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Feature elimination.
A FeaturewiseDatasetMeasure is used to compute sensitivity maps given a certain dataset. These sensitivity maps are in turn used to discard unimportant features.
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sensitivity = StateVariable(enabled= False)
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_collections_template =
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__sensitivity_analyzer Sensitivity analyzer to use once |
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__feature_selector Functor which takes care about removing some features. |
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Select the most important features Returns a tuple of two new datasets with selected feature
subset of
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_collections_template
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