Man pages for TuSKan/automlr
Automatic Machine Learning Algorithm Configuration in R

autoMLAutomatically choose a model with parameters to fit.
cpoAppendEncodesAppend Encodes
cpoAppendTransformersAppend Transformers
cpoBorderEncodeBorder Encode
cpoCleaningEffective Cleaning
cpoCrossFactorsCross All Factors Variables
cpoDistTransformDistribution Transform
cpoDropNAColsDrop columns with many NA values
cpoFreqEncodeFrequency Encode
cpoInftoNAConvert Inf values to NA
cpoInteractionInteraction All Factors Variables
cpoLabelEncodeLabel Encode
cpoLogTransformLogarithm Transform
cpoScaleConstruct a CPO for Scaling / Centering
cpoTargetEncodeTarget Encode
cpoTemplateDummy Function for Documentation Purposes
cpoWOEEncodeWOE Encode
getParConfigListLearnerNamegetParConfigListLearnerName
getParConfigListParSetgetParConfigListParSet
getParConfigListParValsgetParConfigListParVals
JSONToParConfigJSONToParConfig
parConfigToJSONparConfigToJSON
predict.autoMLPredict a automl obj
sub-.ParConfigListParConfigList Extractor
TuSKan/automlr documentation built on Oct. 24, 2018, 7 a.m.