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    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.


RandomForestRegressionModel
=================================================

.. currentmodule:: pyspark.ml.regression

.. autoclass:: RandomForestRegressionModel

    
      
    

    
    

    .. rubric:: Methods

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

    
    

    
    

    .. rubric:: Attributes

    .. autosummary::
    
        
           ~RandomForestRegressionModel.bootstrap
        
        
           ~RandomForestRegressionModel.cacheNodeIds
        
        
           ~RandomForestRegressionModel.checkpointInterval
        
        
           ~RandomForestRegressionModel.featureImportances
        
        
           ~RandomForestRegressionModel.featureSubsetStrategy
        
        
           ~RandomForestRegressionModel.featuresCol
        
        
           ~RandomForestRegressionModel.getNumTrees
        
        
           ~RandomForestRegressionModel.impurity
        
        
           ~RandomForestRegressionModel.labelCol
        
        
           ~RandomForestRegressionModel.leafCol
        
        
           ~RandomForestRegressionModel.maxBins
        
        
           ~RandomForestRegressionModel.maxDepth
        
        
           ~RandomForestRegressionModel.maxMemoryInMB
        
        
           ~RandomForestRegressionModel.minInfoGain
        
        
           ~RandomForestRegressionModel.minInstancesPerNode
        
        
           ~RandomForestRegressionModel.minWeightFractionPerNode
        
        
           ~RandomForestRegressionModel.numFeatures
        
        
           ~RandomForestRegressionModel.numTrees
        
        
           ~RandomForestRegressionModel.params
        
        
           ~RandomForestRegressionModel.predictionCol
        
        
           ~RandomForestRegressionModel.seed
        
        
           ~RandomForestRegressionModel.subsamplingRate
        
        
           ~RandomForestRegressionModel.supportedFeatureSubsetStrategies
        
        
           ~RandomForestRegressionModel.supportedImpurities
        
        
           ~RandomForestRegressionModel.toDebugString
        
        
           ~RandomForestRegressionModel.totalNumNodes
        
        
           ~RandomForestRegressionModel.treeWeights
        
        
           ~RandomForestRegressionModel.trees
        
        
           ~RandomForestRegressionModel.weightCol
        
        

    
    

    
    

    .. rubric:: Methods Documentation

    
    .. automethod:: clear
    .. automethod:: copy
    .. automethod:: explainParam
    .. automethod:: explainParams
    .. automethod:: extractParamMap
    .. automethod:: getBootstrap
    .. automethod:: getCacheNodeIds
    .. automethod:: getCheckpointInterval
    .. automethod:: getFeatureSubsetStrategy
    .. automethod:: getFeaturesCol
    .. automethod:: getImpurity
    .. automethod:: getLabelCol
    .. automethod:: getLeafCol
    .. automethod:: getMaxBins
    .. automethod:: getMaxDepth
    .. automethod:: getMaxMemoryInMB
    .. automethod:: getMinInfoGain
    .. automethod:: getMinInstancesPerNode
    .. automethod:: getMinWeightFractionPerNode
    .. automethod:: getOrDefault
    .. automethod:: getParam
    .. automethod:: getPredictionCol
    .. automethod:: getSeed
    .. automethod:: getSubsamplingRate
    .. 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:: bootstrap
    .. autoattribute:: cacheNodeIds
    .. autoattribute:: checkpointInterval
    .. autoattribute:: featureImportances
    .. autoattribute:: featureSubsetStrategy
    .. autoattribute:: featuresCol
    .. autoattribute:: getNumTrees
    .. autoattribute:: impurity
    .. autoattribute:: labelCol
    .. autoattribute:: leafCol
    .. autoattribute:: maxBins
    .. autoattribute:: maxDepth
    .. autoattribute:: maxMemoryInMB
    .. autoattribute:: minInfoGain
    .. autoattribute:: minInstancesPerNode
    .. autoattribute:: minWeightFractionPerNode
    .. autoattribute:: numFeatures
    .. autoattribute:: numTrees
    .. autoattribute:: params
    .. autoattribute:: predictionCol
    .. autoattribute:: seed
    .. autoattribute:: subsamplingRate
    .. autoattribute:: supportedFeatureSubsetStrategies
    .. autoattribute:: supportedImpurities
    .. autoattribute:: toDebugString
    .. autoattribute:: totalNumNodes
    .. autoattribute:: treeWeights
    .. autoattribute:: trees
    .. autoattribute:: weightCol
    .. autoattribute:: uid