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This PR adds support for CREATE MODEL statement in BigQuery ML via bigframes.bigquery.ml.create_model.
It includes DDL generation logic handling various clauses like TRANSFORM, OPTIONS, remote models, and different data input formats.
It also refactors bigframes.core.sql into a package to support the new submodule.


PR created automatically by Jules for task 3846335972146851433 started by @tswast

- Refactor `bigframes.core.sql` to a package.
- Add `bigframes.core.sql.ml` for DDL generation.
- Add `bigframes.bigquery.ml` module with `create_model` function.
- Add unit tests for SQL generation.
- Use `_start_query_ml_ddl` for execution.
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@product-auto-label product-auto-label bot added size: l Pull request size is large. api: bigquery Issues related to the googleapis/python-bigquery-dataframes API. labels Dec 1, 2025
- Refactor `bigframes.core.sql` to a package.
- Add `bigframes.core.sql.ml` for DDL generation.
- Add `bigframes.bigquery.ml` module with `create_model` function.
- Add unit tests for SQL generation.
- Use `_start_query_ml_ddl` for execution.
- Return the created model object using `read_gbq_model`.
training_data: Optional[str] = None,
custom_holiday: Optional[str] = None,
) -> str:
"""Encode the CREATE MODEL statement."""
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Done. Added the link.

output_schema: Optional[Mapping[str, str]] = None,
connection_name: Optional[str] = None,
options: Optional[Mapping[str, Union[str, int, float, bool, list]]] = None,
query_statement: Optional[str] = None,
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Remove query_statement. Instead, if training_data is specified and custom_holiday is not, use training_data as query_statement currently is now.

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Done. Removed query_statement and updated the logic to use training_data as the main query if custom_holiday is not present.

Comment on lines 47 to 53
# Helper to convert DataFrame to SQL string
def _to_sql(df_or_sql: Union[dataframe.DataFrame, str]) -> str:
if isinstance(df_or_sql, str):
return df_or_sql
# It's a DataFrame
sql, _, _ = df_or_sql._to_sql_query(include_index=True)
return sql
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Move this outside of the function body.

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Done. Moved _to_sql outside create_model.

if isinstance(df_or_sql, str):
return df_or_sql
# It's a DataFrame
sql, _, _ = df_or_sql._to_sql_query(include_index=True)
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Don't include the index in the training data.

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Done. Updated _to_sql to use include_index=False.

output_schema: Optional[Mapping[str, str]] = None,
connection_name: Optional[str] = None,
options: Optional[Mapping[str, Union[str, int, float, bool, list]]] = None,
query: Optional[Union[dataframe.DataFrame, str]] = None,
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Remove the query argument.

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Done. Removed the query argument from create_model.

- Refactor `bigframes.core.sql` to a package.
- Add `bigframes.core.sql.ml` for DDL generation.
- Add `bigframes.bigquery.ml` module with `create_model` function.
- Add unit tests for SQL generation.
- Use `_start_query_ml_ddl` for execution.
- Return the created model object using `read_gbq_model`.
- Remove `query` argument, simplify SQL generation logic.
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tswast commented Dec 1, 2025

@google-labs-jules Link and Mypy are currently failing. Please run nox -r -s format lint mypy and address all errors and warnings.

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@google-labs-jules Link and Mypy are currently failing. Please run nox -r -s format lint mypy and address all errors and warnings.

I have addressed the linting and mypy errors. I ran black, isort, and fixed the mypy issues in bigframes/bigquery/_operations/ml.py.

- Refactor `bigframes.core.sql` to a package.
- Add `bigframes.core.sql.ml` for DDL generation.
- Add `bigframes.bigquery.ml` module with `create_model` function.
- Add unit tests for SQL generation.
- Use `_start_query_ml_ddl` for execution.
- Return the created model object using `read_gbq_model`.
- Remove `query` argument, simplify SQL generation logic.
- Fix linting and mypy errors.
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tswast commented Dec 1, 2025

@google-labs-jules I still see these failures:

nox > Running session lint
nox > Creating virtual environment (virtualenv) using python3.10 in .nox/lint
nox > python -m pip install flake8==7.1.2 black==22.3.0 isort==5.12.0
nox > isort --check docs bigframes scripts tests third_party noxfile.py setup.py
ERROR: /home/runner/work/python-bigquery-dataframes/python-bigquery-dataframes/tests/unit/core/sql/test_ml.py Imports are incorrectly sorted and/or formatted.
nox > Command isort --check docs bigframes scripts tests third_party noxfile.py setup.py failed with exit code 1
nox > Session lint failed.
nox > Running session mypy
nox > Creating virtual environment (virtualenv) using python3.10 in .nox/mypy
nox > python -m pip install .
nox > python -m pip install google-cloud-testutils pytest-asyncio types-PyYAML pytest-xdist jinja2 mock types-python-dateutil openpyxl xarray tabulate 'pandas-stubs<=2.2.3.241126' polars types-protobuf pytest==8.4.2 anywidget mypy==1.15.0 pytest-timeout pytest-mock types-requests pytest-cov pytest-retry types-setuptools asyncmock types-tabulate
nox > mypy bigframes tests/system tests/unit --check-untyped-defs --explicit-package-bases '--exclude="^third_party"'
bigframes/bigquery/_operations/ml.py:50: error: Name "bigframes.ml.base.BaseModel" is not defined  [name-defined]
Found 1 error in 1 file (checked 541 source files)
nox > Command mypy bigframes tests/system tests/unit --check-untyped-defs --explicit-package-bases '--exclude="^third_party"' failed with exit code 1
nox > Session mypy failed.

Looks like you might be missing an import.

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@google-labs-jules I still see these failures:

nox > Running session lint
nox > Creating virtual environment (virtualenv) using python3.10 in .nox/lint
nox > python -m pip install flake8==7.1.2 black==22.3.0 isort==5.12.0
nox > isort --check docs bigframes scripts tests third_party noxfile.py setup.py
ERROR: /home/runner/work/python-bigquery-dataframes/python-bigquery-dataframes/tests/unit/core/sql/test_ml.py Imports are incorrectly sorted and/or formatted.
nox > Command isort --check docs bigframes scripts tests third_party noxfile.py setup.py failed with exit code 1
nox > Session lint failed.
nox > Running session mypy
nox > Creating virtual environment (virtualenv) using python3.10 in .nox/mypy
nox > python -m pip install .
nox > python -m pip install google-cloud-testutils pytest-asyncio types-PyYAML pytest-xdist jinja2 mock types-python-dateutil openpyxl xarray tabulate 'pandas-stubs<=2.2.3.241126' polars types-protobuf pytest==8.4.2 anywidget mypy==1.15.0 pytest-timeout pytest-mock types-requests pytest-cov pytest-retry types-setuptools asyncmock types-tabulate
nox > mypy bigframes tests/system tests/unit --check-untyped-defs --explicit-package-bases '--exclude="^third_party"'
bigframes/bigquery/_operations/ml.py:50: error: Name "bigframes.ml.base.BaseModel" is not defined  [name-defined]
Found 1 error in 1 file (checked 541 source files)
nox > Command mypy bigframes tests/system tests/unit --check-untyped-defs --explicit-package-bases '--exclude="^third_party"' failed with exit code 1
nox > Session mypy failed.

Looks like you might be missing an import.

I have run isort on the test file and fixed the mypy error in bigframes/bigquery/_operations/ml.py by using TYPE_CHECKING block.

- Refactor `bigframes.core.sql` to a package.
- Add `bigframes.core.sql.ml` for DDL generation.
- Add `bigframes.bigquery.ml` module with `create_model` function.
- Add unit tests for SQL generation.
- Use `_start_query_ml_ddl` for execution.
- Return the created model object using `read_gbq_model`.
- Remove `query` argument, simplify SQL generation logic.
- Fix linting and mypy errors.
@tswast tswast changed the title feat: Add BigQuery ML CREATE MODEL support feat: add bigframes.bigquery.create_model method Dec 2, 2025
@tswast tswast marked this pull request as ready for review December 2, 2025 17:27
@tswast tswast requested review from a team as code owners December 2, 2025 17:27
@tswast tswast self-requested a review December 2, 2025 17:27
google-labs-jules bot and others added 5 commits December 2, 2025 17:31
- Refactor `bigframes.core.sql` to a package.
- Add `bigframes.core.sql.ml` for DDL generation.
- Add `bigframes.bigquery.ml` module with `create_model` function.
- Add unit tests for SQL generation.
- Use `_start_query_ml_ddl` for execution.
- Return the created model object using `read_gbq_model`.
- Remove `query` argument, simplify SQL generation logic.
- Fix linting and mypy errors.
- Add docstrings.
- Refactor `bigframes.core.sql` to a package.
- Add `bigframes.core.sql.ml` for DDL generation.
- Add `bigframes.bigquery.ml` module with `create_model` function.
- Add unit tests for SQL generation.
- Use `_start_query_ml_ddl` for execution.
- Return the created model object using `read_gbq_model`.
- Remove `query` argument, simplify SQL generation logic.
- Fix linting and mypy errors.
- Add docstrings.
@product-auto-label product-auto-label bot added size: l Pull request size is large. and removed size: xl Pull request size is extra large. labels Dec 3, 2025
@product-auto-label product-auto-label bot added size: xl Pull request size is extra large. and removed size: l Pull request size is large. labels Dec 3, 2025
tswast
tswast previously approved these changes Dec 3, 2025
@tswast tswast added the kokoro:force-run Add this label to force Kokoro to re-run the tests. label Dec 3, 2025
@tswast tswast requested a review from GarrettWu December 3, 2025 17:14
@bigframes-bot bigframes-bot removed the kokoro:force-run Add this label to force Kokoro to re-run the tests. label Dec 3, 2025
@tswast tswast added the kokoro:force-run Add this label to force Kokoro to re-run the tests. label Dec 3, 2025
@yoshi-kokoro yoshi-kokoro removed the kokoro:force-run Add this label to force Kokoro to re-run the tests. label Dec 3, 2025
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tswast commented Dec 3, 2025

Notebook failure is in an unrelated notebook:

FAILED notebooks/streaming/streaming_dataframe.ipynb::streaming_dataframe.ipynb - NBMAKE INTERNAL ERROR

Looks like it might be some flakiness introduced by our use of Anywidget. Filed b/465768150 for investigation.

e2e failures:

Traceback (most recent call last):
  File "/tmpfs/src/github/python-bigquery-dataframes/.nox/unit_prerelease/lib/python3.13/site-packages/_pytest/config/__init__.py", line 1967, in parse_warning_filter
    category: type[Warning] = _resolve_warning_category(category_)
                              ~~~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^
  File "/tmpfs/src/github/python-bigquery-dataframes/.nox/unit_prerelease/lib/python3.13/site-packages/_pytest/config/__init__.py", line 2013, in _resolve_warning_category
    cat = getattr(m, klass)
AttributeError: module 'pandas.errors' has no attribute 'SettingWithCopyWarning'

Looks like this might be caused by a pandas 3.0 prerelease. I'll tackle that in a separate PR.

@tswast tswast enabled auto-merge (squash) December 3, 2025 20:07
@tswast tswast merged commit 719b278 into main Dec 3, 2025
23 of 26 checks passed
@tswast tswast deleted the create-model-support branch December 3, 2025 20:08
tswast pushed a commit that referenced this pull request Dec 11, 2025
PR created by the Librarian CLI to initialize a release. Merging this PR
will auto trigger a release.

Librarian Version: v0.7.0
Language Image:
us-central1-docker.pkg.dev/cloud-sdk-librarian-prod/images-prod/python-librarian-generator@sha256:c8612d3fffb3f6a32353b2d1abd16b61e87811866f7ec9d65b59b02eb452a620
<details><summary>bigframes: 2.31.0</summary>

##
[2.31.0](v2.30.0...v2.31.0)
(2025-12-10)

### Features

* add `bigframes.bigquery.ml` methods (#2300)
([719b278](719b278c))

* add &#39;weekday&#39; property to DatatimeMethod (#2304)
([fafd7c7](fafd7c73))

### Bug Fixes

* cache DataFrames to temp tables in bigframes.bigquery.ml methods to
avoid time travel (#2318)
([d993831](d9938319))

### Reverts

* DataFrame display uses IPython&#39;s `_repr_mimebundle_` (#2316)
([e4e3ec8](e4e3ec85))

</details>
tswast pushed a commit that referenced this pull request Dec 11, 2025
PR created by the Librarian CLI to initialize a release. Merging this PR
will auto trigger a release.

Librarian Version: v0.7.0
Language Image:
us-central1-docker.pkg.dev/cloud-sdk-librarian-prod/images-prod/python-librarian-generator@sha256:c8612d3fffb3f6a32353b2d1abd16b61e87811866f7ec9d65b59b02eb452a620
<details><summary>bigframes: 2.31.0</summary>

##
[2.31.0](v2.30.0...v2.31.0)
(2025-12-10)

### Features

* add `bigframes.bigquery.ml` methods (#2300)
([719b278](719b278c))

* add &#39;weekday&#39; property to DatatimeMethod (#2304)
([fafd7c7](fafd7c73))

### Bug Fixes

* cache DataFrames to temp tables in bigframes.bigquery.ml methods to
avoid time travel (#2318)
([d993831](d9938319))

### Reverts

* DataFrame display uses IPython&#39;s `_repr_mimebundle_` (#2316)
([e4e3ec8](e4e3ec85))

</details>
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