org.apache.spark.ml.classification

Class MultilayerPerceptronClassifier

Object

org.apache.spark.ml.PipelineStage

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

org.apache.spark.ml.Predictor<FeaturesType,E,M>

org.apache.spark.ml.classification.Classifier<FeaturesType,E,M>

org.apache.spark.ml.classification.ProbabilisticClassifier<Vector,MultilayerPerceptronClassifier,MultilayerPerceptronClassificationModel>

org.apache.spark.ml.classification.MultilayerPerceptronClassifier

All Implemented Interfaces:

java.io.Serializable, Logging, ClassifierParams, MultilayerPerceptronParams, ProbabilisticClassifierParams, Params, HasFeaturesCol, HasLabelCol, HasMaxIter, HasPredictionCol, HasProbabilityCol, HasRawPredictionCol, HasSeed, HasSolver, HasStepSize, HasThresholds, HasTol, PredictorParams, DefaultParamsWritable, Identifiable, MLWritable

public class MultilayerPerceptronClassifier
extends ProbabilisticClassifier<Vector,MultilayerPerceptronClassifier,MultilayerPerceptronClassificationModel>
implements MultilayerPerceptronParams, DefaultParamsWritable

Classifier trainer based on the Multilayer Perceptron. Each layer has sigmoid activation function, output layer has softmax. Number of inputs has to be equal to the size of feature vectors. Number of outputs has to be equal to the total number of labels.

See Also:

Serialized Form

Constructor Summary

Constructors

Constructor and Description
MultilayerPerceptronClassifier()
MultilayerPerceptronClassifier(String uid)

Method Summary

Modifier and Type	Method and Description
MultilayerPerceptronClassifier	copy(ParamMap extra) Creates a copy of this instance with the same UID and some extra params.
static MultilayerPerceptronClassifier	load(String path)
static MLReader<T>	read()
MultilayerPerceptronClassifier	setBlockSize(int value) Sets the value of param blockSize.
MultilayerPerceptronClassifier	setInitialWeights(Vector value) Sets the value of param initialWeights.
MultilayerPerceptronClassifier	setLayers(int[] value) Sets the value of param layers.
MultilayerPerceptronClassifier	setMaxIter(int value) Set the maximum number of iterations.
MultilayerPerceptronClassifier	setSeed(long value) Set the seed for weights initialization if weights are not set
MultilayerPerceptronClassifier	setSolver(String value) Sets the value of param solver.
MultilayerPerceptronClassifier	setStepSize(double value) Sets the value of param stepSize (applicable only for solver "gd").
MultilayerPerceptronClassifier	setTol(double value) Set the convergence tolerance of iterations.
String	uid() An immutable unique ID for the object and its derivatives.

Methods inherited from class org.apache.spark.ml.classification.ProbabilisticClassifier

setProbabilityCol, setThresholds

Methods inherited from class org.apache.spark.ml.classification.Classifier

setRawPredictionCol

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.classification.MultilayerPerceptronParams

blockSize, getBlockSize, getInitialWeights, getLayers, initialWeights, layers, solver

Methods inherited from interface org.apache.spark.ml.classification.ProbabilisticClassifierParams

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, 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.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

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.HasTol

getTol, tol

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

getStepSize, stepSize

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

getSolver

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

MultilayerPerceptronClassifier

public MultilayerPerceptronClassifier(String uid)

MultilayerPerceptronClassifier

public MultilayerPerceptronClassifier()

Method Detail

load

public static MultilayerPerceptronClassifier 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)

setLayers

public MultilayerPerceptronClassifier setLayers(int[] value)

Sets the value of param layers.

Parameters:

value - (undocumented)

Returns:

(undocumented)

setBlockSize

public MultilayerPerceptronClassifier setBlockSize(int value)

Sets the value of param blockSize. Default is 128.

Parameters:

value - (undocumented)

Returns:

(undocumented)

setSolver

public MultilayerPerceptronClassifier setSolver(String value)

Sets the value of param solver. Default is "l-bfgs".

Parameters:

value - (undocumented)

Returns:

(undocumented)

setMaxIter

public MultilayerPerceptronClassifier setMaxIter(int value)

Set the maximum number of iterations. Default is 100.

Parameters:

value - (undocumented)

Returns:

(undocumented)

setTol

public MultilayerPerceptronClassifier setTol(double value)

Set the convergence tolerance of iterations. Smaller value will lead to higher accuracy with the cost of more iterations. Default is 1E-6.

Parameters:

value - (undocumented)

Returns:

(undocumented)

setSeed

public MultilayerPerceptronClassifier setSeed(long value)

Set the seed for weights initialization if weights are not set

Parameters:

value - (undocumented)

Returns:

(undocumented)

setInitialWeights

public MultilayerPerceptronClassifier setInitialWeights(Vector value)

Sets the value of param initialWeights.

Parameters:

value - (undocumented)

Returns:

(undocumented)

setStepSize

public MultilayerPerceptronClassifier setStepSize(double value)

Sets the value of param stepSize (applicable only for solver "gd"). Default is 0.03.

Parameters:

value - (undocumented)

Returns:

(undocumented)

copy

public MultilayerPerceptronClassifier 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,MultilayerPerceptronClassifier,MultilayerPerceptronClassificationModel>

Parameters:

extra - (undocumented)

Returns:

(undocumented)