autoInterpret | Automated model interpretability |
autoLearn | Automated machine learning training of models |
autoML | Automated machine learning |
autoPreProcess | Automated data cleaning and feature engineering for machine... |
autoSample | Stratified down sampling |
availableLearners | Available models in autoML |
availableMetrics | Available optimization metrics for machine learning models |
cleanFeatures | Automated data cleaning |
computeInteractions | Computes feature interactions |
distanceToCenter | Computes unsupervised features on numerical and integer... |
encodeMean | Mean encoding for categorical features |
encodeMissing | Encode missing values in features |
encodeOneHot | One hot encoding of categorical features |
encodeOrdinal | Ordinal encoding of categorical features |
encodeProportion | Proportional encoding of categorical features |
engineerDateTime | Engineer date features |
engineerText | Automated feature engineering of text features |
exploreData | Exploratory data analysis |
fastEDA | Fast exploratory data analysis |
featureImportance | Measures feature importance for any model provided |
fixCatProportions | Correct low proportional levels of categorical features |
generateBalancedTask | Generates a balanced task using oversampling from an existing... |
generateHyperParams | Generates a list of hyper parameters suitable for specific... |
generateLearners | Generates a list of mlr learners |
generateMetrics | Generates optimization metrics |
generateTask | Creates a mlr task |
localModelInterpretability | Local model interpretation |
modelInteractions | Model feature interactions |
modifyCode | Modify production code to be model specific |
partialDependence | Generate partial dependence plots |
saveCode | Save automatically generated code |
scaler | Scales a numeric feature using the max approach |
searchFeatFormatting | Feature formatting searching |
searchIDFeats | Searches for ID features in dataset |
transformFeatures | Transformations on numerical features |
treeExplainer | Decision tree local model explainer |
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