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feat: use StandardSqlField class for Model.feature_columns and Model.label_columns - #1117
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tswast merged 1 commit intoJan 28, 2022
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feat: use StandardSqlField class for Model.feature_columns and Model.label_columns#1117tswast merged 1 commit into
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…odel.label_columns`
shollyman
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Jan 21, 2022
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tswast
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Mar 29, 2022
deps!: BigQuery Storage and pyarrow are required dependencies (#776) fix!: use nullable `Int64` and `boolean` dtypes in `to_dataframe` (#786) feat!: destination tables are no-longer removed by `create_job` (#891) feat!: In `to_dataframe`, use `dbdate` and `dbtime` dtypes from db-dtypes package for BigQuery DATE and TIME columns (#972) fix!: automatically convert out-of-bounds dates in `to_dataframe`, remove `date_as_object` argument (#972) feat!: mark the package as type-checked (#1058) feat!: default to DATETIME type when loading timezone-naive datetimes from Pandas (#1061) feat: add `api_method` parameter to `Client.query` to select `INSERT` or `QUERY` API (#967) fix: improve type annotations for mypy validation (#1081) feat: use `StandardSqlField` class for `Model.feature_columns` and `Model.label_columns` (#1117) docs: Add migration guide from version 2.x to 3.x (#1027) Release-As: 3.0.0
waltaskew
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Jul 20, 2022
deps!: BigQuery Storage and pyarrow are required dependencies (googleapis#776) fix!: use nullable `Int64` and `boolean` dtypes in `to_dataframe` (googleapis#786) feat!: destination tables are no-longer removed by `create_job` (googleapis#891) feat!: In `to_dataframe`, use `dbdate` and `dbtime` dtypes from db-dtypes package for BigQuery DATE and TIME columns (googleapis#972) fix!: automatically convert out-of-bounds dates in `to_dataframe`, remove `date_as_object` argument (googleapis#972) feat!: mark the package as type-checked (googleapis#1058) feat!: default to DATETIME type when loading timezone-naive datetimes from Pandas (googleapis#1061) feat: add `api_method` parameter to `Client.query` to select `INSERT` or `QUERY` API (googleapis#967) fix: improve type annotations for mypy validation (googleapis#1081) feat: use `StandardSqlField` class for `Model.feature_columns` and `Model.label_columns` (googleapis#1117) docs: Add migration guide from version 2.x to 3.x (googleapis#1027) Release-As: 3.0.0
abdelmegahedgoogle
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Apr 17, 2023
deps!: BigQuery Storage and pyarrow are required dependencies (googleapis#776) fix!: use nullable `Int64` and `boolean` dtypes in `to_dataframe` (googleapis#786) feat!: destination tables are no-longer removed by `create_job` (googleapis#891) feat!: In `to_dataframe`, use `dbdate` and `dbtime` dtypes from db-dtypes package for BigQuery DATE and TIME columns (googleapis#972) fix!: automatically convert out-of-bounds dates in `to_dataframe`, remove `date_as_object` argument (googleapis#972) feat!: mark the package as type-checked (googleapis#1058) feat!: default to DATETIME type when loading timezone-naive datetimes from Pandas (googleapis#1061) feat: add `api_method` parameter to `Client.query` to select `INSERT` or `QUERY` API (googleapis#967) fix: improve type annotations for mypy validation (googleapis#1081) feat: use `StandardSqlField` class for `Model.feature_columns` and `Model.label_columns` (googleapis#1117) docs: Add migration guide from version 2.x to 3.x (googleapis#1027) Release-As: 3.0.0
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Since we have a manual StandardSqlField class for other features, it makes sense to use it for Model as well.
While technically a different class and type from the generated proto classes, it should act the same and avoid some breaking changes.
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Towards #814
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