Class ARegressionMeasure
- java.lang.Object
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- ai.libs.jaicore.ml.classification.loss.dataset.APredictionPerformanceMeasure<java.lang.Double,org.api4.java.ai.ml.regression.evaluation.IRegressionPrediction>
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- ai.libs.jaicore.ml.regression.loss.dataset.ARegressionMeasure
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- All Implemented Interfaces:
org.api4.java.ai.ml.core.evaluation.supervised.loss.IDeterministicPredictionPerformanceMeasure<java.lang.Double,org.api4.java.ai.ml.regression.evaluation.IRegressionPrediction>
- Direct Known Subclasses:
AbsoluteError,AsymmetricLoss,AsymmetricLoss2,AUnboundedRegressionMeasure,MeanAbsolutePercentageError,MeanAsymmetricLoss2,MeanPercentageError,MeanSquaredLogarithmicError,MeanSquaredPercentageError,R2,RootMeanSquaredError,RootMeanSquaredLogarithmError,SquaredError
public abstract class ARegressionMeasure extends APredictionPerformanceMeasure<java.lang.Double,org.api4.java.ai.ml.regression.evaluation.IRegressionPrediction> implements org.api4.java.ai.ml.core.evaluation.supervised.loss.IDeterministicPredictionPerformanceMeasure<java.lang.Double,org.api4.java.ai.ml.regression.evaluation.IRegressionPrediction>
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Constructor Summary
Constructors Constructor Description ARegressionMeasure()
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Method Summary
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Methods inherited from class ai.libs.jaicore.ml.classification.loss.dataset.APredictionPerformanceMeasure
averageInstanceWiseLoss, averageInstanceWiseScore, checkConsistency, loss, loss, score, score
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