evalml.pipelines.components.RFRegressorSelectFromModel¶

class evalml.pipelines.components.RFRegressorSelectFromModel(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 regressor

Methods

`__init__`	Initialize self.
`describe`	Describe a component and its parameters
`fit`	Fits component to data
`fit_transform`	Fits on X and transforms X
`get_indices`	Get integer index of features selected
`get_names`	Get names of selected features.
`transform`	Transforms data X