org.apache.spark.ml.regression

Class DecisionTreeRegressor

Object

org.apache.spark.ml.PipelineStage

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

org.apache.spark.ml.Predictor<Vector,DecisionTreeRegressor,DecisionTreeRegressionModel>

org.apache.spark.ml.regression.DecisionTreeRegressor

All Implemented Interfaces:

java.io.Serializable, Logging, Params, HasCheckpointInterval, HasFeaturesCol, HasLabelCol, HasPredictionCol, HasSeed, HasVarianceCol, PredictorParams, DecisionTreeParams, DecisionTreeRegressorParams, TreeRegressorParams, DefaultParamsWritable, Identifiable, MLWritable

public class DecisionTreeRegressor
extends Predictor<Vector,DecisionTreeRegressor,DecisionTreeRegressionModel>
implements DecisionTreeRegressorParams, DefaultParamsWritable

Decision tree learning algorithm for regression. It supports both continuous and categorical features.

See Also:

Serialized Form

Constructor Summary

Constructors

Constructor and Description
DecisionTreeRegressor()
DecisionTreeRegressor(String uid)

Method Summary

Modifier and Type	Method and Description
DecisionTreeRegressor	copy(ParamMap extra) Creates a copy of this instance with the same UID and some extra params.
static DecisionTreeRegressor	load(String path)
static MLReader<T>	read()
DecisionTreeRegressor	setCacheNodeIds(boolean value)
DecisionTreeRegressor	setCheckpointInterval(int value) Specifies how often to checkpoint the cached node IDs.
DecisionTreeRegressor	setImpurity(String value)
DecisionTreeRegressor	setMaxBins(int value)
DecisionTreeRegressor	setMaxDepth(int value)
DecisionTreeRegressor	setMaxMemoryInMB(int value)
DecisionTreeRegressor	setMinInfoGain(double value)
DecisionTreeRegressor	setMinInstancesPerNode(int value)
DecisionTreeRegressor	setSeed(long value)
DecisionTreeRegressor	setVarianceCol(String value)
static String[]	supportedImpurities() Accessor for supported impurities: variance
String	uid() An immutable unique ID for the object and its derivatives.

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

fit, setFeaturesCol, setLabelCol, setPredictionCol, transformSchema

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

fit, fit, fit, fit

Methods inherited from class Object

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

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

validateAndTransformSchema

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

cacheNodeIds, getCacheNodeIds, getMaxBins, getMaxDepth, getMaxMemoryInMB, getMinInfoGain, getMinInstancesPerNode, getOldStrategy, maxBins, maxDepth, maxMemoryInMB, minInfoGain, minInstancesPerNode

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, 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

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.tree.TreeRegressorParams

getImpurity, getOldImpurity, impurity

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

getVarianceCol, varianceCol

Methods inherited from interface org.apache.spark.ml.util.DefaultParamsWritable

write

Methods inherited from interface org.apache.spark.ml.util.MLWritable

save

Methods inherited from interface org.apache.spark.internal.Logging

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

Constructor Detail

DecisionTreeRegressor

public DecisionTreeRegressor(String uid)

DecisionTreeRegressor

public DecisionTreeRegressor()

Method Detail

supportedImpurities

public static final String[] supportedImpurities()

Accessor for supported impurities: variance

load

public static DecisionTreeRegressor load(String path)

read

public static MLReader<T> read()

uid

public 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)

setMaxDepth

public DecisionTreeRegressor setMaxDepth(int value)

Specified by:

setMaxDepth in interface DecisionTreeParams

Parameters:

value - (undocumented)

Returns:

(undocumented)

setMaxBins

public DecisionTreeRegressor setMaxBins(int value)

Specified by:

setMaxBins in interface DecisionTreeParams

Parameters:

value - (undocumented)

Returns:

(undocumented)

setMinInstancesPerNode

public DecisionTreeRegressor setMinInstancesPerNode(int value)

Specified by:

setMinInstancesPerNode in interface DecisionTreeParams

Parameters:

value - (undocumented)

Returns:

(undocumented)

setMinInfoGain

public DecisionTreeRegressor setMinInfoGain(double value)

Specified by:

setMinInfoGain in interface DecisionTreeParams

Parameters:

value - (undocumented)

Returns:

(undocumented)

setMaxMemoryInMB

public DecisionTreeRegressor setMaxMemoryInMB(int value)

Specified by:

setMaxMemoryInMB in interface DecisionTreeParams

Parameters:

value - (undocumented)

Returns:

(undocumented)

setCacheNodeIds

public DecisionTreeRegressor setCacheNodeIds(boolean value)

Specified by:

setCacheNodeIds in interface DecisionTreeParams

Parameters:

value - (undocumented)

Returns:

(undocumented)

setCheckpointInterval

public DecisionTreeRegressor setCheckpointInterval(int value)

Specifies how often to checkpoint the cached node IDs. E.g. 10 means that the cache will get checkpointed every 10 iterations. This is only used if cacheNodeIds is true and if the checkpoint directory is set in SparkContext. Must be at least 1. (default = 10)

Specified by:

setCheckpointInterval in interface DecisionTreeParams

Parameters:

value - (undocumented)

Returns:

(undocumented)

setImpurity

public DecisionTreeRegressor setImpurity(String value)

Specified by:

setImpurity in interface TreeRegressorParams

Parameters:

value - (undocumented)

Returns:

(undocumented)

setSeed

public DecisionTreeRegressor setSeed(long value)

Specified by:

setSeed in interface DecisionTreeParams

Parameters:

value - (undocumented)

Returns:

(undocumented)

setVarianceCol

public DecisionTreeRegressor setVarianceCol(String value)

copy

public DecisionTreeRegressor 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. See defaultCopy().

Specified by:

copy in interface Params

Specified by:

copy in class Predictor<Vector,DecisionTreeRegressor,DecisionTreeRegressionModel>

Parameters:

extra - (undocumented)

Returns:

(undocumented)