org.apache.spark.ml.classification

Class GBTClassificationModel

java.lang.Object

org.apache.spark.ml.PipelineStage

org.apache.spark.ml.Transformer

org.apache.spark.ml.Model<M>

org.apache.spark.ml.PredictionModel<Vector,GBTClassificationModel>

org.apache.spark.ml.classification.GBTClassificationModel

All Implemented Interfaces:

java.io.Serializable, Logging, Params, Identifiable

public final class GBTClassificationModel
extends PredictionModel<Vector,GBTClassificationModel>
implements scala.Serializable

:: Experimental :: Gradient-Boosted Trees (GBTs) model for classification. It supports binary labels, as well as both continuous and categorical features. Note: Multiclass labels are not currently supported. param: _trees Decision trees in the ensemble. param: _treeWeights Weights for the decision trees in the ensemble.

See Also:

Serialized Form

Constructor Summary

Constructors

Constructor and Description
GBTClassificationModel(java.lang.String uid, DecisionTreeRegressionModel[] _trees, double[] _treeWeights)

Method Summary

Methods

Modifier and Type	Method and Description
GBTClassificationModel	copy(ParamMap extra) Creates a copy of this instance with the same UID and some extra params.
static GBTClassificationModel	fromOld(GradientBoostedTreesModel oldModel, GBTClassifier parent, scala.collection.immutable.Map<java.lang.Object,java.lang.Object> categoricalFeatures) (private[ml]) Convert a model from the old API
protected double	predict(Vector features) Predict label for the given features.
java.lang.String	toString()
protected DataFrame	transformImpl(DataFrame dataset)
org.apache.spark.ml.tree.DecisionTreeModel[]	trees()
double[]	treeWeights()
java.lang.String	uid() An immutable unique ID for the object and its derivatives.
StructType	validateAndTransformSchema(StructType schema, boolean fitting, DataType featuresDataType) Validates and transforms the input schema with the provided param map.

Methods inherited from class org.apache.spark.ml.PredictionModel

featuresDataType, setFeaturesCol, setPredictionCol, transform, transformSchema

Methods inherited from class org.apache.spark.ml.Model

hasParent, parent, setParent

Methods inherited from class org.apache.spark.ml.Transformer

transform, transform, transform

Methods inherited from class org.apache.spark.ml.PipelineStage

transformSchema

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, wait, wait, wait

Methods inherited from interface org.apache.spark.ml.param.Params

clear, copyValues, defaultCopy, defaultParamMap, explainParam, explainParams, extractParamMap, extractParamMap, get, getDefault, getOrDefault, getParam, hasDefault, hasParam, isDefined, isSet, paramMap, params, set, set, set, setDefault, setDefault, shouldOwn, validateParams

Methods inherited from interface org.apache.spark.Logging

initializeIfNecessary, initializeLogging, isTraceEnabled, log_, log, logDebug, logDebug, logError, logError, logInfo, logInfo, logName, logTrace, logTrace, logWarning, logWarning

Constructor Detail

GBTClassificationModel

public GBTClassificationModel(java.lang.String uid,
                      DecisionTreeRegressionModel[] _trees,
                      double[] _treeWeights)

Method Detail

fromOld

public static GBTClassificationModel fromOld(GradientBoostedTreesModel oldModel,
                             GBTClassifier parent,
                             scala.collection.immutable.Map<java.lang.Object,java.lang.Object> categoricalFeatures)

(private[ml]) Convert a model from the old API

uid

public java.lang.String uid()

Description copied from interface: Identifiable

An immutable unique ID for the object and its derivatives.

Specified by:

uid in interface Identifiable

Returns:

(undocumented)

trees

public org.apache.spark.ml.tree.DecisionTreeModel[] trees()

treeWeights

public double[] treeWeights()

transformImpl

protected DataFrame transformImpl(DataFrame dataset)

Overrides:

transformImpl in class PredictionModel<Vector,GBTClassificationModel>

predict

protected double predict(Vector features)

Description copied from class: PredictionModel

Predict label for the given features. This internal method is used to implement transform() and output predictionCol.

Specified by:

predict in class PredictionModel<Vector,GBTClassificationModel>

Parameters:

features - (undocumented)

Returns:

(undocumented)

copy

public GBTClassificationModel copy(ParamMap extra)

Description copied from interface: Params

Creates a copy of this instance with the same UID and some extra params. Subclasses should implement this method and set the return type properly.

Specified by:

copy in interface Params

Specified by:

copy in class Model<GBTClassificationModel>

Parameters:

extra - (undocumented)

Returns:

(undocumented)

See Also:

defaultCopy()

toString

public java.lang.String toString()

Specified by:

toString in interface Identifiable

Overrides:

toString in class java.lang.Object

validateAndTransformSchema

public StructType validateAndTransformSchema(StructType schema,
                                    boolean fitting,
                                    DataType featuresDataType)

Validates and transforms the input schema with the provided param map.

Parameters:

schema - input schema

fitting - whether this is in fitting

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

Returns:

output schema