* add new alias '__version__'

* remove accidental changes

* correct assignment

* docs: edit existing code snippet for linear regression and add to /snippets

* return type

* remove filtering

* input data updated

* remove score and predict

Co-authored-by: Tim Sweña (Swast) <[email protected]>

* delete blank line

Co-authored-by: Tim Sweña (Swast) <[email protected]>

* remove test data

Co-authored-by: Tim Sweña (Swast) <[email protected]>

* remove test checks

Co-authored-by: Tim Sweña (Swast) <[email protected]>

* remove test check

Co-authored-by: Tim Sweña (Swast) <[email protected]>

* add variable input to allow random string to be passed and saved as the model

Co-authored-by: Tim Sweña (Swast) <[email protected]>

* add line that writes the dataframe to big query

* update comment with the correct tutorial model reference

* update comment with the correct tutorial model reference

* remove extra line

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Co-authored-by: Tim Sweña (Swast) <[email protected]>

* refactor: re-arrange describe logic into two helper methods

* 🦉 Updates from OwlBot post-processor

See https://github.com/googleapis/repo-automation-bots/blob/main/packages/owl-bot/README.md

---------

Co-authored-by: Owl Bot <gcf-owl-bot[bot]@users.noreply.github.com>

…es with partial ordering mode (#1013)

* docs: limit pypi notebook to 7 days and add more info about differences with partial ordering mode

* avoid expensive `max()` call

…ustom SQL-based transformations (#955)

* Add support for custom transformers (not ML.) in ColumnTransformer.

* allow numbers in Custom-Transformer-IDs.

* comment was moved to the end of the sql.

* Do not offer the feedback link for missing custom transformers.

* cleanup typing hints.

* Add unit tests for CustomTransformer.

* added unit tests for _extract_output_names() and _compile_to_sql().

* run black and flake8 linter.

* fixed wrong @classmethod annotation.

* on the way to SQLScalarColumnTransformer

* remove pytest.main call.

* remove CustomTransformer class and implementations.

* fix typing.

* fix typing.

* fixed mock typing.

* replace _NameClass.

* black formating.

* add traget_column as input_column with a "?" prefix
when parsing SQLScalarColumnTransformer from sql.

* reformatted with black version 22.3.0.

* 🦉 Updates from OwlBot post-processor

See https://github.com/googleapis/repo-automation-bots/blob/main/packages/owl-bot/README.md

* remove eclipse project files

* SQLScalarColumnTransformer needs not to be inherited from
base.BaseTransformer.

* remove filter for "ML." sqls in _extract_output_names() of
BaseTransformer

* introduced type hint SingleColTransformer
for transformers contained in ColumnTransformer

* make sql and target_column private in SQLScalarColumnTransformer

* Add documentation for SQLScalarColumnTransformer.

* add first system test for SQLScalarColumnTransformer.

* SQLScalarColumnTransformer system tests for fit-transform and save-load

* make SQLScalarColumnTransformer comparable (equals) for comparing sets
in tests

* implement hash and eq (copied from BaseTransformer)

* undo accidentally checked in files

* remove eclipse settings accidentally checked in.

* fix docs.

* Update bigframes/ml/compose.py

* Update bigframes/ml/compose.py

* add support for flexible column names.

* remove main.

* add system test for output column with flexible column name

* system tests: add new flexible output column to check-df-schema.

* Apply suggestions from code review

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Co-authored-by: Ferenc Hechler <[email protected]>
Co-authored-by: Tim Sweña (Swast) <[email protected]>
Co-authored-by: Owl Bot <gcf-owl-bot[bot]@users.noreply.github.com>

* feat: allow multiple columns input for llm models

* fix

* add tests

* resolve comments

* feat: add bigframes.bigquery.approx_top_count

* fix docs

Co-authored-by: release-please[bot] <55107282+release-please[bot]@users.noreply.github.com>