org.apache.spark.ml.tree

Interface GBTClassifierParams

All Superinterfaces:

DecisionTreeParams, GBTParams, HasCheckpointInterval, HasFeaturesCol, HasLabelCol, HasMaxIter, HasPredictionCol, HasSeed, HasStepSize, HasValidationIndicatorCol, Identifiable, Params, PredictorParams, java.io.Serializable, TreeClassifierParams, TreeEnsembleParams

All Known Implementing Classes:

GBTClassificationModel, GBTClassifier

public interface GBTClassifierParams
extends GBTParams, TreeClassifierParams

Method Summary

Modifier and Type	Method and Description
String	getLossType()
ClassificationLoss	getOldLossType() (private[ml]) Convert new loss to old loss.
Param<String>	lossType() Loss function which GBT tries to minimize.

Methods inherited from interface org.apache.spark.ml.tree.GBTParams

getOldBoostingStrategy, getValidationTol, setMaxIter, setStepSize, stepSize, validationTol

Methods inherited from interface org.apache.spark.ml.tree.TreeEnsembleParams

featureSubsetStrategy, getFeatureSubsetStrategy, getOldStrategy, getSubsamplingRate, setFeatureSubsetStrategy, setSubsamplingRate, subsamplingRate

Methods inherited from interface org.apache.spark.ml.tree.DecisionTreeParams

cacheNodeIds, getCacheNodeIds, getMaxBins, getMaxDepth, getMaxMemoryInMB, getMinInfoGain, getMinInstancesPerNode, getOldStrategy, maxBins, maxDepth, maxMemoryInMB, minInfoGain, minInstancesPerNode, setCacheNodeIds, setCheckpointInterval, setMaxBins, setMaxDepth, setMaxMemoryInMB, setMinInfoGain, setMinInstancesPerNode, setSeed

Methods inherited from interface org.apache.spark.ml.PredictorParams

validateAndTransformSchema

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, 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.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.HasMaxIter

getMaxIter, maxIter

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

getStepSize

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

getValidationIndicatorCol, validationIndicatorCol

Methods inherited from interface org.apache.spark.ml.tree.TreeClassifierParams

getImpurity, getOldImpurity, impurity, setImpurity

Method Detail

lossType

Param<String> lossType()

Loss function which GBT tries to minimize. (case-insensitive) Supported: "logistic" (default = logistic)

Returns:

(undocumented)

getLossType

String getLossType()

getOldLossType

ClassificationLoss getOldLossType()

(private[ml]) Convert new loss to old loss.

Specified by:

getOldLossType in interface GBTParams