org.apache.spark.ml.regression

Class DecisionTreeRegressionModel

Object

org.apache.spark.ml.PipelineStage

org.apache.spark.ml.Transformer

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

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

org.apache.spark.ml.regression.DecisionTreeRegressionModel

All Implemented Interfaces:

java.io.Serializable, Logging, Params

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

:: Experimental :: Decision tree model for regression. It supports both continuous and categorical features. param: rootNode Root of the decision tree

See Also:

Serialized Form

Method Summary

Methods

Modifier and Type	Method and Description
DecisionTreeRegressionModel	copy(ParamMap extra) Creates a copy of this instance with the same UID and some extra params.
static DecisionTreeRegressionModel	fromOld(DecisionTreeModel oldModel, DecisionTreeRegressor parent, scala.collection.immutable.Map<Object,Object> categoricalFeatures) (private[ml]) Convert a model from the old API
Node	rootNode()
String	toString()
String	uid()
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

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 Object

equals, getClass, hashCode, notify, notifyAll, wait, wait, wait

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

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

Method Detail

fromOld

public static DecisionTreeRegressionModel fromOld(DecisionTreeModel oldModel,
                                  DecisionTreeRegressor parent,
                                  scala.collection.immutable.Map<Object,Object> categoricalFeatures)

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

uid

public String uid()

rootNode

public Node rootNode()

copy

public DecisionTreeRegressionModel copy(ParamMap extra)

Description copied from interface: Params

Creates a copy of this instance with the same UID and some extra params. The default implementation tries to create a new instance with the same UID. Then it copies the embedded and extra parameters over and returns the new instance. Subclasses should override this method if the default approach is not sufficient.

Specified by:

copy in interface Params

Overrides:

copy in class Model<DecisionTreeRegressionModel>

Parameters:

extra - (undocumented)

Returns:

(undocumented)

toString

public String toString()

Overrides:

toString in class 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