org.apache.spark.mllib.classification

Class LogisticRegressionWithLBFGS

Object

org.apache.spark.mllib.regression.GeneralizedLinearAlgorithm<LogisticRegressionModel>

org.apache.spark.mllib.classification.LogisticRegressionWithLBFGS

All Implemented Interfaces:

java.io.Serializable, Logging

public class LogisticRegressionWithLBFGS
extends GeneralizedLinearAlgorithm<LogisticRegressionModel>
implements scala.Serializable

Train a classification model for Logistic Regression using Limited-memory BFGS. Standard feature scaling and L2 regularization are used by default. NOTE: Labels used in Logistic Regression should be {0, 1}

See Also:

Serialized Form

Constructor Summary

Constructors

Constructor and Description
LogisticRegressionWithLBFGS()

Method Summary

Methods

Modifier and Type	Method and Description
LBFGS	optimizer() The optimizer to solve the problem.

Methods inherited from class org.apache.spark.mllib.regression.GeneralizedLinearAlgorithm

run, run, setFeatureScaling, setIntercept, setValidateData

Methods inherited from class Object

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

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

LogisticRegressionWithLBFGS

public LogisticRegressionWithLBFGS()

Method Detail

optimizer

public LBFGS optimizer()

Description copied from class: GeneralizedLinearAlgorithm

The optimizer to solve the problem.

Specified by:

optimizer in class GeneralizedLinearAlgorithm<LogisticRegressionModel>