Arguments
This function internally uses scikit-learn function IsotonicRegression through teradataml Open source ML functions.
It only supports a single column as featuresCol for fit.
Transformed data won’t have features column.
PySpark Argument Name | Open Source Function Argument Name | Notes |
---|---|---|
predictionCol | Not yet available. | |
weightCol | Not yet available. | |
isotonic | increasing | |
featureIndex | Not yet available. |
Attributes/Methods
Attribute/Method Name | Supported | Notes |
---|---|---|
clear | ||
copy | ||
explainParam | ||
explainParams | ||
extractParamMap | ||
fit | It only supports single column as featuresCol. | |
fitMultiple | ||
getFeatureIndex | ||
getFeaturesCol | ||
getIsotonic | ||
getLabelCol | ||
getOrDefault | ||
getParam | ||
getPredictionCol | ||
hasDefault | ||
hasParam | ||
isDefined | ||
isSet | ||
load | ||
read | ||
save | ||
set | ||
setFeatureIndex | ||
setFeaturesCol | ||
setIsotonic | ||
setLabelCol | ||
setParams | ||
setPredictionCol | ||
setWeightCol | ||
write | ||
featureIndex | ||
featuresCol | ||
isotonic | ||
labelCol | ||
params | ||
weightCol |