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    or more contributor license agreements.  See the NOTICE file
    distributed with this work for additional information
    regarding copyright ownership.  The ASF licenses this file
    to you under the Apache License, Version 2.0 (the
    "License"); you may not use this file except in compliance
    with the License.  You may obtain a copy of the License at

..    http://www.apache.org/licenses/LICENSE-2.0

..  Unless required by applicable law or agreed to in writing,
    software distributed under the License is distributed on an
    "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
    KIND, either express or implied.  See the License for the
    specific language governing permissions and limitations
    under the License.


GBTRegressionModel
========================================

.. currentmodule:: pyspark.ml.regression

.. autoclass:: GBTRegressionModel

    
      
    

    
    

    .. rubric:: Methods

    .. autosummary::
    
       ~GBTRegressionModel.clear
       ~GBTRegressionModel.copy
       ~GBTRegressionModel.evaluateEachIteration
       ~GBTRegressionModel.explainParam
       ~GBTRegressionModel.explainParams
       ~GBTRegressionModel.extractParamMap
       ~GBTRegressionModel.getCacheNodeIds
       ~GBTRegressionModel.getCheckpointInterval
       ~GBTRegressionModel.getFeatureSubsetStrategy
       ~GBTRegressionModel.getFeaturesCol
       ~GBTRegressionModel.getImpurity
       ~GBTRegressionModel.getLabelCol
       ~GBTRegressionModel.getLeafCol
       ~GBTRegressionModel.getLossType
       ~GBTRegressionModel.getMaxBins
       ~GBTRegressionModel.getMaxDepth
       ~GBTRegressionModel.getMaxIter
       ~GBTRegressionModel.getMaxMemoryInMB
       ~GBTRegressionModel.getMinInfoGain
       ~GBTRegressionModel.getMinInstancesPerNode
       ~GBTRegressionModel.getMinWeightFractionPerNode
       ~GBTRegressionModel.getOrDefault
       ~GBTRegressionModel.getParam
       ~GBTRegressionModel.getPredictionCol
       ~GBTRegressionModel.getSeed
       ~GBTRegressionModel.getStepSize
       ~GBTRegressionModel.getSubsamplingRate
       ~GBTRegressionModel.getValidationIndicatorCol
       ~GBTRegressionModel.getValidationTol
       ~GBTRegressionModel.getWeightCol
       ~GBTRegressionModel.hasDefault
       ~GBTRegressionModel.hasParam
       ~GBTRegressionModel.isDefined
       ~GBTRegressionModel.isSet
       ~GBTRegressionModel.load
       ~GBTRegressionModel.predict
       ~GBTRegressionModel.predictLeaf
       ~GBTRegressionModel.read
       ~GBTRegressionModel.save
       ~GBTRegressionModel.set
       ~GBTRegressionModel.setFeaturesCol
       ~GBTRegressionModel.setLeafCol
       ~GBTRegressionModel.setPredictionCol
       ~GBTRegressionModel.transform
       ~GBTRegressionModel.write

    
    

    
    

    .. rubric:: Attributes

    .. autosummary::
    
        
           ~GBTRegressionModel.cacheNodeIds
        
        
           ~GBTRegressionModel.checkpointInterval
        
        
           ~GBTRegressionModel.featureImportances
        
        
           ~GBTRegressionModel.featureSubsetStrategy
        
        
           ~GBTRegressionModel.featuresCol
        
        
           ~GBTRegressionModel.getNumTrees
        
        
           ~GBTRegressionModel.impurity
        
        
           ~GBTRegressionModel.labelCol
        
        
           ~GBTRegressionModel.leafCol
        
        
           ~GBTRegressionModel.lossType
        
        
           ~GBTRegressionModel.maxBins
        
        
           ~GBTRegressionModel.maxDepth
        
        
           ~GBTRegressionModel.maxIter
        
        
           ~GBTRegressionModel.maxMemoryInMB
        
        
           ~GBTRegressionModel.minInfoGain
        
        
           ~GBTRegressionModel.minInstancesPerNode
        
        
           ~GBTRegressionModel.minWeightFractionPerNode
        
        
           ~GBTRegressionModel.numFeatures
        
        
           ~GBTRegressionModel.params
        
        
           ~GBTRegressionModel.predictionCol
        
        
           ~GBTRegressionModel.seed
        
        
           ~GBTRegressionModel.stepSize
        
        
           ~GBTRegressionModel.subsamplingRate
        
        
           ~GBTRegressionModel.supportedFeatureSubsetStrategies
        
        
           ~GBTRegressionModel.supportedImpurities
        
        
           ~GBTRegressionModel.supportedLossTypes
        
        
           ~GBTRegressionModel.toDebugString
        
        
           ~GBTRegressionModel.totalNumNodes
        
        
           ~GBTRegressionModel.treeWeights
        
        
           ~GBTRegressionModel.trees
        
        
           ~GBTRegressionModel.validationIndicatorCol
        
        
           ~GBTRegressionModel.validationTol
        
        
           ~GBTRegressionModel.weightCol
        
        

    
    

    
    

    .. rubric:: Methods Documentation

    
    .. automethod:: clear
    .. automethod:: copy
    .. automethod:: evaluateEachIteration
    .. automethod:: explainParam
    .. automethod:: explainParams
    .. automethod:: extractParamMap
    .. automethod:: getCacheNodeIds
    .. automethod:: getCheckpointInterval
    .. automethod:: getFeatureSubsetStrategy
    .. automethod:: getFeaturesCol
    .. automethod:: getImpurity
    .. automethod:: getLabelCol
    .. automethod:: getLeafCol
    .. automethod:: getLossType
    .. automethod:: getMaxBins
    .. automethod:: getMaxDepth
    .. automethod:: getMaxIter
    .. automethod:: getMaxMemoryInMB
    .. automethod:: getMinInfoGain
    .. automethod:: getMinInstancesPerNode
    .. automethod:: getMinWeightFractionPerNode
    .. automethod:: getOrDefault
    .. automethod:: getParam
    .. automethod:: getPredictionCol
    .. automethod:: getSeed
    .. automethod:: getStepSize
    .. automethod:: getSubsamplingRate
    .. automethod:: getValidationIndicatorCol
    .. automethod:: getValidationTol
    .. automethod:: getWeightCol
    .. automethod:: hasDefault
    .. automethod:: hasParam
    .. automethod:: isDefined
    .. automethod:: isSet
    .. automethod:: load
    .. automethod:: predict
    .. automethod:: predictLeaf
    .. automethod:: read
    .. automethod:: save
    .. automethod:: set
    .. automethod:: setFeaturesCol
    .. automethod:: setLeafCol
    .. automethod:: setPredictionCol
    .. automethod:: transform
    .. automethod:: write

    
    

    
    

    .. rubric:: Attributes Documentation

    
    .. autoattribute:: cacheNodeIds
    .. autoattribute:: checkpointInterval
    .. autoattribute:: featureImportances
    .. autoattribute:: featureSubsetStrategy
    .. autoattribute:: featuresCol
    .. autoattribute:: getNumTrees
    .. autoattribute:: impurity
    .. autoattribute:: labelCol
    .. autoattribute:: leafCol
    .. autoattribute:: lossType
    .. autoattribute:: maxBins
    .. autoattribute:: maxDepth
    .. autoattribute:: maxIter
    .. autoattribute:: maxMemoryInMB
    .. autoattribute:: minInfoGain
    .. autoattribute:: minInstancesPerNode
    .. autoattribute:: minWeightFractionPerNode
    .. autoattribute:: numFeatures
    .. autoattribute:: params
    .. autoattribute:: predictionCol
    .. autoattribute:: seed
    .. autoattribute:: stepSize
    .. autoattribute:: subsamplingRate
    .. autoattribute:: supportedFeatureSubsetStrategies
    .. autoattribute:: supportedImpurities
    .. autoattribute:: supportedLossTypes
    .. autoattribute:: toDebugString
    .. autoattribute:: totalNumNodes
    .. autoattribute:: treeWeights
    .. autoattribute:: trees
    .. autoattribute:: validationIndicatorCol
    .. autoattribute:: validationTol
    .. autoattribute:: weightCol
    .. autoattribute:: uid