public interface LinearRegressionParams extends PredictorParams, HasRegParam, HasElasticNetParam, HasMaxIter, HasTol, HasFitIntercept, HasStandardization, HasWeightCol, HasSolver, HasAggregationDepth, HasLoss, HasMaxBlockSizeInMB
| Modifier and Type | Method and Description |
|---|---|
DoubleParam |
epsilon()
The shape parameter to control the amount of robustness.
|
double |
getEpsilon() |
Param<String> |
loss()
The loss function to be optimized.
|
Param<String> |
solver()
The solver algorithm for optimization.
|
StructType |
validateAndTransformSchema(StructType schema,
boolean fitting,
DataType featuresDataType)
Validates and transforms the input schema with the provided param map.
|
extractInstances, extractInstancesgetLabelCol, labelColfeaturesCol, getFeaturesColgetPredictionCol, predictionColclear, copy, copyValues, defaultCopy, defaultParamMap, explainParam, explainParams, extractParamMap, extractParamMap, get, getDefault, getOrDefault, getParam, hasDefault, hasParam, isDefined, isSet, paramMap, params, set, set, set, setDefault, setDefault, shouldOwntoString, uidgetRegParam, regParamelasticNetParam, getElasticNetParamgetMaxIter, maxIterfitIntercept, getFitInterceptgetStandardization, standardizationgetWeightCol, weightColaggregationDepth, getAggregationDepthgetMaxBlockSizeInMB, maxBlockSizeInMBDoubleParam epsilon()
double getEpsilon()
Param<String> loss()
Param<String> solver()
StructType validateAndTransformSchema(StructType schema, boolean fitting, DataType featuresDataType)
PredictorParamsvalidateAndTransformSchema in interface PredictorParamsschema - input schemafitting - whether this is in fittingfeaturesDataType - SQL DataType for FeaturesType.
E.g., VectorUDT for vector features.