API for giuseppec/featureImportance
Model-agnostic feature importance with the mlr package

Global functions
.onLoad Source code
assertMeasure Source code
assertResampleResultData Source code
calculateValueFunctionImportance Man page Source code
calculateValueFunctionPerformance Man page Source code
changeTask Source code
checkPrediction Source code
checkPrediction.character Source code
checkPrediction.default Source code
checkPrediction.factor Source code
computeFeatureImportance Source code
computeFeatureImportanceIteration Source code
computeFeatureImportanceIteration.ResampleResult Source code
computeFeatureImportanceIteration.default Source code
featureImportance Man page Source code
featureImportance.ResampleResult Source code
featureImportance.WrappedModel Source code
featureImportance.default Source code
featureImportanceLearner Man page Source code
generateMarginalContribution Source code
generatePermutations Source code
getMarginalContributionValues Source code
getShapleyImportance Source code
getShapleyUncertainty Source code
measureFeatureImportance Man page Source code
measurePerformance Man page Source code
measurePerformance.ResampleResult Source code
measurePerformance.WrappedModel Source code
measurePerformance.default Source code
nullImportance Source code
nullImportanceIteration Source code
permuteFeature Source code
pimp Man page Source code
plotImportance Man page Source code
print.ShapleyImportance Source code
print.featureImportance Source code
print.pimp Source code
replaceFeature Source code
shapleyImportance Man page Source code
splitPrediction Source code
summary.featureImportance Source code
valueFunction Man page
giuseppec/featureImportance documentation built on June 1, 2021, 11:04 a.m.