com.ibm.watson.discovery.v2.model

Class ClassifierModelEvaluation

java.lang.Object

com.ibm.cloud.sdk.core.service.model.GenericModel

com.ibm.watson.discovery.v2.model.ClassifierModelEvaluation

All Implemented Interfaces:

com.ibm.cloud.sdk.core.service.model.ObjectModel

public class ClassifierModelEvaluation
extends com.ibm.cloud.sdk.core.service.model.GenericModel

An object that contains information about a trained document classifier model.

Constructor Summary

Constructors

Constructor and Description
ClassifierModelEvaluation()

Method Summary

Modifier and Type	Method and Description
ModelEvaluationMacroAverage	getMacroAverage() Gets the macroAverage.
ModelEvaluationMicroAverage	getMicroAverage() Gets the microAverage.
List<PerClassModelEvaluation>	getPerClass() Gets the perClass.

Methods inherited from class com.ibm.cloud.sdk.core.service.model.GenericModel

equals, hashCode, toString

Methods inherited from class java.lang.Object

getClass, notify, notifyAll, wait, wait, wait

Constructor Detail

ClassifierModelEvaluation

public ClassifierModelEvaluation()

Method Detail

getMicroAverage

public ModelEvaluationMicroAverage getMicroAverage()

Gets the microAverage.

A micro-average aggregates the contributions of all classes to compute the average metric. Classes refers to the classification labels that are specified in the **answer_field**.

Returns:

the microAverage

getMacroAverage

public ModelEvaluationMacroAverage getMacroAverage()

Gets the macroAverage.

A macro-average computes metric independently for each class and then takes the average. Class refers to the classification label that is specified in the **answer_field**.

Returns:

the macroAverage

getPerClass

public List<PerClassModelEvaluation> getPerClass()

Gets the perClass.

An array of evaluation metrics, one set of metrics for each class, where class refers to the classification label that is specified in the **answer_field**.

Returns:

the perClass