Man pages for XanderHorn/autoML
Automated machine learning
| 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 |
