/qtm/m/n/10 to

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sion v2.21) int optional; specifies the

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[]\T1/txtt/bx/n/10 source \T1/qtm/m/n/10 (\T1/txtt/m/n/10 str\T1/qtm/m/n/10 ) ^
^U Roc Curve data source. Check
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[]\T1/txtt/bx/n/10 scoring_type \T1/qtm/m/n/10 (\T1/txtt/m/n/10 Optional[str]\T
1/qtm/m/n/10 ) ^^U Ei-ther \T1/txtt/m/n/10 validation \T1/qtm/m/n/10 or \T1/txt
t/m/n/10 crossValidation
[572]
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n/10 training_duration \T1/qtm/m/n/10 nor
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[]\T1/qtm/b/n/10 pa-ram-e-ters \T1/qtm/m/n/10 (\T1/txtt/m/n/10 dict\T1/qtm/m/n/
10 ) ^^U ^^PPa-ram-e-ters^^Q dic-tio-nary, same as spec-i-fied on
[579] [580] [581] [582] [583] [584] [585] [586] [587] [588] [589] [590]
[591] [592] [593] [594] [595] [596] [597]
Underfull \hbox (badness 10000) in paragraph at lines 58885--58887
[]\T1/txtt/bx/n/10 geospatial_monitoring \T1/qtm/m/n/10 (\T1/txtt/m/n/10 Option
al[ExternalGeospatialMonitoring]\T1/qtm/m/n/10 ) ^^U
[598] [599] [600] [601] [602]
Chapter 29.
[603] [604]
Chapter 30.

Underfull \hbox (badness 10000) in paragraph at lines 59353--59357
[]\T1/qtm/m/n/10 datarobot-key \T1/txtt/m/n/10 str \T1/qtm/m/n/10 Cor-re-sponds
 the to the \T1/txtt/m/n/10 PredictionServer \T1/qtm/m/n/10 ^^Psnake_cased^^Q
[605] [606] [607] [608] [609] [610] [611] [612] [613] [614] [615] [616]
[617] [618]
Underfull \hbox (badness 10000) in paragraph at lines 61017--61021
\T1/qtm/m/n/10 If pre-dic-tions data col-lec-tion is en-abled for this de-ploy-
ment.

Underfull \hbox (badness 10000) in paragraph at lines 61017--61021
\T1/qtm/m/n/10 To up-date ex-ist-ing `'pre-dic-tions_data_collection'' set-ting
s, see
(/usr/share/texlive/texmf-dist/tex/latex/fontawesome5/ufontawesomefree2.fd)
[619] [620] [621] [622] [623] [624] [625] [626] [627] [628] [629]
Underfull \hbox (badness 10000) in paragraph at lines 62340--62342
[]\T1/txtt/bx/n/10 share_recipient_type \T1/qtm/m/n/10 (\T1/txtt/m/n/10 enum(\T
S1/txtt/m/n/10 ``\T1/qtm/m/n/10 'user'\T1/txtt/m/n/10 , \TS1/txtt/m/n/10 ``'\T1
/txtt/m/n/10 group\TS1/txtt/m/n/10 '\T1/qtm/m/n/10 , \TS1/txtt/m/n/10 '\T1/txtt
/m/n/10 organization\TS1/txtt/m/n/10 '\T1/txtt/m/n/10 )\T1/qtm/m/n/10 ,

Underfull \hbox (badness 10000) in paragraph at lines 62375--62377
\T1/txtt/bx/n/10 roles \T1/qtm/m/n/10 (\T1/txtt/m/n/10 list(or(GrantAccessContr
olWithUsernameValidator\T1/qtm/m/n/10 ,

Underfull \hbox (badness 10000) in paragraph at lines 62375--62377
\T1/txtt/m/n/10 GrantAccessControlWithIdValidator\T1/qtm/m/n/10 , \T1/txtt/m/n/
10 SharingRole))\T1/qtm/m/n/10 ) ^^U Ar-ray of GrantAc-
[630] [631] [632] [633] [634] [635] [636] [637] [638] [639] [640] [641]
[642] [643] [644] [645] [646] [647]
Underfull \hbox (badness 10000) in paragraph at lines 64678--64682
[]\T1/txtt/bx/n/10 target_drift \T1/qtm/m/n/10 (\T1/txtt/m/n/10 Settings\T1/qtm
/m/n/10 ) ^^U If tar-get drift track-ing is en-abled for this

Underfull \hbox (badness 10000) in paragraph at lines 64678--64682
\T1/qtm/m/n/10 de-ploy-ment. To cre-ate or up-date ex-ist-ing \T1/txtt/m/n/10 t
arget_drift \T1/qtm/m/n/10 set-tings, see

Underfull \hbox (badness 10000) in paragraph at lines 64684--64688
[]\T1/txtt/bx/n/10 feature_drift \T1/qtm/m/n/10 (\T1/txtt/m/n/10 Settings\T1/qt
m/m/n/10 ) ^^U If fea-ture drift track-ing is en-abled for this

Underfull \hbox (badness 10000) in paragraph at lines 64684--64688
\T1/qtm/m/n/10 de-ploy-ment. To cre-ate or up-date ex-ist-ing \T1/txtt/m/n/10 f
eature_drift \T1/qtm/m/n/10 set-tings, see

Underfull \hbox (badness 10000) in paragraph at lines 64708--64712
[]\T1/txtt/bx/n/10 enabled \T1/qtm/m/n/10 (\T1/txtt/m/n/10 bool\T1/qtm/m/n/10 )
 ^^U If tar-get pre-dic-tion_warning is en-abled for this de-ploy-

Underfull \hbox (badness 10000) in paragraph at lines 64708--64712
\T1/qtm/m/n/10 ment. To cre-ate or up-date ex-ist-ing `'pre-dic-tion_warning'' 
set-tings, see
[648] [649] [650] [651]
Underfull \hbox (badness 10000) in paragraph at lines 65177--65179
[]\T1/txtt/bx/n/10 supported_model_formats \T1/qtm/m/n/10 (\T1/txtt/m/n/10 list
[PredictionEnvironmentModelFormats]\T1/qtm/m/n/10 , \T1/qtm/m/it/10 op-
[652] [653] [654]
Chapter 31.
[655] [656] [657] [658]
Chapter 32.
[659]
Underfull \hbox (badness 10000) in paragraph at lines 65998--66003
[]\T1/qtm/m/n/10 {`key':'DataRobot', `sum-mary':{`min':0, `max':29815.0, `std-D
ev':6498.029,
[660] [661] [662] [663]
Underfull \hbox (badness 10000) in paragraph at lines 66540--66545
[]\T1/qtm/m/n/10 {`key':'DataRobot', `sum-mary':{`min':0, `max':29815.0, `std-D
ev':6498.029,
[664] [665] [666]
Underfull \hbox (badness 5331) in paragraph at lines 66993--66995
[]\T1/txtt/bx/n/10 values \T1/qtm/m/n/10 (\T1/txtt/m/n/10 list(dict)\T1/qtm/m/n
/10 ) ^^U List of His-togram val-ues with a schema de-scribed as
[667] [668]
Underfull \hbox (badness 10000) in paragraph at lines 67234--67237
[]\T1/qtm/m/n/10 E.g. The prob-a-bil-ity P(A=0,B=1) can be re-trieved via:

Underfull \hbox (badness 10000) in paragraph at lines 67234--67237
\T1/txtt/m/n/10 pairwise_joint_probabilities.statistic_dataframes[(0,1)].loc[\T
S1/txtt/m/n/10 '\T1/txtt/m/n/10 A\TS1/txtt/m/n/10 '\T1/txtt/m/n/10 ,
[669]
Underfull \hbox (badness 10000) in paragraph at lines 67382--67385
[]\T1/qtm/m/n/10 E.g. The prob-a-bil-ity P(A=0|B=1) can be re-trieved via:

Underfull \hbox (badness 10000) in paragraph at lines 67382--67385
\T1/txtt/m/n/10 pairwise_conditional_probabilities.statistic_dataframes[(0,1)].

[670] [671] [672] [673] [674] [675] [676] [677]
Underfull \hbox (badness 5771) in paragraph at lines 68432--68436
\T1/qtm/m/n/10 tion win-dows set-tings. If present, time-aware joins will be us
ed. Only al-

Underfull \hbox (badness 10000) in paragraph at lines 68438--68442
[]\T1/txtt/bx/n/10 prediction_point_rounding \T1/qtm/m/n/10 (\T1/txtt/m/n/10 Op
tional[int]\T1/qtm/m/n/10 ) ^^U Clos-est value of pre-dic-

Underfull \hbox (badness 10000) in paragraph at lines 68464--68467
\T1/qtm/m/n/10 Time unit of the fea-ture deriva-tion win-dow. One of \T1/txtt/m
/n/10 datarobot.enums.
[678] [679] [680]
Underfull \hbox (badness 5771) in paragraph at lines 68713--68717
\T1/qtm/m/n/10 tion win-dows set-tings. If present, time-aware joins will be us
ed. Only al-

Underfull \hbox (badness 10000) in paragraph at lines 68719--68723
[]\T1/txtt/bx/n/10 prediction_point_rounding \T1/qtm/m/n/10 (\T1/txtt/m/n/10 in
t\T1/qtm/m/n/10 , or \T1/txtt/m/n/10 None\T1/qtm/m/n/10 ) ^^U Clos-est value of
 pre-dic-

Underfull \hbox (badness 10000) in paragraph at lines 68745--68748
\T1/qtm/m/n/10 Time unit of the fea-ture deriva-tion win-dow. One of \T1/txtt/m
/n/10 datarobot.enums.

Underfull \hbox (badness 10000) in paragraph at lines 68765--68767
[]\T1/txtt/bx/n/10 specifying \T1/qtm/m/n/10 (\T1/txtt/m/sl/10 To see the list 
of possible settings, create a
[681]
Underfull \hbox (badness 10000) in paragraph at lines 68794--68796
[]\T1/txtt/bx/n/10 dataset_definitions \T1/qtm/m/n/10 (\T1/txtt/m/n/10 list \T1
/qtm/m/n/10 of \T1/txtt/m/n/10 DatasetDefinition\T1/qtm/m/n/10 ) ^^U Each el-e-
ment is a

Underfull \hbox (badness 6641) in paragraph at lines 68802--68806
\T1/qtm/m/n/10 Each el-e-ment is a dic-tio-nary or a \T1/txtt/m/n/10 datarobot.
helpers.feature_discovery.
[682]
Underfull \hbox (badness 10000) in paragraph at lines 68909--68911
[]\T1/txtt/bx/n/10 dataset_definitions \T1/qtm/m/n/10 (\T1/txtt/m/n/10 List[Dat
asetDefinition]\T1/qtm/m/n/10 ) ^^U Each el-e-ment is a

Underfull \hbox (badness 6641) in paragraph at lines 68917--68921
\T1/qtm/m/n/10 Each el-e-ment is a dic-tio-nary or a \T1/txtt/m/n/10 datarobot.
helpers.feature_discovery.
[683] [684] [685] [686] [687] [688]
Overfull \vbox (2.05988pt too high) detected at line 69756
[689] [690] [691] [692] [693] [694]
Chapter 33.
[695] [696] [697] [698] [699] [700] [701] [702] [703] [704]
Chapter 34.
[705] [706] [707] [708] [709] [710] [711] [712] [713] [714] [715] [716]
[717] [718]
Chapter 35.
[719] [720] [721] [722] [723] [724]
Underfull \hbox (badness 10000) in paragraph at lines 73828--73830
[]\T1/txtt/bx/n/10 embedding_validation \T1/qtm/m/n/10 (\T1/txtt/m/n/10 Optiona
l[CustomModelEmbeddingValidation\T1/qtm/m/n/10 ,
[725] [726]
Chapter 36.
[727] [728] [729] [730] [731] [732] [733] [734] [735] [736] [737] [738]
[739] [740] [741] [742]
Underfull \hbox (badness 6592) in paragraph at lines 75998--76000
[]\T1/txtt/bx/n/10 prompt_moderation_configuration \T1/qtm/m/n/10 (\T1/txtt/m/n
/10 ModerationConfigurationWithoutID\T1/qtm/m/n/10 , \T1/qtm/m/it/10 op-
[743]
Underfull \hbox (badness 10000) in paragraph at lines 76116--76118
[]\T1/txtt/bx/n/10 response_moderation_configuration \T1/qtm/m/n/10 (\T1/txtt/m
/n/10 ModerationConfigurationWithoutID\T1/qtm/m/n/10 ,
[744] [745] [746]
Chapter 37.
[747]
Underfull \hbox (badness 10000) in paragraph at lines 76542--76544
[]\T1/txtt/bx/n/10 nemo_info \T1/qtm/m/n/10 (\T1/txtt/m/n/10 Optional\T1/qtm/m/
n/10 [[][]\T1/txtt/m/sl/10 GuardNemoInfo[][]\T1/qtm/m/n/10 ]) ^^U ad-di-tional 
con-fig-u-ra-tion for NeMo
[748]
Underfull \hbox (badness 10000) in paragraph at lines 76627--76629
[]\T1/txtt/bx/n/10 nemo_info \T1/qtm/m/n/10 (\T1/txtt/m/n/10 Optional\T1/qtm/m/
n/10 [[][]\T1/txtt/m/sl/10 GuardNemoInfo[][]\T1/qtm/m/n/10 ]) ^^U ad-di-tional 
con-fig-u-ra-tion for NeMo
[749] [750] [751] [752]
Underfull \hbox (badness 10000) in paragraph at lines 77399--77401
[]\T1/txtt/bx/n/10 nemo_info \T1/qtm/m/n/10 (\T1/txtt/m/n/10 Optional\T1/qtm/m/
n/10 [[][]\T1/txtt/m/sl/10 GuardNemoInfo[][]\T1/qtm/m/n/10 ]) ^^U ad-di-tional 
con-fig-u-ra-tion for NeMo
[753]
Underfull \hbox (badness 10000) in paragraph at lines 77477--77479
[]\T1/txtt/bx/n/10 nemo_info \T1/qtm/m/n/10 (\T1/txtt/m/n/10 Optional\T1/qtm/m/
n/10 [[][]\T1/txtt/m/sl/10 GuardNemoInfo[][]\T1/qtm/m/n/10 ]) ^^U ad-di-tional 
con-fig-u-ra-tion for NeMo
[754] [755] [756]
Chapter 38.
[757] [758] [759] [760] [761] [762] [763] [764] [765] [766] [767]
Underfull \hbox (badness 10000) in paragraph at lines 79287--79289
[]\T1/txtt/bx/n/10 status \T1/qtm/m/n/10 (\T1/txtt/m/n/10 str\T1/qtm/m/n/10 ) ^
^U The sta-tus of the in-sight. One of \T1/txtt/m/n/10 datarobot.enums.
[768] [769] [770] [771]
Underfull \hbox (badness 10000) in paragraph at lines 79967--79969
[]\T1/txtt/m/n/10 [ [ True Negative, False Positive ], [ False Negative, True P
ositive
[772] [773] [774] [775] [776] [777] [778]
Underfull \hbox (badness 10000) in paragraph at lines 80607--80610
[]\T1/txtt/bx/n/10 resolutions \T1/qtm/m/n/10 (\T1/txtt/m/n/10 list \T1/qtm/m/n
/10 of \T1/txtt/m/n/10 string\T1/qtm/m/n/10 ) ^^U A list of \T1/txtt/m/n/10 dat
arobot.enums.

Underfull \hbox (badness 6592) in paragraph at lines 80607--80610
\T1/txtt/m/n/10 DATETIME_TREND_PLOTS_RESOLUTION\T1/qtm/m/n/10 , which rep-re-se
nts avail-able time res-o-lu-tions

Underfull \hbox (badness 10000) in paragraph at lines 80641--80643
\T1/qtm/m/n/10 Sta-tus back-test/holdout train-ing. One of \T1/txtt/m/n/10 data
robot.enums.

Underfull \hbox (badness 10000) in paragraph at lines 80648--80650
\T1/qtm/m/n/10 Sta-tus back-test/holdout val-i-da-tion. One of \T1/txtt/m/n/10 
datarobot.enums.
[779] [780]
Underfull \hbox (badness 10000) in paragraph at lines 80938--80941
[]\T1/txtt/bx/n/10 resolutions \T1/qtm/m/n/10 (\T1/txtt/m/n/10 list \T1/qtm/m/n
/10 of \T1/txtt/m/n/10 string\T1/qtm/m/n/10 ) ^^U A list of \T1/txtt/m/n/10 dat
arobot.enums.

Underfull \hbox (badness 6592) in paragraph at lines 80938--80941
\T1/txtt/m/n/10 DATETIME_TREND_PLOTS_RESOLUTION\T1/qtm/m/n/10 , which rep-re-se
nts avail-able time res-o-lu-tions
[781] [782] [783]
Underfull \hbox (badness 10000) in paragraph at lines 81272--81275
[]\T1/txtt/bx/n/10 resolutions \T1/qtm/m/n/10 (\T1/txtt/m/n/10 list \T1/qtm/m/n
/10 of \T1/txtt/m/n/10 string\T1/qtm/m/n/10 ) ^^U A list of \T1/txtt/m/n/10 dat
arobot.enums.

Underfull \hbox (badness 6592) in paragraph at lines 81272--81275
\T1/txtt/m/n/10 DATETIME_TREND_PLOTS_RESOLUTION\T1/qtm/m/n/10 , which rep-re-se
nts avail-able time res-o-lu-tions

Underfull \hbox (badness 10000) in paragraph at lines 81306--81308
\T1/qtm/m/n/10 Sta-tus back-test/holdout train-ing. One of \T1/txtt/m/n/10 data
robot.enums.

Underfull \hbox (badness 10000) in paragraph at lines 81313--81315
\T1/qtm/m/n/10 Sta-tus back-test/holdout val-i-da-tion. One of \T1/txtt/m/n/10 
datarobot.enums.
[784] [785] [786] [787] [788] [789]
Underfull \hbox (badness 10000) in paragraph at lines 82072--82075
[]\T1/txtt/bx/n/10 metric \T1/qtm/m/n/10 (\T1/txtt/m/n/10 enums.FEATURE_ASSOCIA
TION_METRIC\T1/qtm/m/n/10 ) ^^U The name of a met-

Underfull \hbox (badness 5563) in paragraph at lines 82072--82075
\T1/qtm/m/n/10 ric to get pair-wise data for. Since `v2.19' this is op-tional a
nd de-faults to

Underfull \hbox (badness 10000) in paragraph at lines 82077--82080
[]\T1/txtt/bx/n/10 association_type \T1/qtm/m/n/10 (\T1/txtt/m/n/10 enums.FEATU
RE_ASSOCIATION_TYPE\T1/qtm/m/n/10 ) ^^U The type of

Underfull \hbox (badness 10000) in paragraph at lines 82077--82080
\T1/qtm/m/n/10 de-pen-dence for the data. Since `v2.19' this is op-tional and d
e-faults to
[790] [791] [792] [793] [794] [795] [796] [797] [798]
Underfull \hbox (badness 10000) in paragraph at lines 83194--83197
[]\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 83199--83202
[]\T1/qtm/m/n/10 Com-pute pre-dic-tions for the model and dataset via \T1/txtt/
m/n/10 datarobot.Model.

Underfull \hbox (badness 6708) in paragraph at lines 83272--83278
\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 83272--83278
\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 83288--83291
[]\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 83293--83296
[]\T1/qtm/m/n/10 Com-pute pre-dic-tions for the model and dataset via \T1/txtt/
m/n/10 datarobot.Model.
[799] [800] [801] [802] [803] [804] [805] [806] [807] [808] [809] [810]
Chapter 39.
[811] [812] [813] [814] [815] [816] [817] [818]
Chapter 40.
[819] [820] [821] [822]
Chapter 41.
[823] [824]
Chapter 42.
[825]
Underfull \hbox (badness 10000) in paragraph at lines 86598--86600
[]\T1/txtt/bx/n/10 catalog_version_id \T1/qtm/m/n/10 (\T1/txtt/m/n/10 str\T1/qt
m/m/n/10 ) ^^U (New in ver-sion v3.0) The ob-ject ID of the
[826] [827] [828] [829] [830] [831]
Underfull \hbox (badness 10000) in paragraph at lines 87232--87238
\T1/qtm/m/n/10 the [][]\T1/qtm/m/it/10 Par-ti-tion Classes[][] \T1/qtm/m/n/10 d
e-fined in \T1/txtt/m/n/10 datarobot.helpers.partitioning_methods\T1/qtm/m/n/10
 .

Underfull \hbox (badness 10000) in paragraph at lines 87232--87238
\T1/qtm/m/n/10 As an al-ter-na-tive, use [][]\T1/txtt/m/sl/10 Project.set_parti
tioning_method[][] \T1/qtm/m/n/10 or [][]\T1/txtt/m/sl/10 Project.

Underfull \hbox (badness 10000) in paragraph at lines 87316--87323
[]\T1/txtt/bx/n/10 bias_mitigation_technique \T1/qtm/m/n/10 (\T1/txtt/m/n/10 Op
tional[str]\T1/qtm/m/n/10 ) ^^U One of

Underfull \hbox (badness 10000) in paragraph at lines 87316--87323
\T1/qtm/m/n/10 datarobot.enums.BiasMitigationTechnique Op-tions: - `pre-pro-ces
s-in-gReweigh-ing' -

Underfull \hbox (badness 7944) in paragraph at lines 87316--87323
\T1/qtm/m/n/10 `post-Pro-cess-in-gRe-jec-tionOp-tion-Based-Clas-si-fi-ca-tion' 
The tech-nique by which we'll
[832]
Underfull \hbox (badness 10000) in paragraph at lines 87325--87329
[]\T1/txtt/bx/n/10 include_bias_mitigation_feature_as_predictor_variable
[833] [834]
Underfull \hbox (badness 10000) in paragraph at lines 87600--87606
\T1/qtm/m/n/10 the [][]\T1/qtm/m/it/10 Par-ti-tion Classes[][] \T1/qtm/m/n/10 d
e-fined in \T1/txtt/m/n/10 datarobot.helpers.partitioning_methods\T1/qtm/m/n/10
 .

Underfull \hbox (badness 10000) in paragraph at lines 87600--87606
\T1/qtm/m/n/10 As an al-ter-na-tive, use [][]\T1/txtt/m/sl/10 Project.set_parti
tioning_method[][] \T1/qtm/m/n/10 or [][]\T1/txtt/m/sl/10 Project.
[835] [836]
Underfull \hbox (badness 10000) in paragraph at lines 87802--87808
\T1/qtm/m/n/10 the [][]\T1/qtm/m/it/10 Par-ti-tion Classes[][] \T1/qtm/m/n/10 d
e-fined in \T1/txtt/m/n/10 datarobot.helpers.partitioning_methods\T1/qtm/m/n/10
 .

Underfull \hbox (badness 10000) in paragraph at lines 87802--87808
\T1/qtm/m/n/10 As an al-ter-na-tive, use [][]\T1/txtt/m/sl/10 Project.set_parti
tioning_method[][] \T1/qtm/m/n/10 or [][]\T1/txtt/m/sl/10 Project.

Underfull \hbox (badness 10000) in paragraph at lines 87848--87850
[]\T1/txtt/bx/n/10 class_mapping_aggregation_settings \T1/qtm/m/n/10 (\T1/txtt/
m/n/10 ClassMappingAggregationSettings\T1/qtm/m/n/10 ,
[837] [838] [839]
Underfull \hbox (badness 10000) in paragraph at lines 88092--88100
\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 88092--88100
\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 88092--88100
\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 88092--88100
\T1/qtm/m/it/10 has_empty_clusters\T1/qtm/m/n/10 , \T1/qtm/m/it/10 is_n_cluster
s_dynamically_determined\T1/qtm/m/n/10 , \T1/qtm/m/it/10 pre-dic-tion_threshold


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[840] [841] [842]
Underfull \hbox (badness 10000) in paragraph at lines 88450--88452
[]\T1/txtt/bx/n/10 credentials \T1/qtm/m/n/10 (\T1/txtt/m/n/10 Optional[List] a
 list \T1/qtm/m/n/10 of \T1/txtt/m/n/10 credentials for the datasets

Underfull \hbox (badness 7649) in paragraph at lines 88489--88492
[]\T1/txtt/bx/n/10 ValueError \T1/qtm/m/n/10 ^^U Raised if \T1/txtt/m/n/10 fore
cast_point \T1/qtm/m/n/10 or \T1/txtt/m/n/10 predictions_start_date \T1/qtm/m/n
/10 and
[843]
Underfull \hbox (badness 10000) in paragraph at lines 88544--88546
[]\T1/txtt/bx/n/10 credentials \T1/qtm/m/n/10 (\T1/txtt/m/n/10 Optional[List] a
 list \T1/qtm/m/n/10 of \T1/txtt/m/n/10 credentials for the datasets
[844]
Underfull \hbox (badness 10000) in paragraph at lines 88609--88615
[]\T1/txtt/bx/n/10 credential_data \T1/qtm/m/n/10 (\T1/txtt/m/n/10 BasicCredent
ialsDataDict | S3CredentialsDataDict |
[845] [846]
Overfull \hbox (0.89392pt too wide) in paragraph at lines 88875--88879
[]\T1/txtt/bx/n/10 credentials \T1/qtm/m/n/10 (\T1/txtt/m/n/10 list[BasicCreden
tialsDict | CredentialIdCredentialsDict]\T1/qtm/m/n/10 ,
[847] [848] [849] [850] [851]
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[852] [853] [854] [855]
Underfull \hbox (badness 10000) in paragraph at lines 89965--89974
[]\T1/txtt/bx/n/10 scoring_type \T1/qtm/m/n/10 (\T1/txtt/m/n/10 Optional[str]\T
1/qtm/m/n/10 ) ^^U Ei-ther \T1/txtt/m/n/10 validation \T1/qtm/m/n/10 or \T1/txt
t/m/n/10 crossValidation
[856]
Underfull \hbox (badness 10000) in paragraph at lines 90064--90069
[]\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 90064--90069
[][]\T1/txtt/m/sl/10 partitioning_methods.construct_duration_string[][] \T1/qtm
/m/n/10 helper method. Please see [][]\T1/qtm/m/it/10 date-time

Underfull \hbox (badness 7133) in paragraph at lines 90081--90084
\T1/qtm/m/n/10 be used to train the model. If spec-i-fied, nei-ther \T1/txtt/m/
n/10 training_duration \T1/qtm/m/n/10 nor
[857] [858]
Underfull \hbox (badness 10000) in paragraph at lines 90283--90288
\T1/txtt/bx/n/10 status \T1/qtm/m/n/10 (\T1/txtt/m/n/10 QUEUE_STATUS enum\T1/qt
m/m/n/10 , \T1/qtm/m/it/10 op-tional\T1/qtm/m/n/10 ) ^^U If called with
[859]
Underfull \hbox (badness 10000) in paragraph at lines 90461--90466
\T1/txtt/bx/n/10 status \T1/qtm/m/n/10 (\T1/txtt/m/n/10 QUEUE_STATUS enum\T1/qt
m/m/n/10 , \T1/qtm/m/it/10 op-tional\T1/qtm/m/n/10 ) ^^U If called with

Underfull \hbox (badness 5345) in paragraph at lines 90461--90466
\T1/qtm/m/n/10 QUEUE_STATUS.INPROGRESS, will re-turn the mod-el-ing jobs that a
re cur-rently

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\T1/txtt/bx/n/10 status \T1/qtm/m/n/10 (\T1/txtt/m/n/10 QUEUE_STATUS enum\T1/qt
m/m/n/10 , \T1/qtm/m/it/10 op-tional\T1/qtm/m/n/10 ) ^^U If called with
[860] [861] [862] [863]
Underfull \hbox (badness 10000) in paragraph at lines 90900--90906
[]\T1/txtt/bx/n/10 fairness_metrics_set \T1/qtm/m/n/10 (\T1/txtt/m/n/10 Optiona
l[str].\T1/qtm/m/n/10 ) ^^U (New in ver-sion v2.24) Met-

Underfull \hbox (badness 10000) in paragraph at lines 90900--90906
\T1/qtm/m/n/10 ric to use for cal-cu-lat-ing fair-ness. Can be one of \T1/txtt/
m/n/10 proportionalParity\T1/qtm/m/n/10 ,

Underfull \hbox (badness 10000) in paragraph at lines 90919--90926
[]\T1/txtt/bx/n/10 bias_mitigation_technique \T1/qtm/m/n/10 (\T1/txtt/m/n/10 Op
tional[str]\T1/qtm/m/n/10 ) ^^U One of

Underfull \hbox (badness 10000) in paragraph at lines 90919--90926
\T1/qtm/m/n/10 datarobot.enums.BiasMitigationTechnique Op-tions: - `pre-pro-ces
s-in-gReweigh-ing' -

Underfull \hbox (badness 7944) in paragraph at lines 90919--90926
\T1/qtm/m/n/10 `post-Pro-cess-in-gRe-jec-tionOp-tion-Based-Clas-si-fi-ca-tion' 
The tech-nique by which we'll
[864]
Underfull \hbox (badness 10000) in paragraph at lines 90928--90932
[]\T1/txtt/bx/n/10 include_bias_mitigation_feature_as_predictor_variable

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[]\T1/txtt/bx/n/10 number_of_incremental_learning_iterations_before_best_model_
selection
[865]
Underfull \hbox (badness 10000) in paragraph at lines 91085--91088
[]\T1/txtt/bx/n/10 partitioning_method \T1/qtm/m/n/10 (\T1/txtt/m/n/10 Partitio
ningMethod\T1/qtm/m/n/10 , \T1/qtm/m/it/10 op-tional\T1/qtm/m/n/10 ) ^^U An in-
stance of

Underfull \hbox (badness 10000) in paragraph at lines 91085--91088
\T1/txtt/m/n/10 datarobot.helpers.partitioning_methods.PartitioningMethod \T1/q
tm/m/n/10 that will
[866] [867] [868]
Underfull \hbox (badness 10000) in paragraph at lines 91379--91381
[]\T1/txtt/bx/n/10 ValueError \T1/qtm/m/n/10 ^^U If value of \T1/txtt/m/n/10 va
riable_type \T1/qtm/m/n/10 is not from \T1/txtt/m/n/10 datarobot.enums.
[869] [870] [871]
Underfull \hbox (badness 10000) in paragraph at lines 91880--91887
[]\T1/txtt/bx/n/10 bias_mitigation_technique \T1/qtm/m/n/10 (\T1/txtt/m/n/10 Op
tional[str]\T1/qtm/m/n/10 ) ^^U One of

Underfull \hbox (badness 10000) in paragraph at lines 91880--91887
\T1/qtm/m/n/10 datarobot.enums.BiasMitigationTechnique Op-tions: - `pre-pro-ces
s-in-gReweigh-ing' -

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\T1/qtm/m/n/10 `post-Pro-cess-in-gRe-jec-tionOp-tion-Based-Clas-si-fi-ca-tion' 
The tech-nique by which we'll
[872] [873]
Underfull \hbox (badness 10000) in paragraph at lines 92088--92094
[]\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

Underfull \hbox (badness 10000) in paragraph at lines 92099--92104
\T1/txtt/bx/n/10 datetime_partition_spec \T1/qtm/m/n/10 ([][]\T1/txtt/m/sl/10 D
atetimePartitioningSpecification[][]\T1/qtm/m/n/10 ) ^^U
[874] [875]
Underfull \hbox (badness 6364) in paragraph at lines 92303--92306
[]\T1/txtt/bx/n/10 consider_blenders_in_recommendation \T1/qtm/m/n/10 (\T1/txtt
/m/n/10 Optional[bool]\T1/qtm/m/n/10 ) ^^U (New in ver-sion
[876]
Underfull \hbox (badness 10000) in paragraph at lines 92374--92380
[]\T1/txtt/bx/n/10 fairness_metrics_set \T1/qtm/m/n/10 (\T1/txtt/m/n/10 Optiona
l[str].\T1/qtm/m/n/10 ) ^^U (New in ver-sion v2.24) Met-

Underfull \hbox (badness 10000) in paragraph at lines 92374--92380
\T1/qtm/m/n/10 ric to use for cal-cu-lat-ing fair-ness. Can be one of \T1/txtt/
m/n/10 proportionalParity\T1/qtm/m/n/10 ,

Underfull \hbox (badness 10000) in paragraph at lines 92393--92400
[]\T1/txtt/bx/n/10 bias_mitigation_technique \T1/qtm/m/n/10 (\T1/txtt/m/n/10 Op
tional[str]\T1/qtm/m/n/10 ) ^^U One of

Underfull \hbox (badness 10000) in paragraph at lines 92393--92400
\T1/qtm/m/n/10 datarobot.enums.BiasMitigationTechnique Op-tions: - `pre-pro-ces
s-in-gReweigh-ing' -

Underfull \hbox (badness 6741) in paragraph at lines 92408--92410
[]\T1/txtt/bx/n/10 default_monotonic_increasing_featurelist_id \T1/qtm/m/n/10 (
\T1/txtt/m/n/10 Optional[str]\T1/qtm/m/n/10 ) ^^U Re-turned

Underfull \hbox (badness 6741) in paragraph at lines 92412--92414
[]\T1/txtt/bx/n/10 default_monotonic_decreasing_featurelist_id \T1/qtm/m/n/10 (
\T1/txtt/m/n/10 Optional[str]\T1/qtm/m/n/10 ) ^^U Re-turned
[877]
Underfull \hbox (badness 10000) in paragraph at lines 92457--92461
[]\T1/txtt/bx/n/10 number_of_incremental_learning_iterations_before_best_model_
selection
[878] [879]
Underfull \hbox (badness 10000) in paragraph at lines 92841--92844
[]\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 92851--92854
[]\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 92862--92865
[]\T1/txtt/bx/n/10 autopilot_data_selection_method \T1/qtm/m/n/10 (\T1/txtt/m/n
/10 str\T1/qtm/m/n/10 ) ^^U one of \T1/txtt/m/n/10 datarobot.enums.

Underfull \hbox (badness 7133) in paragraph at lines 92862--92865
\T1/txtt/m/n/10 DATETIME_AUTOPILOT_DATA_SELECTION_METHOD\T1/qtm/m/n/10 . Whethe
r mod-els cre-ated by the
[880] [881]
Underfull \hbox (badness 6927) in paragraph at lines 92979--92982
[]\T1/txtt/bx/n/10 periodicities \T1/qtm/m/n/10 (\T1/txtt/m/n/10 list \T1/qtm/m
/n/10 of [][]\T1/txtt/m/sl/10 Periodicity[][]\T1/qtm/m/n/10 , \T1/qtm/m/it/10 o
p-tional\T1/qtm/m/n/10 ) ^^U (New in ver-sion v2.9) a
[882]
Underfull \hbox (badness 10000) in paragraph at lines 93153--93158
[]\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 ,

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[883]
Underfull \hbox (badness 10000) in paragraph at lines 93295--93297
[]\T1/txtt/bx/n/10 time_unit \T1/qtm/m/n/10 (\T1/txtt/m/n/10 string\T1/qtm/m/n/
10 ) ^^U Time step unit, valid op-tions are val-ues from
[884]
Underfull \hbox (badness 10000) in paragraph at lines 93374--93377
[]\T1/txtt/bx/n/10 autopilot_data_selection_method \T1/qtm/m/n/10 (\T1/txtt/m/n
/10 str\T1/qtm/m/n/10 ) ^^U one of \T1/txtt/m/n/10 datarobot.enums.

Underfull \hbox (badness 7133) in paragraph at lines 93374--93377
\T1/txtt/m/n/10 DATETIME_AUTOPILOT_DATA_SELECTION_METHOD\T1/qtm/m/n/10 . Whethe
r mod-els cre-ated by the
[885] [886]
Underfull \hbox (badness 6927) in paragraph at lines 93547--93550
[]\T1/txtt/bx/n/10 periodicities \T1/qtm/m/n/10 (\T1/txtt/m/n/10 list \T1/qtm/m
/n/10 of [][]\T1/txtt/m/sl/10 Periodicity[][]\T1/qtm/m/n/10 , \T1/qtm/m/it/10 o
p-tional\T1/qtm/m/n/10 ) ^^U (New in ver-sion v2.9) a
[887] [888] [889] [890] [891]
Underfull \hbox (badness 10000) in paragraph at lines 94190--94193
[]\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 94190--94193
\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.
[892] [893]
Underfull \hbox (badness 5741) in paragraph at lines 94409--94417
\T1/qtm/m/n/10 and \T1/txtt/m/n/10 validation_duration\T1/qtm/m/n/10 ). If \T1/
txtt/m/n/10 True\T1/qtm/m/n/10 , will use a start/end date ap-proach for
[894] [895] [896] [897] [898] [899] [900] [901] [902]
Underfull \hbox (badness 10000) in paragraph at lines 95658--95660
[]\T1/txtt/bx/n/10 backtests \T1/qtm/m/n/10 (\T1/txtt/m/n/10 list \T1/qtm/m/n/1
0 of \T1/txtt/m/n/10 dicts containing validation_start_date \T1/qtm/m/n/10 and
[903] [904] [905] [906] [907] [908] [909] [910]
Chapter 43.
[911]
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[912]
Underfull \hbox (badness 10000) in paragraph at lines 96659--96663
[]\T1/txtt/bx/n/10 shap_warnings \T1/qtm/m/n/10 ([][]\T1/txtt/m/sl/10 list[][]\
T1/qtm/m/n/10 ) ^^U (New in ver-sion v2.21) Will

Underfull \hbox (badness 10000) in paragraph at lines 96659--96663
\T1/qtm/m/n/10 be present if \T1/txtt/m/n/10 explanation_algorithm \T1/qtm/m/n/
10 was set to
[913] [914] [915] [916]
Chapter 44.
[917] [918] [919] [920] [921] [922] [923] [924]
Chapter 45.
[925] [926] [927] [928] [929] [930] [931] [932] [933] [934] [935] [936]
[937] [938] [939] [940] [941] [942] [943] [944] [945] [946] [947] [948]
[949] [950] [951] [952]
Underfull \hbox (badness 10000) in paragraph at lines 101644--101646
[]\T1/txtt/bx/n/10 datasource_info \T1/qtm/m/n/10 (\T1/txtt/m/n/10 Union[Dataso
urceDataWarehouseInfo\T1/qtm/m/n/10 ,
[953] [954] [955] [956]
Chapter 46.
[957] [958]
Chapter 47.

Overfull \hbox (1.74904pt too wide) in paragraph at lines 102284--102286
[]\T1/qtm/m/n/10 Added op-tional pa-ram-e-ter \T1/txtt/m/n/10 chunk_definition_
id \T1/qtm/m/n/10 in [][]\T1/txtt/m/sl/10 Model.start_incremental_learning_from
_sample[][]
[959]
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[]\T1/qtm/m/n/10 Fixed [][]\T1/txtt/m/sl/10 PlaygroundOOTBMetricConfiguration.c
reate[][] \T1/qtm/m/n/10 by us-ing the right pay-load for
[960]
Underfull \hbox (badness 10000) in paragraph at lines 102557--102559
[]\T1/qtm/m/n/10 Added new at-tributes \T1/txtt/m/n/10 prediction_point\T1/qtm/
m/n/10 , \T1/txtt/m/n/10 relationships_configuration_id \T1/qtm/m/n/10 and
[961]
Underfull \hbox (badness 10000) in paragraph at lines 102605--102607
[]\T1/qtm/m/n/10 Ex-tended the ad-vanced op-tions avail-able when set-ting a ta
r-get to in-clude pa-ram-e-ter: `fea-

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[]\T1/qtm/m/n/10 Added \T1/txtt/m/n/10 NonChatAwareCustomModelValidation \T1/qt
m/m/n/10 as the base class for

Underfull \hbox (badness 8151) in paragraph at lines 102617--102620
[][]\T1/txtt/m/sl/10 CustomModelVectorDatabaseValidation[][] \T1/qtm/m/n/10 and
 \T1/txtt/m/n/10 CustomModelEmbeddingValidation\T1/qtm/m/n/10 . In con-trast,

Underfull \hbox (badness 10000) in paragraph at lines 102622--102624
[]\T1/qtm/m/n/10 Added op-tional pa-ram-e-ter \T1/txtt/m/n/10 chat_model_id \T1
/qtm/m/n/10 to [][]\T1/txtt/m/sl/10 CustomModelLLMValidation.create[][] \T1/qtm
/m/n/10 and
[962]
Underfull \hbox (badness 10000) in paragraph at lines 102692--102694
[]\T1/qtm/m/n/10 Fixed a Use Case query pa-ram-e-ter name in \T1/txtt/m/n/10 Cu
stomModelLLMValidation.list\T1/qtm/m/n/10 ,

Underfull \hbox (badness 10000) in paragraph at lines 102705--102707
[]\T1/qtm/m/n/10 Method [][]\T1/txtt/m/sl/10 CustomModelLLMValidation.create[][
] \T1/qtm/m/n/10 no longer re-quires the \T1/txtt/m/n/10 prompt_column_name \T1
/qtm/m/n/10 and
[963] [964] [965]
Underfull \hbox (badness 10000) in paragraph at lines 103071--103075
[]\T1/qtm/m/n/10 Add new at-tributes to [][]\T1/txtt/m/sl/10 VectorDatabase[][]
\T1/qtm/m/n/10 : \T1/txtt/m/n/10 parent_id\T1/qtm/m/n/10 , \T1/txtt/m/n/10 fami
ly_id\T1/qtm/m/n/10 , \T1/txtt/m/n/10 metadata_columns\T1/qtm/m/n/10 ,

Underfull \hbox (badness 10000) in paragraph at lines 103071--103075
\T1/txtt/m/n/10 added_dataset_ids\T1/qtm/m/n/10 , \T1/txtt/m/n/10 added_dataset
_names\T1/qtm/m/n/10 , and\TS1/qtm/m/n/10 `\T1/qtm/m/n/10 version\TS1/qtm/m/n/1
0 `\T1/qtm/m/n/10 . [][]\T1/txtt/m/sl/10 VectorDatabase.

Underfull \hbox (badness 5578) in paragraph at lines 103071--103075
\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.

Underfull \hbox (badness 10000) in paragraph at lines 103120--103122
[]\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
[966]
Underfull \hbox (badness 10000) in paragraph at lines 103198--103200
[]\T1/qtm/m/n/10 Added the pa-ram-e-ter \T1/txtt/m/n/10 base_path \T1/qtm/m/n/1
0 to [][]\T1/txtt/m/sl/10 get_encoded_file_contents_from_paths[][] \T1/qtm/m/n/
10 and

Underfull \hbox (badness 10000) in paragraph at lines 103207--103214
[]\T1/qtm/m/n/10 Fixed field in [][]\T1/txtt/m/sl/10 CustomTaskVersion[][] \T1/
qtm/m/n/10 for con-trol-ling net-work poli-cies. This is changed from

Underfull \hbox (badness 10000) in paragraph at lines 103234--103236
[]\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.
[967]
Underfull \hbox (badness 10000) in paragraph at lines 103254--103256
[]\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.

Overfull \hbox (27.38004pt too wide) in paragraph at lines 103316--103318
[]\T1/qtm/m/n/10 Up-dated the de-scrip-tion for the pa-ram-e-ter: `num-ber_of_i
ncremental_learning_iterations_before_best_model_selection'

Underfull \hbox (badness 10000) in paragraph at lines 103333--103343
\T1/qtm/m/n/10 -\T1/txtt/m/n/10 DatasetInfo \T1/qtm/m/n/10 -\T1/txtt/m/n/10 Dyn
amicDatasetProps \T1/qtm/m/n/10 -\T1/txtt/m/n/10 RowsChunkDefinition \T1/qtm/m/
n/10 -\T1/txtt/m/n/10 FeaturesChunkDefinition \T1/qtm/m/n/10 -

Overfull \hbox (74.87483pt too wide) in paragraph at lines 103345--103347
[]\T1/qtm/m/n/10 Added new method \T1/txtt/m/n/10 update \T1/qtm/m/n/10 to {cla
ss}\TS1/qtm/m/n/10 `\T1/qtm/m/n/10 ChunkDefinition <datarobot._experimental.mod
els.chunking_service_v2.ChunkDefinition> 

Underfull \hbox (badness 10000) in paragraph at lines 103353--103356
[]\T1/txtt/m/n/10 datarobot._experimental.models.time_series_wrangling_template
.user_flow_template
[968]
Underfull \hbox (badness 10000) in paragraph at lines 103392--103396
[]\T1/qtm/m/n/10 Added a new class [][]\T1/txtt/m/sl/10 HostedCustomMetricTempl
ate[][] \T1/qtm/m/n/10 for hosted cus-tom met-rics tem-

Underfull \hbox (badness 10000) in paragraph at lines 103392--103396
\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.

Underfull \hbox (badness 10000) in paragraph at lines 103414--103418
[][]\T1/txtt/m/sl/10 HostedCustomMetricBlueprint.get[][] \T1/qtm/m/n/10 to get 
a hosted cus-tom met-ric blueprint.

Underfull \hbox (badness 10000) in paragraph at lines 103414--103418
[][]\T1/txtt/m/sl/10 HostedCustomMetricBlueprint.create[][] \T1/qtm/m/n/10 to c
re-ate a hosted cus-tom met-ric blueprint.

Underfull \hbox (badness 10000) in paragraph at lines 103439--103446
[]\T1/qtm/m/n/10 Added a new class \T1/txtt/m/n/10 EvaluationDatasetConfigurati
on <datarobot._experimental.models.

Underfull \hbox (badness 10000) in paragraph at lines 103439--103446
\T1/txtt/m/n/10 genai.evaluation_dataset_configuration.EvaluationDatasetConfigu
ration> \T1/qtm/m/n/10 for con-fig-u-ra-

Underfull \hbox (badness 10000) in paragraph at lines 103439--103446
\T1/txtt/m/n/10 models.genai.evaluation_dataset_configuration.EvaluationDataset
Configuration.

Underfull \hbox (badness 10000) in paragraph at lines 103439--103446
\T1/txtt/m/n/10 get> \T1/qtm/m/n/10 to get an eval-u-a-tion dataset con-fig-u-r
a-tion. \T1/txtt/m/n/10 EvaluationDatasetConfiguration.

Underfull \hbox (badness 10000) in paragraph at lines 103439--103446
\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.

Underfull \hbox (badness 10000) in paragraph at lines 103439--103446
\T1/txtt/m/n/10 create> \T1/qtm/m/n/10 to cre-ate an eval-u-a-tion dataset con-
fig-u-ra-tion. \T1/txtt/m/n/10 EvaluationDatasetConfiguration.

Underfull \hbox (badness 10000) in paragraph at lines 103439--103446
\T1/txtt/m/n/10 update <datarobot._experimental.models.genai.evaluation_dataset
_configuration.

Underfull \hbox (badness 10000) in paragraph at lines 103439--103446
\T1/txtt/m/n/10 EvaluationDatasetConfiguration.update> \T1/qtm/m/n/10 to up-dat
e an eval-u-a-tion dataset con-fig-u-ra-tion.

Underfull \hbox (badness 10000) in paragraph at lines 103439--103446
\T1/txtt/m/n/10 EvaluationDatasetConfiguration.delete <datarobot._experimental.
models.genai.

Underfull \hbox (badness 10000) in paragraph at lines 103439--103446
\T1/txtt/m/n/10 evaluation_dataset_configuration.EvaluationDatasetConfiguration
.delete> \T1/qtm/m/n/10 to delete an

Underfull \hbox (badness 10000) in paragraph at lines 103448--103453
\T1/txtt/m/n/10 genai.evaluation_dataset_metric_aggregation.EvaluationDatasetMe
tricAggregation>

Underfull \hbox (badness 10000) in paragraph at lines 103448--103453
\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 103448--103453
\T1/txtt/m/n/10 <datarobot._experimental.models.genai.evaluation_dataset_metric
_aggregation.

Underfull \hbox (badness 10000) in paragraph at lines 103448--103453
\T1/txtt/m/n/10 EvaluationDatasetMetricAggregation.list> \T1/qtm/m/n/10 to get 
the met-ric ag-gre-ga-tion re-sults.

Underfull \hbox (badness 10000) in paragraph at lines 103448--103453
\T1/txtt/m/n/10 EvaluationDatasetMetricAggregation.create <datarobot._experimen
tal.models.

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

Underfull \hbox (badness 5345) in paragraph at lines 103448--103453
\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 103448--103453
\T1/txtt/m/n/10 <datarobot._experimental.models.genai.evaluation_dataset_metric
_aggregation.
[969]
Underfull \hbox (badness 10000) in paragraph at lines 103455--103458
[]\T1/qtm/m/n/10 Added a new class \T1/txtt/m/n/10 SyntheticEvaluationDataset <
datarobot._experimental.models.genai.

Underfull \hbox (badness 10000) in paragraph at lines 103460--103468
[]\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 103460--103468
\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 103460--103468
\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 103460--103468
\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 103460--103468
\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 103460--103468
\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 103460--103468
\T1/qtm/m/n/10 tion. \T1/txtt/m/n/10 SidecarModelMetricValidation.revalidate <d
atarobot._experimental.models.genai.
[970]
Underfull \hbox (badness 10000) in paragraph at lines 103557--103559
[]\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
[971]
Underfull \hbox (badness 10000) in paragraph at lines 103655--103659
[]\T1/qtm/m/n/10 Ex-tended the ad-vanced op-tions avail-able when set-ting a ta
r-get to in-clude new pa-ram-e-ter:
[972]
Underfull \hbox (badness 10000) in paragraph at lines 103735--103737
[][][]\T1/txtt/m/sl/10 RuntimeParameterValue[][] \T1/qtm/m/n/10 to de-fine run-
time pa-ram-e-ter over-ride value, to be as-signed to

Underfull \hbox (badness 10000) in paragraph at lines 103812--103815
[]\T1/qtm/m/n/10 Added new pa-ram-e-ter \T1/txtt/m/n/10 prediction_threshold \T
1/qtm/m/n/10 to [][]\T1/txtt/m/sl/10 BatchPredictionJob.

Underfull \hbox (badness 7344) in paragraph at lines 103812--103815
\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
[973]
Underfull \hbox (badness 10000) in paragraph at lines 103873--103875
[]\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.
[974]
Underfull \hbox (badness 10000) in paragraph at lines 103950--103952
[]\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 103954--103958
[]\T1/qtm/m/n/10 Added a new class \T1/txtt/m/n/10 PromptTrace <datarobot._expe
rimental.models.genai.prompt_trace.

Underfull \hbox (badness 10000) in paragraph at lines 103954--103958
\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 103954--103958
\T1/txtt/m/n/10 _experimental.models.genai.prompt_trace.PromptTrace.export_to_a
i_catalog> \T1/qtm/m/n/10 to ex-port

Underfull \hbox (badness 10000) in paragraph at lines 103960--103963
[]\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 103965--103969
\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 103965--103969
\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 103971--103977
\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 103971--103977
\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 103971--103977
\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 103971--103977
\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 103971--103977
\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 103979--103981
[]\T1/qtm/m/n/10 Added a new class \T1/txtt/m/n/10 LLMCostConfiguration <dataro
bot._experimental.models.genai.
[975] [976]
Underfull \hbox (badness 10000) in paragraph at lines 104137--104139
[]\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 104141--104143
[]\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 104175--104177
[]\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 104175--104177
\T1/txtt/m/n/10 _experimental.models.genai.comparison_prompt.ComparisonPrompt.u
pdate>\T1/qtm/m/n/10 , to up-date a
[977]
Underfull \hbox (badness 10000) in paragraph at lines 104243--104245
[]\T1/qtm/m/n/10 Added new meth-ods to the class \T1/txtt/m/n/10 Notebook \T1/q
tm/m/n/10 which in-cludes \T1/txtt/m/n/10 Notebook.run \T1/qtm/m/n/10 and \T1/t
xtt/m/n/10 Notebook.
[978]
Underfull \hbox (badness 10000) in paragraph at lines 104330--104336
\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 104330--104336
[][]\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 104330--104336
\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 104330--104336
\T1/qtm/m/n/10 ate a new reg-is-tered model ver-sion from a Leader-board model.
 [][]\T1/txtt/m/sl/10 RegisteredModelVersion.

Underfull \hbox (badness 10000) in paragraph at lines 104373--104375
[]\T1/qtm/m/n/10 Added method meth:\T1/txtt/m/n/10 Deployment.get_predictions_v
s_actuals_over_time <datarobot.models.
[979]
Underfull \hbox (badness 10000) in paragraph at lines 104408--104410
\T1/qtm/m/n/10 All in-ter-ac-tions with \T1/txtt/m/n/10 Project.advanced_option
s \T1/qtm/m/n/10 should be ex-pected to be through the
[980]
Underfull \hbox (badness 10000) in paragraph at lines 104513--104519
\T1/txtt/m/sl/10 run[][] [][]BatchMonitoringJob.get_status[][] [][]BatchMonitor
ingJob.cancel[][] [][]BatchMonitoringJob.

Underfull \hbox (badness 10000) in paragraph at lines 104579--104588
\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 104579--104588
\T1/txtt/m/sl/10 get[][] [][]BatchMonitoringJobDefinition.create[][] [][]BatchM
onitoringJobDefinition.update[][]

Underfull \hbox (badness 10000) in paragraph at lines 104579--104588
[][]\T1/txtt/m/sl/10 BatchMonitoringJobDefinition.delete[][] [][]BatchMonitorin
gJobDefinition.run_on_schedule[][]

Underfull \hbox (badness 10000) in paragraph at lines 104601--104614
\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 104601--104614
[][]\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 104601--104614
\T1/txtt/m/sl/10 create_from_dataset[][] [][]Project.create_segmented_project_f
rom_clustering_model[][] [][]Project.
[981]
Underfull \hbox (badness 10000) in paragraph at lines 104642--104644
[]\T1/qtm/m/n/10 If the user con-fig-ures the client via \T1/txtt/m/n/10 Client
(...)\T1/qtm/m/n/10 , then in-voke \T1/txtt/m/n/10 Client(...,

Underfull \hbox (badness 10000) in paragraph at lines 104646--104648
[]\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 104650--104652
[]\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 104659--104661
[]\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 104701--104716
\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 104701--104716
[][]\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 104701--104716
[][]\T1/txtt/m/sl/10 Model.request_lift_chart[][] [][]Model.request_residuals_c
hart[][] [][]Model.get_roc_curve[][] [][]Model.
[982]
Underfull \hbox (badness 10000) in paragraph at lines 104746--104748
[]\T1/qtm/m/n/10 Added new method for re-triev-ing all avail-able fea-ture im-p
acts for the model [][]\T1/txtt/m/sl/10 Model.

Underfull \hbox (badness 10000) in paragraph at lines 104770--104772
\T1/txtt/m/sl/10 PredictionExplanations.get_all_as_dataframe()[][] \T1/qtm/m/n/
10 and [][]\T1/txtt/m/sl/10 datarobot.PredictionExplanations.
[983]
Underfull \hbox (badness 10000) in paragraph at lines 104898--104901
[]\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 104908--104911
[]\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 104923--104926
[]\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 104928--104931
[]\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 104938--104941
[]\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.
[984] [985]
Underfull \hbox (badness 10000) in paragraph at lines 105080--105084
[]\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 105080--105084
[][]\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

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[]\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 105086--105091
[][]\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 105117--105121
[]\T1/qtm/m/n/10 Added two new meth-ods to the Im-ageAug-men-ta-tion-List class
: \T1/txtt/m/n/10 ImageAugmentationList.list\T1/qtm/m/n/10 ,
[986]
Underfull \hbox (badness 10000) in paragraph at lines 105188--105190
[]\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
[987] [988]
Underfull \hbox (badness 10000) in paragraph at lines 105457--105460
[]\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 105462--105464
[]\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.
[989]
Underfull \hbox (badness 10000) in paragraph at lines 105545--105547
[][][]\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 105549--105551
[][][]\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 105581--105583
[]\T1/qtm/m/n/10 The [][]\T1/txtt/m/sl/10 Deployment[][] \T1/qtm/m/n/10 method 
\T1/txtt/m/n/10 create_from_custom_model_image \T1/qtm/m/n/10 was re-moved. Use
 [][]\T1/txtt/m/sl/10 Deployment.

Underfull \hbox (badness 10000) in paragraph at lines 105633--105638
[]\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 105633--105638
\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 -
[990]
Underfull \hbox (badness 10000) in paragraph at lines 105675--105682
[]\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 105675--105682
[][]\T1/txtt/m/sl/10 PredictionExplanations.create[][]\T1/qtm/m/n/10 ) as well 
as batch scor-ing (\T1/txtt/m/n/10 explanations_mode \T1/qtm/m/n/10 in

Underfull \hbox (badness 10000) in paragraph at lines 105726--105739
\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 105726--105739
\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 105726--105739
\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 105726--105739
\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 105726--105739
\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.
[991]
Underfull \hbox (badness 10000) in paragraph at lines 105852--105854
[]\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 105870--105873
[]\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
[992] [993]
Underfull \hbox (badness 10000) in paragraph at lines 106096--106098
[]\T1/txtt/m/n/10 DatetimeModel.get_feature_fit <datarobot.models.DatetimeModel
.

Underfull \hbox (badness 10000) in paragraph at lines 106122--106125
[]\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 ,
[994]
Underfull \hbox (badness 6268) in paragraph at lines 106223--106226
[]\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 106258--106262
[]\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
[995]
Underfull \hbox (badness 10000) in paragraph at lines 106268--106276
[]\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 106268--106276
\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 106268--106276
\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 106268--106276
\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 106268--106276
\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 106268--106276
[][]\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.
[996]
Underfull \hbox (badness 10000) in paragraph at lines 106418--106421
[]\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 106494--106497
[]\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.
[997] [998]
Underfull \hbox (badness 10000) in paragraph at lines 106735--106738
[]\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 106740--106743
[]\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.
[999]
Underfull \hbox (badness 7907) in paragraph at lines 106911--106916
[]\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:
[1000]
Underfull \hbox (badness 10000) in paragraph at lines 106953--106956
[]\T1/qtm/m/n/10 Added method to down-load fea-ture dis-cov-ery recipe SQLs (li
m-ited beta fea-ture). [][]\T1/txtt/m/sl/10 Project.

Underfull \hbox (badness 10000) in paragraph at lines 107029--107034
[]\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 107029--107034
\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.
[1001]
Underfull \hbox (badness 10000) in paragraph at lines 107054--107062
[][]\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 107054--107062
\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 107130--107133
[]\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 107135--107141
[]\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 107135--107141
\T1/txtt/m/sl/10 FeatureAssociationMatrixDetails[][] \T1/qtm/m/n/10 and [][]\T1
/txtt/m/sl/10 datarobot.models.FeatureAssociationFeaturelists[][]
[1002]
Underfull \hbox (badness 10000) in paragraph at lines 107165--107172
[]\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 107165--107172
\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 ,
[1003]
Underfull \hbox (badness 8170) in paragraph at lines 107301--107304
[]\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 107306--107309
\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
[1004]
Underfull \hbox (badness 10000) in paragraph at lines 107389--107394
[]\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 107414--107416
[]\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 107493--107497
[]\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
[1005]
Underfull \hbox (badness 10000) in paragraph at lines 107536--107539
[]\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:
[1006]
Underfull \hbox (badness 10000) in paragraph at lines 107679--107688
[]\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 107690--107697
[]\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.
[1007] [1008]
Underfull \hbox (badness 10000) in paragraph at lines 107890--107894
[]\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 107928--107933
[]\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 107948--107952
[]\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 107948--107952
[][]\T1/txtt/m/sl/10 SecondaryDatasetConfigurations.delete[][] \T1/qtm/m/n/10 s
oft deletes a Sec-ondary dataset con-fig-u-ra-tion.

Underfull \hbox (badness 10000) in paragraph at lines 107972--107974
[]\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 .
[1009] [1010]
Underfull \hbox (badness 10000) in paragraph at lines 108218--108222
[]\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.
[1011]
Underfull \hbox (badness 10000) in paragraph at lines 108291--108295
[]\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 108291--108295
[][]\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 108327--108329
[]\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 108347--108350
[]\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.
[1012]
Underfull \hbox (badness 7925) in paragraph at lines 108384--108386
[]\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 108392--108397
[]\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
[1013]
Underfull \hbox (badness 10000) in paragraph at lines 108483--108485
[]\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 108483--108485
\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
[1014]
Underfull \hbox (badness 7451) in paragraph at lines 108572--108575
[]\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 108572--108575
\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
[1015] [1016]
Underfull \hbox (badness 10000) in paragraph at lines 108782--108791
[]\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 108782--108791
[][]\T1/txtt/m/sl/10 Model.start_advanced_tuning_session[][]\T1/qtm/m/n/10 , []
[]\T1/txtt/m/sl/10 Model.get_advanced_tuning_parameters[][]\T1/qtm/m/n/10 , [][
]\T1/txtt/m/sl/10 Model.

Underfull \hbox (badness 10000) in paragraph at lines 108821--108823
[][][]\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
[1017]
Underfull \hbox (badness 10000) in paragraph at lines 108943--108946
[]\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 108962--108967
[]\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 108962--108967
\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.
[1018]
Underfull \hbox (badness 10000) in paragraph at lines 108993--108997
[]\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.

Underfull \hbox (badness 10000) in paragraph at lines 109086--109094
[]\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 109086--109094
\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
[1019]
Underfull \hbox (badness 10000) in paragraph at lines 109109--109112
[]\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 109119--109121
[]\T1/qtm/m/n/10 In-di-vid-ual cross val-i-da-tion scores can be re-trieved for
 new mod-els us-ing [][]\T1/txtt/m/sl/10 Model.

Underfull \hbox (badness 10000) in paragraph at lines 109161--109165
[][][]\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.
[1020]
Underfull \hbox (badness 10000) in paragraph at lines 109278--109282
[]\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 109278--109282
\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 109298--109302
[]\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.
[1021]
Underfull \hbox (badness 5302) in paragraph at lines 109324--109328
\T1/qtm/m/n/10 re-cated and will be re-moved in 2.14. Use [][]\T1/txtt/m/sl/10 
datarobot.DatetimePartitioningSpecification.
[1022] [1023]
Underfull \hbox (badness 10000) in paragraph at lines 109598--109601
[]\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.
[1024] [1025]
Underfull \hbox (badness 10000) in paragraph at lines 109791--109793
[]\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,
[1026]
Underfull \hbox (badness 10000) in paragraph at lines 109895--109899
[]\T1/qtm/m/n/10 (Only rel-e-vant for on-premise users with a Stan-dalone Scor-
ing clus-ter.) Meth-ods
[1027]
Underfull \hbox (badness 6268) in paragraph at lines 110010--110014
[]\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.
[1028] [1029]
Underfull \hbox (badness 10000) in paragraph at lines 110146--110148
[]\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.
[1030] [1031] [1032]
Underfull \hbox (badness 6016) in paragraph at lines 110492--110496
[]\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 110512--110517
[]\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 110583--110586
[]\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
[1033] [1034] [1035] [1036] (./datarobot-public-api-client.ind [1037] [1038]
[1039]
Overfull \hbox (2.04472pt too wide) in paragraph at lines 76--78
[]\T1/txtt/m/n/10 assign_environment() \T1/qtm/m/n/10 (\T1/qtm/m/it/10 datarobo
t._experimental.models.notebooks.execution_environment.ExecutionEnvironment

Underfull \hbox (badness 5548) in paragraph at lines 118--120
[]\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 ),
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[]\T1/txtt/m/n/10 continue_incremental_learning_from_incremental_model() \T1/qt
m/m/n/10 (\T1/qtm/m/it/10 datarobot.models.BlenderModel method\T1/qtm/m/n/10 ),


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[]\T1/txtt/m/n/10 continue_incremental_learning_from_incremental_model() \T1/qt
m/m/n/10 (\T1/qtm/m/it/10 datarobot.models.RatingTableModel
[1042]
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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

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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
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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
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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 ),

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[]\T1/txtt/m/n/10 execute_codespace_notebook() \T1/qtm/m/n/10 (\T1/qtm/m/it/10 
datarobot._experimental.models.notebooks.session.NotebookSession class

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[]\T1/txtt/m/n/10 ExecutionEnvironmentAssignPayload \T1/qtm/m/n/10 (\T1/qtm/m/i
t/10 class in datarobot._experimental.models.notebooks.execution_environment\T1
/qtm/m/n/10 ),
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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
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atarobot._experimental.models.chunking_service.DatasetChunkDefinition

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tm/m/it/10 datarobot.models.documentai.document.DocumentTextExtractionSamplePag
e
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[]\T1/txtt/m/n/10 get_execution_status() \T1/qtm/m/n/10 (\T1/qtm/m/it/10 dataro
bot._experimental.models.notebooks.session.NotebookSession class method\T1/qtm/
m/n/10 ),

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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
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[]\T1/txtt/m/n/10 get_most_recent_run() \T1/qtm/m/n/10 (\T1/qtm/m/it/10 datarob
ot._experimental.models.notebooks.scheduled_job.NotebookScheduledJob
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[]\T1/txtt/m/n/10 get_supported_retrieval_settings() \T1/qtm/m/n/10 (\T1/qtm/m/
it/10 datarobot.models.genai.vector_database.VectorDatabase class
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[]\T1/txtt/m/n/10 is_model_compliance_initialized \T1/qtm/m/n/10 (\T1/qtm/m/it/
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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
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[]\T1/txtt/m/n/10 wait_for_completion() \T1/qtm/m/n/10 (\T1/qtm/m/it/10 datarob
ot._experimental.models.notebooks.scheduled_job.NotebookScheduledJob
) [1078] (./datarobot-public-api-client.aux) )
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Output written on datarobot-public-api-client.pdf (1086 pages, 4695694 bytes).
Transcript written on datarobot-public-api-client.log.
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Latexmk: Log file says output to 'datarobot-public-api-client.pdf'
Collected error summary (may duplicate other messages):
  pdflatex: Command for 'pdflatex' gave return code 1
      Refer to 'datarobot-public-api-client.log' for details
Latexmk: Examining 'datarobot-public-api-client.log'
=== TeX engine is 'pdfTeX'
Latexmk: Errors, in force_mode: so I tried finishing targets