Man pages for konstantin-kotochigov/R_ml_utils
Kostyan's functions

apply.factor.groupingApply groupings to new data
classify.columnsGet variables class information
compute.woeCreate cross-tabulation between factor and binary target
convert.columnsConvert columns
create.woeCreate WOE mapping
cv.glmCompute average AUC with cross-validation
find.optimal.subsetBeta
generate.date.featuresGenerate date features
get.auc.importanceCalculate AUC importance of each attribute
get.chisq.importanceCalculate Chi-squared importance of each attribute
get.date.columnsGet names of all date columns
get.date.formatDeduct date format
get.factor.columnsGet names of all factor columns
get.numeric.columnsGet names of all numeric columns
get.proposed.conversionsGet proposed type conversions
get.rf.importanceCalculate RandomForest importance of each attribute
get.rf.subset.qualityBeta
get.var.importanceCalculate combined importance measure of each attribute
group.factorPut rare factor values into separate group
optimal.factor.groupingOptimal factor cutoff (Beta)
set.missing.factors.to.NAReplace empty factor values with "NA"
set.missing.to.meanReplace numeric missing values with mean
set.missing.to.predictionPredict missing numeric values (beta)
set.missing.to.randomSet missing to random
set.missing.to.zeroReplace numeric missing values with zero
standardize.columnsStandardize columns
woe.applyApply WOE mapping to new data
konstantin-kotochigov/R_ml_utils documentation built on Oct. 18, 2017, 3:15 a.m.