Package ai.libs.jaicore.ml.regression.loss.dataset

Class ARegressionMeasure

java.lang.Object

ai.libs.jaicore.ml.classification.loss.dataset.APredictionPerformanceMeasure<java.lang.Double,java.lang.Double>

ai.libs.jaicore.ml.regression.loss.dataset.ARegressionMeasure

All Implemented Interfaces:

org.api4.java.ai.ml.core.evaluation.supervised.loss.IDeterministicHomogeneousPredictionPerformanceMeasure<java.lang.Double>, org.api4.java.ai.ml.core.evaluation.supervised.loss.IDeterministicPredictionPerformanceMeasure<java.lang.Double,java.lang.Double>

Direct Known Subclasses:

MeanSquaredError, RootMeanSquaredError

public abstract class ARegressionMeasure
extends APredictionPerformanceMeasure<java.lang.Double,java.lang.Double>
implements org.api4.java.ai.ml.core.evaluation.supervised.loss.IDeterministicHomogeneousPredictionPerformanceMeasure<java.lang.Double>

Constructor Summary

Constructors

Constructor	Description
ARegressionMeasure()

Method Summary

Methods inherited from class ai.libs.jaicore.ml.classification.loss.dataset.APredictionPerformanceMeasure

averageInstanceWiseLoss, averageInstanceWiseScore, checkConsistency, loss, loss, score, score

Methods inherited from class java.lang.Object

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

Methods inherited from interface org.api4.java.ai.ml.core.evaluation.supervised.loss.IDeterministicPredictionPerformanceMeasure

loss, loss, score, score

Constructor Detail

ARegressionMeasure

public ARegressionMeasure()