org.apache.spark.mllib.util

Class DataValidators

Object

org.apache.spark.mllib.util.DataValidators

public class DataValidators
extends Object

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

Constructor Summary

Constructors

Constructor and Description
DataValidators()

Method Summary

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.
static scala.Function1<RDD<LabeledPoint>,Object>	multiLabelValidator(int k) Function to check if labels used for k class multi-label classification are in the range of {0, 1, ..., k - 1}.
static void	org$apache$spark$internal$Logging$$log__$eq(org.slf4j.Logger x$1)
static org.slf4j.Logger	org$apache$spark$internal$Logging$$log_()

Methods inherited from class Object

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

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.

multiLabelValidator

public static scala.Function1<RDD<LabeledPoint>,Object> multiLabelValidator(int k)

Function to check if labels used for k class multi-label classification are in the range of {0, 1, ..., k - 1}.

Parameters:

k - (undocumented)

Returns:

True if labels are all in the range of {0, 1, ..., k-1}, false otherwise.

org$apache$spark$internal$Logging$$log_

public static org.slf4j.Logger org$apache$spark$internal$Logging$$log_()

org$apache$spark$internal$Logging$$log__$eq

public static void org$apache$spark$internal$Logging$$log__$eq(org.slf4j.Logger x$1)