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RandomForestClassifier ================================================ .. currentmodule:: pyspark.ml.classification .. autoclass:: RandomForestClassifier .. rubric:: Methods .. autosummary:: ~RandomForestClassifier.clear ~RandomForestClassifier.copy ~RandomForestClassifier.explainParam ~RandomForestClassifier.explainParams ~RandomForestClassifier.extractParamMap ~RandomForestClassifier.fit ~RandomForestClassifier.fitMultiple ~RandomForestClassifier.getBootstrap ~RandomForestClassifier.getCacheNodeIds ~RandomForestClassifier.getCheckpointInterval ~RandomForestClassifier.getFeatureSubsetStrategy ~RandomForestClassifier.getFeaturesCol ~RandomForestClassifier.getImpurity ~RandomForestClassifier.getLabelCol ~RandomForestClassifier.getLeafCol ~RandomForestClassifier.getMaxBins ~RandomForestClassifier.getMaxDepth ~RandomForestClassifier.getMaxMemoryInMB ~RandomForestClassifier.getMinInfoGain ~RandomForestClassifier.getMinInstancesPerNode ~RandomForestClassifier.getMinWeightFractionPerNode ~RandomForestClassifier.getNumTrees ~RandomForestClassifier.getOrDefault ~RandomForestClassifier.getParam ~RandomForestClassifier.getPredictionCol ~RandomForestClassifier.getProbabilityCol ~RandomForestClassifier.getRawPredictionCol ~RandomForestClassifier.getSeed ~RandomForestClassifier.getSubsamplingRate ~RandomForestClassifier.getThresholds ~RandomForestClassifier.getWeightCol ~RandomForestClassifier.hasDefault ~RandomForestClassifier.hasParam ~RandomForestClassifier.isDefined ~RandomForestClassifier.isSet ~RandomForestClassifier.load ~RandomForestClassifier.read ~RandomForestClassifier.save ~RandomForestClassifier.set ~RandomForestClassifier.setBootstrap ~RandomForestClassifier.setCacheNodeIds ~RandomForestClassifier.setCheckpointInterval ~RandomForestClassifier.setFeatureSubsetStrategy ~RandomForestClassifier.setFeaturesCol ~RandomForestClassifier.setImpurity ~RandomForestClassifier.setLabelCol ~RandomForestClassifier.setLeafCol ~RandomForestClassifier.setMaxBins ~RandomForestClassifier.setMaxDepth ~RandomForestClassifier.setMaxMemoryInMB ~RandomForestClassifier.setMinInfoGain ~RandomForestClassifier.setMinInstancesPerNode ~RandomForestClassifier.setMinWeightFractionPerNode ~RandomForestClassifier.setNumTrees ~RandomForestClassifier.setParams ~RandomForestClassifier.setPredictionCol ~RandomForestClassifier.setProbabilityCol ~RandomForestClassifier.setRawPredictionCol ~RandomForestClassifier.setSeed ~RandomForestClassifier.setSubsamplingRate ~RandomForestClassifier.setThresholds ~RandomForestClassifier.setWeightCol ~RandomForestClassifier.write .. rubric:: Attributes .. autosummary:: ~RandomForestClassifier.bootstrap ~RandomForestClassifier.cacheNodeIds ~RandomForestClassifier.checkpointInterval ~RandomForestClassifier.featureSubsetStrategy ~RandomForestClassifier.featuresCol ~RandomForestClassifier.impurity ~RandomForestClassifier.labelCol ~RandomForestClassifier.leafCol ~RandomForestClassifier.maxBins ~RandomForestClassifier.maxDepth ~RandomForestClassifier.maxMemoryInMB ~RandomForestClassifier.minInfoGain ~RandomForestClassifier.minInstancesPerNode ~RandomForestClassifier.minWeightFractionPerNode ~RandomForestClassifier.numTrees ~RandomForestClassifier.params ~RandomForestClassifier.predictionCol ~RandomForestClassifier.probabilityCol ~RandomForestClassifier.rawPredictionCol ~RandomForestClassifier.seed ~RandomForestClassifier.subsamplingRate ~RandomForestClassifier.supportedFeatureSubsetStrategies ~RandomForestClassifier.supportedImpurities ~RandomForestClassifier.thresholds ~RandomForestClassifier.weightCol .. rubric:: Methods Documentation .. automethod:: clear .. automethod:: copy .. automethod:: explainParam .. automethod:: explainParams .. automethod:: extractParamMap .. automethod:: fit .. automethod:: fitMultiple .. 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:: getNumTrees .. automethod:: getOrDefault .. automethod:: getParam .. automethod:: getPredictionCol .. automethod:: getProbabilityCol .. automethod:: getRawPredictionCol .. automethod:: getSeed .. automethod:: getSubsamplingRate .. automethod:: getThresholds .. automethod:: getWeightCol .. automethod:: hasDefault .. automethod:: hasParam .. automethod:: isDefined .. automethod:: isSet .. automethod:: load .. automethod:: read .. automethod:: save .. automethod:: set .. automethod:: setBootstrap .. automethod:: setCacheNodeIds .. automethod:: setCheckpointInterval .. automethod:: setFeatureSubsetStrategy .. automethod:: setFeaturesCol .. automethod:: setImpurity .. automethod:: setLabelCol .. automethod:: setLeafCol .. automethod:: setMaxBins .. automethod:: setMaxDepth .. automethod:: setMaxMemoryInMB .. automethod:: setMinInfoGain .. automethod:: setMinInstancesPerNode .. automethod:: setMinWeightFractionPerNode .. automethod:: setNumTrees .. automethod:: setParams .. automethod:: setPredictionCol .. automethod:: setProbabilityCol .. automethod:: setRawPredictionCol .. automethod:: setSeed .. automethod:: setSubsamplingRate .. automethod:: setThresholds .. automethod:: setWeightCol .. automethod:: write .. rubric:: Attributes Documentation .. autoattribute:: bootstrap .. autoattribute:: cacheNodeIds .. autoattribute:: checkpointInterval .. autoattribute:: featureSubsetStrategy .. autoattribute:: featuresCol .. autoattribute:: impurity .. autoattribute:: labelCol .. autoattribute:: leafCol .. autoattribute:: maxBins .. autoattribute:: maxDepth .. autoattribute:: maxMemoryInMB .. autoattribute:: minInfoGain .. autoattribute:: minInstancesPerNode .. autoattribute:: minWeightFractionPerNode .. autoattribute:: numTrees .. autoattribute:: params .. autoattribute:: predictionCol .. autoattribute:: probabilityCol .. autoattribute:: rawPredictionCol .. autoattribute:: seed .. autoattribute:: subsamplingRate .. autoattribute:: supportedFeatureSubsetStrategies .. autoattribute:: supportedImpurities .. autoattribute:: thresholds .. autoattribute:: weightCol .. autoattribute:: uid