Package ai.libs.jaicore.ml.core.evaluation.evaluator

Class ConfigurationLearningCurveExtrapolationEvaluator

  • All Implemented Interfaces:
    org.api4.java.ai.ml.core.evaluation.ISupervisedLearnerEvaluator<org.api4.java.ai.ml.core.dataset.supervised.ILabeledInstance,​org.api4.java.ai.ml.core.dataset.supervised.ILabeledDataset<? extends org.api4.java.ai.ml.core.dataset.supervised.ILabeledInstance>>, org.api4.java.common.attributedobjects.IGetter<org.api4.java.ai.ml.core.learner.ISupervisedLearner<org.api4.java.ai.ml.core.dataset.supervised.ILabeledInstance,​org.api4.java.ai.ml.core.dataset.supervised.ILabeledDataset<? extends org.api4.java.ai.ml.core.dataset.supervised.ILabeledInstance>>,​java.lang.Double>, org.api4.java.common.attributedobjects.IObjectEvaluator<org.api4.java.ai.ml.core.learner.ISupervisedLearner<org.api4.java.ai.ml.core.dataset.supervised.ILabeledInstance,​org.api4.java.ai.ml.core.dataset.supervised.ILabeledDataset<? extends org.api4.java.ai.ml.core.dataset.supervised.ILabeledInstance>>,​java.lang.Double>
    public class ConfigurationLearningCurveExtrapolationEvaluator
extends java.lang.Object
implements org.api4.java.ai.ml.core.evaluation.ISupervisedLearnerEvaluator<org.api4.java.ai.ml.core.dataset.supervised.ILabeledInstance,​org.api4.java.ai.ml.core.dataset.supervised.ILabeledDataset<? extends org.api4.java.ai.ml.core.dataset.supervised.ILabeledInstance>>
    Predicts the accuracy of a classifier with certain configurations on a point of its learning curve, given some anchorpoint and its configurations using the LCNet of pybnn Note: This code was copied from LearningCurveExtrapolationEvaluator and slightly reworked

    • Constructor Summary

      Constructors 
      Constructor Description
      ConfigurationLearningCurveExtrapolationEvaluator​(int[] anchorpoints, ISamplingAlgorithmFactory<org.api4.java.ai.ml.core.dataset.supervised.ILabeledDataset<?>,​ASamplingAlgorithm<org.api4.java.ai.ml.core.dataset.supervised.ILabeledDataset<?>>> samplingAlgorithmFactory, org.api4.java.ai.ml.core.dataset.supervised.ILabeledDataset<?> dataset, double trainSplitForAnchorpointsMeasurement, long seed, java.lang.String identifier, double[] configurations)  

    • Method Summary

      All Methods Instance Methods Concrete Methods 
      Modifier and Type Method Description
      java.lang.Double evaluate​(org.api4.java.ai.ml.core.learner.ISupervisedLearner<org.api4.java.ai.ml.core.dataset.supervised.ILabeledInstance,​org.api4.java.ai.ml.core.dataset.supervised.ILabeledDataset<? extends org.api4.java.ai.ml.core.dataset.supervised.ILabeledInstance>> classifier)  
      void setFullDatasetSize​(int fullDatasetSize)  

      • 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.common.attributedobjects.IObjectEvaluator

        getPropertyOf

    • Constructor Detail

      • ConfigurationLearningCurveExtrapolationEvaluator

        public ConfigurationLearningCurveExtrapolationEvaluator​(int[] anchorpoints,
                                                        ISamplingAlgorithmFactory<org.api4.java.ai.ml.core.dataset.supervised.ILabeledDataset<?>,​ASamplingAlgorithm<org.api4.java.ai.ml.core.dataset.supervised.ILabeledDataset<?>>> samplingAlgorithmFactory,
                                                        org.api4.java.ai.ml.core.dataset.supervised.ILabeledDataset<?> dataset,
                                                        double trainSplitForAnchorpointsMeasurement,
                                                        long seed,
                                                        java.lang.String identifier,
                                                        double[] configurations)

    • Method Detail

      • setFullDatasetSize

        public void setFullDatasetSize​(int fullDatasetSize)

      • evaluate

        public java.lang.Double evaluate​(org.api4.java.ai.ml.core.learner.ISupervisedLearner<org.api4.java.ai.ml.core.dataset.supervised.ILabeledInstance,​org.api4.java.ai.ml.core.dataset.supervised.ILabeledDataset<? extends org.api4.java.ai.ml.core.dataset.supervised.ILabeledInstance>> classifier)
                          throws java.lang.InterruptedException,
                                 org.api4.java.common.attributedobjects.ObjectEvaluationFailedException
        Specified by:
        evaluate in interface org.api4.java.common.attributedobjects.IObjectEvaluator<org.api4.java.ai.ml.core.learner.ISupervisedLearner<org.api4.java.ai.ml.core.dataset.supervised.ILabeledInstance,​org.api4.java.ai.ml.core.dataset.supervised.ILabeledDataset<? extends org.api4.java.ai.ml.core.dataset.supervised.ILabeledInstance>>,​java.lang.Double>
        Throws:
        java.lang.InterruptedException
        org.api4.java.common.attributedobjects.ObjectEvaluationFailedException