This function internally uses scikit-learn function LinearSVC through teradataml Open source ML functions.
Transformed DataFrame do not have features and rawPrediction columns. See Examples for more details.
Arguments
teradatamlspk Argument Name | Optional Source Function Argument Name | Notes |
---|---|---|
maxIter | max_iter | |
tol | tol | |
fitIntercept | fit_intercept | |
regParam | C | teradatamlspk supports int value (>1). Default value is 1.0. |
weightCol | classic_weight | |
standardization | Not yet available | |
threshold | Not yet available | |
aggregationDepth | Not yet available |
Attributes/Methods
Attribute/Method Name | Supported | Notes |
---|---|---|
clear | ||
copy | ||
explainParam | ||
explainParams | ||
extractParamMap | ||
fit | ||
fitMultiple | ||
getAggregationDepth | ||
getFeaturesCol | ||
getFitIntercept | ||
getLabelCol | ||
getMaxBlockSizeInMB | ||
getMaxIter | ||
getOrDefault | ||
getParam | ||
getPredictionCol | ||
getRawPrediction | ||
getRawPredictionCol | ||
getRegParam | ||
getStandardization | ||
getThreshold | ||
getTol | ||
getWeightCol | ||
hasDefault | ||
hasParam | ||
isDefined | ||
isSet | ||
load | ||
read | ||
save | ||
set | ||
setAggregationDepth | ||
setFeaturesCol | ||
setFitIntercept | ||
setLabelCol | ||
setMaxBlockSizeInMB | ||
setMaxIter | ||
setParams | ||
setStandardization | ||
setThreshold | ||
setTol | ||
setWeightCol | ||
write | ||
aggregationDepth | ||
featuresCol | ||
fitIntercept | ||
labelCol | ||
maxBlockSizeInMB | ||
maxIter | ||
params | ||
predictionCol | ||
rawPredictionCol | ||
regParam | ||
standardization | ||
threshold | ||
tol | ||
weightCol |