Package org.apache.spark.ml.tree
Interface TreeEnsembleRegressorParams
- All Superinterfaces:
DecisionTreeParams
,HasCheckpointInterval
,HasFeaturesCol
,HasLabelCol
,HasPredictionCol
,HasSeed
,HasWeightCol
,Identifiable
,Params
,PredictorParams
,Serializable
,TreeEnsembleParams
- All Known Subinterfaces:
GBTRegressorParams
,RandomForestRegressorParams
- All Known Implementing Classes:
GBTRegressionModel
,GBTRegressor
,RandomForestRegressionModel
,RandomForestRegressor
Parameters for Decision Tree-based ensemble regression algorithms.
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Method Summary
Modifier and TypeMethodDescriptionvalidateAndTransformSchema
(StructType schema, boolean fitting, DataType featuresDataType) Validates and transforms the input schema with the provided param map.Methods inherited from interface org.apache.spark.ml.tree.DecisionTreeParams
cacheNodeIds, getCacheNodeIds, getLeafCol, getMaxBins, getMaxDepth, getMaxMemoryInMB, getMinInfoGain, getMinInstancesPerNode, getMinWeightFractionPerNode, getOldStrategy, leafCol, maxBins, maxDepth, maxMemoryInMB, minInfoGain, minInstancesPerNode, minWeightFractionPerNode, setLeafCol
Methods inherited from interface org.apache.spark.ml.param.shared.HasCheckpointInterval
checkpointInterval, getCheckpointInterval
Methods inherited from interface org.apache.spark.ml.param.shared.HasFeaturesCol
featuresCol, getFeaturesCol
Methods inherited from interface org.apache.spark.ml.param.shared.HasLabelCol
getLabelCol, labelCol
Methods inherited from interface org.apache.spark.ml.param.shared.HasPredictionCol
getPredictionCol, predictionCol
Methods inherited from interface org.apache.spark.ml.param.shared.HasWeightCol
getWeightCol, weightCol
Methods inherited from interface org.apache.spark.ml.util.Identifiable
toString, uid
Methods inherited from interface org.apache.spark.ml.param.Params
clear, copy, copyValues, defaultCopy, defaultParamMap, explainParam, explainParams, extractParamMap, extractParamMap, get, getDefault, getOrDefault, getParam, hasDefault, hasParam, isDefined, isSet, onParamChange, paramMap, params, set, set, set, setDefault, setDefault, shouldOwn
Methods inherited from interface org.apache.spark.ml.tree.TreeEnsembleParams
featureSubsetStrategy, getFeatureSubsetStrategy, getOldStrategy, getSubsamplingRate, subsamplingRate
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Method Details
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validateAndTransformSchema
StructType validateAndTransformSchema(StructType schema, boolean fitting, DataType featuresDataType) Description copied from interface:PredictorParams
Validates and transforms the input schema with the provided param map.- Specified by:
validateAndTransformSchema
in interfacePredictorParams
- Parameters:
schema
- input schemafitting
- whether this is in fittingfeaturesDataType
- SQL DataType for FeaturesType. E.g.,VectorUDT
for vector features.- Returns:
- output schema
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