Uses of Interface
moa.evaluation.LearningPerformanceEvaluator
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Packages that use LearningPerformanceEvaluator Package Description moa.evaluation moa.tasks -
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Uses of LearningPerformanceEvaluator in moa.evaluation
Subinterfaces of LearningPerformanceEvaluator in moa.evaluation Modifier and Type Interface Description interface
ALClassificationPerformanceEvaluator
Active Learning Evaluator Interface to make AL Evaluators selectable in AL tasks.interface
ClassificationPerformanceEvaluator
interface
MultiLabelPerformanceEvaluator
Interface implemented by learner evaluators to monitor the results of the regression learning process.interface
MultiTargetPerformanceEvaluator
Interface implemented by learner evaluators to monitor the results of the regression learning process.interface
RegressionPerformanceEvaluator
Interface implemented by learner evaluators to monitor the results of the regression learning process.Classes in moa.evaluation that implement LearningPerformanceEvaluator Modifier and Type Class Description class
AdwinClassificationPerformanceEvaluator
Classification evaluator that updates evaluation results using an adaptive sliding window.class
ALWindowClassificationPerformanceEvaluator
Active Learning Wrapper for BasicClassificationPerformanceEvaluator.class
BasicAUCImbalancedPerformanceEvaluator
Performance measures designed for class imbalance problems.class
BasicClassificationPerformanceEvaluator
Classification evaluator that performs basic incremental evaluation.class
BasicConceptDriftPerformanceEvaluator
class
BasicMultiLabelPerformanceEvaluator
Multilabel Window Classification Performance Evaluator.class
BasicMultiTargetPerformanceEvaluator
Regression evaluator that performs basic incremental evaluation.class
BasicMultiTargetPerformanceRelativeMeasuresEvaluator
Regression evaluator that performs basic incremental evaluation.class
BasicRegressionPerformanceEvaluator
Regression evaluator that performs basic incremental evaluation.class
EWMAClassificationPerformanceEvaluator
Classification evaluator that updates evaluation results using an Exponential Weighted Moving Average.class
FadingFactorClassificationPerformanceEvaluator
Classification evaluator that updates evaluation results using a fading factor.class
MultiTargetWindowRegressionPerformanceEvaluator
Multi-target regression evaluator that updates evaluation results using a sliding window.class
MultiTargetWindowRegressionPerformanceRelativeMeasuresEvaluator
Multi-target regression evaluator that updates evaluation results using a sliding window.class
WindowAUCImbalancedPerformanceEvaluator
Classification evaluator that updates evaluation results using a sliding window.class
WindowClassificationPerformanceEvaluator
Classification evaluator that updates evaluation results using a sliding window.class
WindowRegressionPerformanceEvaluator
Regression evaluator that updates evaluation results using a sliding window.Constructors in moa.evaluation with parameters of type LearningPerformanceEvaluator Constructor Description LearningEvaluation(Measurement[] evaluationMeasurements, LearningPerformanceEvaluator cpe, Learner model)
LearningEvaluation(LearningPerformanceEvaluator cpe, Learner model)
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Uses of LearningPerformanceEvaluator in moa.tasks
Methods in moa.tasks with parameters of type LearningPerformanceEvaluator Modifier and Type Method Description Measurement[]
EvaluatePrequentialCV. getEvaluationMeasurements(Measurement[] modelMeasurements, LearningPerformanceEvaluator[] subEvaluators)
Measurement[]
EvaluatePrequentialDelayedCV. getEvaluationMeasurements(Measurement[] modelMeasurements, LearningPerformanceEvaluator[] subEvaluators)
Constructors in moa.tasks with parameters of type LearningPerformanceEvaluator Constructor Description EvaluateModel(Classifier model, InstanceStream stream, LearningPerformanceEvaluator evaluator, int maxInstances)
EvaluateModelMultiLabel(Classifier model, InstanceStream stream, LearningPerformanceEvaluator evaluator, int maxInstances)
EvaluateModelMultiTarget(Classifier model, InstanceStream stream, LearningPerformanceEvaluator evaluator, int maxInstances)
EvaluateModelRegression(Classifier model, InstanceStream stream, LearningPerformanceEvaluator evaluator, int maxInstances)
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