org.apache.spark.ml.evaluation

Class MulticlassClassificationEvaluator

java.lang.Object

org.apache.spark.ml.evaluation.Evaluator

org.apache.spark.ml.evaluation.MulticlassClassificationEvaluator

All Implemented Interfaces:

java.io.Serializable, Params, Identifiable

public class MulticlassClassificationEvaluator
extends Evaluator

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

See Also:

Serialized Form

Constructor Summary

Constructors

Constructor and Description
MulticlassClassificationEvaluator()
MulticlassClassificationEvaluator(java.lang.String uid)

Method Summary

Methods

Modifier and Type	Method and Description
MulticlassClassificationEvaluator	copy(ParamMap extra) Creates a copy of this instance with the same UID and some extra params.
double	evaluate(DataFrame dataset) Evaluates the output.
java.lang.String	getMetricName()
boolean	isLargerBetter() Indicates whether the metric returned by evaluate() should be maximized (true, default) or minimized (false).
static MulticlassClassificationEvaluator	load(java.lang.String path)
Param<java.lang.String>	metricName() param for metric name in evaluation (supports "f1" (default), "precision", "recall", "weightedPrecision", "weightedRecall")
MulticlassClassificationEvaluator	setLabelCol(java.lang.String value)
MulticlassClassificationEvaluator	setMetricName(java.lang.String value)
MulticlassClassificationEvaluator	setPredictionCol(java.lang.String value)
java.lang.String	uid() An immutable unique ID for the object and its derivatives.

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

evaluate

Methods inherited from class java.lang.Object

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

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, validateParams

Methods inherited from interface org.apache.spark.ml.util.Identifiable

toString

Constructor Detail

MulticlassClassificationEvaluator

public MulticlassClassificationEvaluator(java.lang.String uid)

MulticlassClassificationEvaluator

public MulticlassClassificationEvaluator()

Method Detail

load

public static MulticlassClassificationEvaluator load(java.lang.String path)

uid

public java.lang.String uid()

Description copied from interface: Identifiable

An immutable unique ID for the object and its derivatives.

Returns:

(undocumented)

metricName

public Param<java.lang.String> metricName()

param for metric name in evaluation (supports "f1" (default), "precision", "recall", "weightedPrecision", "weightedRecall")

Returns:

(undocumented)

getMetricName

public java.lang.String getMetricName()

setMetricName

public MulticlassClassificationEvaluator setMetricName(java.lang.String value)

setPredictionCol

public MulticlassClassificationEvaluator setPredictionCol(java.lang.String value)

setLabelCol

public MulticlassClassificationEvaluator setLabelCol(java.lang.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

isLargerBetter

public boolean isLargerBetter()

Description copied from class: Evaluator

Indicates whether the metric returned by evaluate() should be maximized (true, default) or minimized (false). A given evaluator may support multiple metrics which may be maximized or minimized.

Overrides:

isLargerBetter in class Evaluator

Returns:

(undocumented)

copy

public MulticlassClassificationEvaluator 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.

Specified by:

copy in interface Params

Specified by:

copy in class Evaluator

Parameters:

extra - (undocumented)

Returns:

(undocumented)

See Also:

defaultCopy()