feat: Allow DataFrame.join for self-join on Null index #860
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tswast
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Jul 25, 2024
Good idea. This revealed that ml modules were caching pre-join, which is invalidated by row-identity join. Instead, I made it cache post-join. |
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GarrettWu
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bigframes/ml/core.py
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| @@ -326,7 +326,7 @@ def create_model( | |||
| if y_train is None: | |||
| input_data = X_train.cache() | |||
| else: | |||
| input_data = X_train.cache().join(y_train.cache(), how="outer") | |||
| input_data = X_train.join(y_train.cache(), how="outer").cache() | |||
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this should be y_train without cache() as well?
| def test_unordered_mode_logistic_regression_configure_fit_score( | ||
| unordered_session, penguins_table_id, dataset_id | ||
| ): | ||
| model = bigframes.ml.linear_model.LogisticRegression() |
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Not a problem, but if we only pick one model to test some shared functionalities, usually the choice is LinearReg.
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ok, used linear regression model instead
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tswast
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Fixes #<issue_number_goes_here> 🦕