evalml.pipelines.components.RFClassifierSelectFromModel¶
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class evalml.pipelines.components.RFClassifierSelectFromModel(number_features=None, n_estimators=10, max_depth=None, percent_features=0.5, threshold=-inf, n_jobs=-1, random_state=0)[source]¶
- Selects top features based on importance weights using a Random Forest classifier - Methods - Initialize self. - Describe a component and its parameters - Fits component to data - Fits feature selector on data X then transforms X by selecting features - Get integer index of features selected - Get names of selected features. - Transforms data X by selecting features