This function internally uses scikit-learn function LinearSVC through teradataml Open source ML functions.
Transformed DataFrame do not have features and rawPrediction columns.
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 |