Select Features from Model

Meta-transformer for selecting features based on importance weight. Only works for models with coef or feature_importances attributes.

Configuration:

• threshold

  The threshold value to use for feature selection. Features whose importance is greater or equal are kept while the others are discarded. If “median” (resp. “mean”), then the threshold value is the median (resp. the mean) of the feature importances. A scaling factor (e.g., “1.25*mean”) may also be used. If None and if the estimator has a parameter penalty set to l1, either explicitly or implicitly (e.g, Lasso), the threshold used is 1e-5. Otherwise, “mean” is used by default.

Attributes: Inputs:

model : model

Model

in-data : table

in-data

Outputs:

out-data : table

out-data

features : table

features

Ports:

Inputs:

model:

model

Model

in-data:

table

in-data

Outputs:

out-data:

table

out-data

features:

table

features

Configuration:

threshold

The threshold value to use for feature selection. Features whose importance is greater or equal are kept while the others are discarded. If “median” (resp. “mean”), then the threshold value is the median (resp. the mean) of the feature importances. A scaling factor (e.g., “1.25*mean”) may also be used. If None and if the estimator has a parameter penalty set to l1, either explicitly or implicitly (e.g, Lasso), the threshold used is 1e-5. Otherwise, “mean” is used by default.

class node_application.SelectFromModel