R: Interpretable Machine Learning

# Interpretable Machine Learning

## Documentation for package ‘iml’ version 0.11.4

- DESCRIPTION file.
- User guides, package vignettes and other documentation.
- Package NEWS.

## Help Pages

iml-package | Make machine learning models and predictions interpretable
extract.glmnet.effects | Extract glmnet effects
FeatureEffect | Effect of a feature on predictions
FeatureEffects | Effect of a feature on predictions
FeatureImp | Feature importance
has.predict | returns TRUE if object has predict function
iml | Make machine learning models and predictions interpretable
Interaction | Feature interactions
InterpretationMethod | Interpretation Method
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
probs.to.labels | Turn class probabilities into class labels
Shapley | Prediction explanations with game theory
TreeSurrogate | Decision tree surrogate model