PySpark API Supportability Matrix | StandardScaler Function | pyspark2teradataml - StandardScaler - Teradata Vantage

Teradata® VantageCloud Lake

Deployment
VantageCloud
Edition
Lake
Product
Teradata Vantage
Published
January 2023
ft:locale
en-US
ft:lastEdition
2024-12-11
dita:mapPath
phg1621910019905.ditamap
dita:ditavalPath
pny1626732985837.ditaval
dita:id
phg1621910019905

Arguments

This function internally uses Analytics Database functions ScaleFit and ScaleTransform through teradataml Analytics Database functions.

The input dataset should have a column with name id which should have unique values.

outputCols is ignored. All the scaled columns will have same names as they have before.

PySpark Argument Name Open Source Function Argument Name Notes
withMean with_mean  
withStd with_std  

Attributes/Methods

Attribute/Method Name Supported Notes
clear  
copy  
explainParam  
explainParams  
extractParamMap  
fit  
fitMultiple  
getInputCol  
getOrDefault  
getParam  
getOutputCol  
getWithMean  
getWithStd  
hasDefault  
hasParam  
isDefined  
isSet  
load  
read  
save  
set  
setInputCol  
setOutputCol  
setParams  
setWithMean  
setWithStd  
write  
inputCol  
outputCol  
fitIntercept  
params  
withMean  
withStd