PySpark API Supportability Matrix | LinearRegression | pyspark2teradataml - LinearRegression - Teradata Package for Python

Teradata® pyspark2teradataml User Guide

Deployment
VantageCloud
VantageCore
Edition
Enterprise
IntelliFlex
VMware
Product
Teradata Package for Python
Release Number
20.00
Published
December 2024
ft:locale
en-US
ft:lastEdition
2024-12-18
dita:mapPath
oeg1710443196055.ditamap
dita:ditavalPath
ayr1485454803741.ditaval
dita:id
oeg1710443196055
Product Category
Teradata Vantage

Arguments

This function internally uses scikit-learn function LinearRegression through teradataml Open source ML functions.

Transformed data won’t have features column.

PySpark Argument Name Open Source Function Argument Name Notes
featuresCol Not yet available  
labelCol Not yet available  
predictionCol Not yet available  
maxIter Not yet available  
regParam Not yet available  
elasticNetParam Not yet available  
tol Not yet available  
fitIntercept fit_intercept  
standardization Not yet available  
solver Not yet available  
weightCol Not yet available  
aggregationDepth Not yet available  
loss Not yet available  
epsilon Not yet available  
maxBlockSizeInMB Not yet available  

Attributes/Methods

Attribute/Method Name Supported Notes
clear  
copy  
explainParam  
explainParams  
extractParamMap  
fit  
fitMultiple  
getAggregationDepth  
getElasticNetParam  
getEpsilon  
getFeaturesCol  
getFitIntercept  
getLabelCol  
getLoss  
getMaxBlockSizeInMB  
getMaxIter  
getOrDefault  
getParam  
getPredictionCol  
getRegParam  
getSolver  
getStandardization  
getThreshold  
getTol  
getWeightCol  
hasDefault  
hasParam  
isDefined  
isSet  
load  
read  
save  
set  
setAggregationDepth  
setElasticNetParam  
setEpsilon  
setFeaturesCol  
setFitIntercept  
setLabelCol  
setLoss  
setMaxBlockSizeInMB  
setMaxIter  
setParams  
setPredictionCol  
setRegParam  
setSolver  
setStandardization  
setTol  
setWeightCol  
write  
aggregationDepth  
elasticNetParam  
epsilon  
featuresCol  
fitIntercept  
labelCol  
loss  
maxBlockSizeInMB  
maxIter  
params  
predictionCol  
regParam  
solver  
standardization  
tol  
weightCol