org.apache.spark.mllib.util

Class DataValidators

Object

org.apache.spark.mllib.util.DataValidators

All Implemented Interfaces:

Logging

public class DataValidators
extends Object
implements Logging

:: DeveloperApi :: A collection of methods used to validate data before applying ML algorithms.

Constructor Summary

Constructors

Constructor and Description
DataValidators()

Method Summary

Methods

Modifier and Type	Method and Description
static scala.Function1<RDD<LabeledPoint>,Object>	binaryLabelValidator() Function to check if labels used for classification are either zero or one.

Methods inherited from class Object

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

Methods inherited from interface org.apache.spark.Logging

initialized, initializeIfNecessary, initializeLogging, initLock, isTraceEnabled, log_, log, logDebug, logDebug, logError, logError, logInfo, logInfo, logTrace, logTrace, logWarning, logWarning

Constructor Detail

DataValidators

public DataValidators()

Method Detail

binaryLabelValidator

public static scala.Function1<RDD<LabeledPoint>,Object> binaryLabelValidator()

Function to check if labels used for classification are either zero or one.

Returns:

True if labels are all zero or one, false otherwise.