org.apache.spark.ml.tree

Interface TreeEnsembleClassifierParams

All Superinterfaces:

ClassifierParams, DecisionTreeParams, HasCheckpointInterval, HasFeaturesCol, HasLabelCol, HasPredictionCol, HasProbabilityCol, HasRawPredictionCol, HasSeed, HasThresholds, HasWeightCol, Identifiable, Params, PredictorParams, ProbabilisticClassifierParams, java.io.Serializable, TreeEnsembleParams

All Known Subinterfaces:

GBTClassifierParams, RandomForestClassifierParams

All Known Implementing Classes:

GBTClassificationModel, GBTClassifier, RandomForestClassificationModel, RandomForestClassifier

public interface TreeEnsembleClassifierParams
extends TreeEnsembleParams, ProbabilisticClassifierParams

Parameters for Decision Tree-based ensemble classification algorithms.

Method Summary

Modifier and Type	Method and Description
StructType	validateAndTransformSchema(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.TreeEnsembleParams

featureSubsetStrategy, getFeatureSubsetStrategy, getOldStrategy, getSubsamplingRate, subsamplingRate

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.HasSeed

getSeed, seed

Methods inherited from interface org.apache.spark.ml.param.shared.HasWeightCol

getWeightCol, weightCol

Methods inherited from interface org.apache.spark.ml.param.shared.HasLabelCol

getLabelCol, labelCol

Methods inherited from interface org.apache.spark.ml.param.shared.HasFeaturesCol

featuresCol, getFeaturesCol

Methods inherited from interface org.apache.spark.ml.param.shared.HasPredictionCol

getPredictionCol, predictionCol

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.util.Identifiable

toString, uid

Methods inherited from interface org.apache.spark.ml.param.shared.HasRawPredictionCol

getRawPredictionCol, rawPredictionCol

Methods inherited from interface org.apache.spark.ml.param.shared.HasProbabilityCol

getProbabilityCol, probabilityCol

Methods inherited from interface org.apache.spark.ml.param.shared.HasThresholds

getThresholds, thresholds

Method Detail

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 interface ClassifierParams

Specified by:

validateAndTransformSchema in interface PredictorParams

Specified by:

validateAndTransformSchema in interface ProbabilisticClassifierParams

Parameters:

schema - input schema

fitting - whether this is in fitting

featuresDataType - SQL DataType for FeaturesType. E.g., VectorUDT for vector features.

Returns:

output schema