Man pages for XanderHorn/lazy
Automated data pre-processing and machine learning

apply.categorical.interaction.mappingsApplies categorical interacion mappins
apply.categorical.mappingsApplies categorical mappings
apply.freq.mappingsApplies frequency mappings
apply.impute.mappingsApplies imputation mappings
apply.kmeans.mappingsApplies kmeans feature mappings
apply.max.scale.mappingsApply max scaler mappings
apply.numeric.interactionsCreates numeric interaction features
apply.outlier.mappingsApplies outlier mapping tables
automlAutomated machine learning
data.leakData leakage detection
date.featuresEngineers date and time features
de.duplicateDe-duplicate dataframe
describeTabular exploratory data analysis
design.pipelineDesign a pipeline for data pre-processing
detect.featsDetect feature types
documentDynamic documentation for pipeline settings
edaAutomated exploratory data analysis
explore.pipelinesMachine learning pipeline optimization
feature.importanceRandom forest feature importance
lazy.plotLazy ggplot plotting
lazy.predictPreprocess and predict wrapper
make.pipeline.gridCreate pipeline grid for optimization
map.categorical.encodingCategorical mapping tables
map.categorical.interactionsMaps categorical interaction combination frames
map.freq.encodingFrequency encoding
map.imputeImputation mappings
map.kmeans.featuresKmeans distance to center feature mappings
map.max.scalerMaximum value scaler
map.numeric.interactionsNumeric feature interactions
map.outliersCreates mapping tables for detecting outlier values in...
numeric.transformersNumeric feature transformations
pre.processPre-processing of data
quick.formatMinor feature class changes
text.featuresCreates engineered features from text features
time.partitionCreate time sensitive partitions
XanderHorn/lazy documentation built on Sept. 24, 2019, 3:56 p.m.