Man pages for XanderHorn/autoML
Automated machine learning

autoInterpretAutomated model interpretability
autoLearnAutomated machine learning training of models
autoMLAutomated machine learning
autoPreProcessAutomated data cleaning and feature engineering for machine...
autoSampleStratified down sampling
availableLearnersAvailable models in autoML
availableMetricsAvailable optimization metrics for machine learning models
cleanFeaturesAutomated data cleaning
computeInteractionsComputes feature interactions
distanceToCenterComputes unsupervised features on numerical and integer...
encodeMeanMean encoding for categorical features
encodeMissingEncode missing values in features
encodeOneHotOne hot encoding of categorical features
encodeOrdinalOrdinal encoding of categorical features
encodeProportionProportional encoding of categorical features
engineerDateTimeEngineer date features
engineerTextAutomated feature engineering of text features
exploreDataExploratory data analysis
fastEDAFast exploratory data analysis
featureImportanceMeasures feature importance for any model provided
fixCatProportionsCorrect low proportional levels of categorical features
generateBalancedTaskGenerates a balanced task using oversampling from an existing...
generateHyperParamsGenerates a list of hyper parameters suitable for specific...
generateLearnersGenerates a list of mlr learners
generateMetricsGenerates optimization metrics
generateTaskCreates a mlr task
localModelInterpretabilityLocal model interpretation
modelInteractionsModel feature interactions
modifyCodeModify production code to be model specific
partialDependenceGenerate partial dependence plots
saveCodeSave automatically generated code
scalerScales a numeric feature using the max approach
searchFeatFormattingFeature formatting searching
searchIDFeatsSearches for ID features in dataset
transformFeaturesTransformations on numerical features
treeExplainerDecision tree local model explainer
XanderHorn/autoML documentation built on Aug. 5, 2020, 11:45 a.m.