Interpretable Machine Learning


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Documentation for package ‘iml’ version 0.9.0

Help Pages

iml-package Make machine learning models and predictions interpretable
calculate.ale.cat Compute ALE for 1 categorical feature
calculate.ale.num Compute ALE for 1 numerical feature
calculate.ale.num.cat Compute ALE for 2 features, one numerical, one categorical
calculate.ale.num.num Compute ALE for 2 numerical features
FeatureEffect Effect of a feature on predictions
FeatureEffects Effect of all features on predictions
FeatureImp Feature importance
iml Make machine learning models and predictions interpretable
impute_cells Impute missing cells of grid
Interaction Feature interactions
LocalModel LocalModel
order_levels Order levels of a categorical features
Partial Effect of one or two feature(s) on the model predictions (deprecated)
plot.FeatureEffect Plot FeatureEffect
plot.FeatureEffects Plot FeatureEffect
plot.FeatureImp Plot Feature Importance
plot.Interaction Plot Interaction
plot.LocalModel Plot Local Model
plot.Shapley Plot Shapley
plot.TreeSurrogate Plot Tree Surrogate
predict.LocalModel Predict LocalModel
predict.TreeSurrogate Predict Tree Surrogate
Predictor Predictor object
Shapley Prediction explanations with game theory
TreeSurrogate Decision tree surrogate model