org.apache.spark.ml.evaluation

Class BinaryClassificationEvaluator

Object

org.apache.spark.ml.evaluation.Evaluator

org.apache.spark.ml.evaluation.BinaryClassificationEvaluator

All Implemented Interfaces:

java.io.Serializable, Params

public class BinaryClassificationEvaluator
extends Evaluator

:: Experimental :: Evaluator for binary classification, which expects two input columns: score and label.

See Also:

Serialized Form

Constructor Summary

Constructors

Constructor and Description
BinaryClassificationEvaluator()
BinaryClassificationEvaluator(String uid)

Method Summary

Methods

Modifier and Type	Method and Description
double	evaluate(DataFrame dataset) Evaluates the output.
String	getMetricName()
Param<String>	metricName() param for metric name in evaluation
BinaryClassificationEvaluator	setLabelCol(String value)
BinaryClassificationEvaluator	setMetricName(String value)
BinaryClassificationEvaluator	setScoreCol(String value)
String	uid()

Methods inherited from class org.apache.spark.ml.evaluation.Evaluator

copy, evaluate

Methods inherited from class Object

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

Methods inherited from interface org.apache.spark.ml.param.Params

clear, copyValues, defaultParamMap, explainParam, explainParams, extractParamMap, extractParamMap, get, getDefault, getOrDefault, getParam, hasDefault, hasParam, isDefined, isSet, paramMap, params, set, set, set, setDefault, setDefault, setDefault, shouldOwn, validateParams

Constructor Detail

BinaryClassificationEvaluator

public BinaryClassificationEvaluator(String uid)

BinaryClassificationEvaluator

public BinaryClassificationEvaluator()

Method Detail

uid

public String uid()

metricName

public Param<String> metricName()

param for metric name in evaluation

Returns:

(undocumented)

getMetricName

public String getMetricName()

setMetricName

public BinaryClassificationEvaluator setMetricName(String value)

setScoreCol

public BinaryClassificationEvaluator setScoreCol(String value)

setLabelCol

public BinaryClassificationEvaluator setLabelCol(String value)

evaluate

public double evaluate(DataFrame dataset)

Description copied from class: Evaluator

Evaluates the output.

Specified by:

evaluate in class Evaluator

Parameters:

dataset - a dataset that contains labels/observations and predictions.

Returns:

metric