| Interface | Description |
|---|---|
| FeatureImportance |
Defines an interface for classes that are used to rank the importance of the input features to a model.
|
| Class | Description |
|---|---|
| AbstractFeatureImportance |
Provides basic functionality for a feature ranking algorithm.
|
| CorrelationFeatureImportanceCalc |
Compute feature importance using correlation between each of the features and the target.
|
| FeatureRank |
The ranking/importance of an individual feature.
|
| NeuralFeatureImportanceCalc |
A feature ranking algorithm based on the weights of a neural network.
|
| PerturbationFeatureImportanceCalc |
perturbation feature encoding can be used to determine the importance of features for any type of regression or
classification model, with any compatible dataset.
|