Arguments
This function internally uses regular Dataframe manipulation through teradataml.
outputCol is ignored. All the scaled columns will have same names as they have before.
Only scaled columns will be listed; the remaining columns won’t be present in transformed data.
PySpark Argument Name | Open Source Function Argument Name | Notes |
---|---|---|
featuresCol | Not yet available. | Features columns should be passed as a list. VectorAssembler won’t work to merge multiple columns and pass them as features during fit. |
outputCol | Not yet available. | Argument is ignored. Transformed DF will contain the column whose variance is greater than the threshold. |
varianceThreshold | threshold |
Attributes/Methods
Attribute/Method Name | Supported | Notes |
---|---|---|
clear | ||
copy | ||
explainParam | ||
explainParams | ||
extractParamMap | ||
fit | ||
fitMultiple | ||
getFeaturesCol | ||
getOrDefault | ||
getOutputCol | ||
getParam | ||
getVarianceThreshold | ||
hasDefault | ||
hasParam | ||
isDefined | ||
isSet | ||
load | ||
read | ||
save | ||
set | ||
setFeaturesCol | ||
setOutputCol | ||
setParams | ||
setVarianceThreshold | ||
write | ||
featuresCol | ||
outputCol | ||
params | ||
varianceThreshold |