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 |