[MRG + 1] FIX Calling fit_transform instead of transform in Pipeline's fit_predict#7585
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jnothman merged 3 commits intoscikit-learn:masterfrom Oct 6, 2016
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thanks, lgtm :) |
amueller
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Oct 5, 2016
sklearn/tests/test_pipeline.py
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| # use a pipeline to do the transform and clustering in one step | ||
| pipe = Pipeline([('scaler', scaler), ('Kmeans', km)]) | ||
| pipe = Pipeline([('scaler', scaler_for_pipeline), ('Kmeans', km_for_pipeline)]) |
amueller
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Oct 5, 2016
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thanks! |
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This is actually fixing a regression, and an error on my part :( Tagging with 0.18.1 for backport. Almost LGTM. |
jnothman
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Oct 5, 2016
sklearn/tests/test_pipeline.py
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| # transform and clustering steps separately | ||
| iris = load_iris() | ||
| scaler = StandardScaler() | ||
| scaler_for_pipeline = StandardScaler() |
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Please add a comment that this is necessary since Pipeline does not clone the estimators.
…_predict_on_pipeline
jnothman
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Oct 6, 2016
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LGTM, thanks |
amueller
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Oct 14, 2016
…t_predict (scikit-learn#7585) * BUGFIX Calling fit_transform instead of transform in Pipeline's fit_predict (scikit-learn#7558) * PEP8 fixes in test_fit_predict_on_pipeline * Added comment explaining separate estimators for pipeline in test_fit_predict_on_pipeline
Sundrique
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Jun 14, 2017
…t_predict (scikit-learn#7585) * BUGFIX Calling fit_transform instead of transform in Pipeline's fit_predict (scikit-learn#7558) * PEP8 fixes in test_fit_predict_on_pipeline * Added comment explaining separate estimators for pipeline in test_fit_predict_on_pipeline
paulha
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Aug 19, 2017
…t_predict (scikit-learn#7585) * BUGFIX Calling fit_transform instead of transform in Pipeline's fit_predict (scikit-learn#7558) * PEP8 fixes in test_fit_predict_on_pipeline * Added comment explaining separate estimators for pipeline in test_fit_predict_on_pipeline
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Reference Issue
This PR fixes issue #7558.
What does this implement/fix? Explain your changes.
As discussed in #7558, each transformer in pipeline should call
fit_transforminstead oftransforminfit_predict.test_fix_predict_on_pipelineis also fixed.