chore: sync internal changes to GitHub #34
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feat: support `optimize_strategy` parameter in `bigframes.ml.linear_model.LinearRegression` feat: support `l2_reg` parameter in `bigframes.ml.linear_model.LinearRegression` feat: support `max_iterations` parameter in `bigframes.ml.linear_model.LinearRegression` feat: support `learn_rate_strategy` parameter in `bigframes.ml.linear_model.LinearRegression` feat: support `early_stop` parameter in `bigframes.ml.linear_model.LinearRegression` feat: support `min_rel_progress` parameter in `bigframes.ml.linear_model.LinearRegression` feat: support `ls_init_learn_rate` parameter in `bigframes.ml.linear_model.LinearRegression` feat: support `calculate_p_values` parameter in `bigframes.ml.linear_model.LinearRegression` feat: support `enable_global_explain` parameter in `bigframes.ml.linear_model.LinearRegression` test: add golden SQL test for logistic model test: extend ml golden sql test linear_reg docs: link to Remote Functions code samples from README and API reference feat: support `df[column_name] = df_only_one_column` feat: add `DataFrame.rolling` and `DataFrame.expanding` methods feat: add `DataFrame.kurtosis` / `DF.kurt` method feat: support `class_weights="balanced"` in `LogisticRegression` model
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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:e7cc6823efb073a8a26e7cefdd869f12ec228abfbd2a44aa9a7eacc284023677 <details><summary>bigframes: 2.35.0</summary> ## [2.35.0](v2.34.0...v2.35.0) (2026-02-07) ### Features * Add bigframes.pandas.col with basic operators (#2405) ([1274167](12741677)) * remove redundant "started." messages from progress output (#2440) ([2017cc2](2017cc2f)) * add bigframe.bigquery.load_data function (#2426) ([4b0f13b](4b0f13b2)) * Disable progress bars in Anywidget mode (#2444) ([4e2689a](4e2689a1)) * add bigquery.ai.generate_text function (#2433) ([5bd0029](5bd0029a)) * Disable progress bars in Anywidget mode to reduce notebook clutter (#2437) ([853240d](853240da)) * Add a bigframes cell magic for ipython (#2395) ([e6de52d](e6de52de)) * add `bigframes.bigquery.ai.generate_embedding` (#2343) ([e91536c](e91536c8)) ### Bug Fixes * always display the results in the `%%bqsql` cell magics output (#2439) ([2d973b5](2d973b54)) * exlcude gcsfs 2026.2.0 (#2445) ([311de31](311de31e)) * suppress JSONDtypeWarning in Anywidget mode and clean up progress output (#2441) ([e0d185a](e0d185ad)) ### Documentation * fix cast method shown on public docs (#2436) ([ad0f33c](ad0f33c6)) </details>
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To generate this PR, I ran
feat: support
optimize_strategyparameter inbigframes.ml.linear_model.LinearRegressionfeat: support
l2_regparameter inbigframes.ml.linear_model.LinearRegressionfeat: support
max_iterationsparameter inbigframes.ml.linear_model.LinearRegressionfeat: support
learn_rate_strategyparameter inbigframes.ml.linear_model.LinearRegressionfeat: support
early_stopparameter inbigframes.ml.linear_model.LinearRegressionfeat: support
min_rel_progressparameter inbigframes.ml.linear_model.LinearRegressionfeat: support
ls_init_learn_rateparameter inbigframes.ml.linear_model.LinearRegressionfeat: support
calculate_p_valuesparameter inbigframes.ml.linear_model.LinearRegressionfeat: support
enable_global_explainparameter inbigframes.ml.linear_model.LinearRegressiontest: add golden SQL test for logistic model
test: extend ml golden sql test linear_reg
docs: link to Remote Functions code samples from README and API reference
feat: support
df[column_name] = df_only_one_columnfeat: add
DataFrame.rollingandDataFrame.expandingmethodsfeat: add
DataFrame.kurtosis/DF.kurtmethodfeat: support
class_weights="balanced"inLogisticRegressionmodel