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Adding feature selection operations #1398
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pdxjohnny
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Jul 24, 2022
| ) | ||
| async def select_percentile(data, target_data, score_func=f_classif, percentile=10): | ||
| """ | ||
| Select a certain top percentile of features, based on the score function. |
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| Select a certain top percentile of features, based on the score function. | |
| Select a certain top percentile of features, based on the score function. | |
| References: | |
| - https://scikit-learn.org/stable/modules/generated/sklearn.feature_selection.SelectPercentile.html |
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Added two new feature selection operations to the dffml.operations.data plugin, select_k_best and select_percentile. These are based entirely on the Sklearn functions:
https://scikit-learn.org/stable/modules/generated/sklearn.feature_selection.SelectKBest
https://scikit-learn.org/stable/modules/generated/sklearn.feature_selection.SelectPercentile.html#sklearn.feature_selection.SelectPercentile
Corresponding unit tests have also been added. This is part of the specifications for the GSOC project: #968.