Function to measure the change resulting from randomizing a feature value.
Function to measure the change resulting from randomizing a feature value. Defaults to "auto" (detects whether model is regression or classification). Options: "auto", "dev-rate" (class), "abs-dev" (reg), "rms-dev" (reg)
Names to use for features.
Names to use for features. Defaults to f1, f2, ...
Column containing feature vectors.
Column containing feature vectors. Expected type is ML Vector. Defaults to "features"
Column name to use for feature importances.
Column name to use for feature importances. Defaults to "importance"
Column name to use for feature names.
Column name to use for feature names. Defaults to "name"
A predictive model to compute variable importances against.
A predictive model to compute variable importances against. No default.
Model/Transformer for transforming input feature data into a DataFrame containing "name" and "importance" columns, mapping feature name to its computed importance.