AbstractTask |
Abstract Task.
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AuxiliarMainTask |
Abstract Auxiliar Main Task.
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CacheShuffledStream |
Task for storing and shuffling examples in memory.
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ClassificationMainTask |
Abstract Classification Main Task.
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ConceptDriftMainTask |
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EvaluateClustering |
Task for evaluating a clusterer on a stream.
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EvaluateConceptDrift |
Task for evaluating a classifier on a stream by testing then training with each example in sequence.
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EvaluateInterleavedChunks |
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EvaluateInterleavedTestThenTrain |
Task for evaluating a classifier on a stream by testing then training with each example in sequence.
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EvaluateModel |
Task for evaluating a static model on a stream.
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EvaluateModelMultiLabel |
Task for evaluating a static model on a stream.
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EvaluateModelMultiTarget |
Task for evaluating a static model on a stream.
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EvaluateModelRegression |
Task for evaluating a static model on a stream.
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EvaluateMultipleClusterings |
Task for evaluating a clusterer on multiple (related) streams.
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EvaluateOnlineRecommender |
Test for evaluating a recommender by training and periodically testing
on samples from a rating dataset.
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EvaluatePeriodicHeldOutTest |
Task for evaluating a classifier on a stream by periodically testing on a heldout set.
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EvaluatePrequential |
Task for evaluating a classifier on a stream by testing then training with each example in sequence.
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EvaluatePrequentialCV |
Task for prequential cross-validation evaluation of a classifier on a stream by testing then training with each
example in sequence and doing cross-validation at the same time.
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EvaluatePrequentialDelayed |
Task for evaluating a classifier on a delayed stream by testing and only
training with the example after k other examples (delayed labeling).
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EvaluatePrequentialDelayedCV |
Task for delayed cross-validation evaluation of a classifier on a
stream by testing and only training with the example after the arrival of
other k examples (delayed labeling).
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EvaluatePrequentialMultiLabel |
Task for evaluating a classifier on a stream by testing then training with each example in sequence.
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EvaluatePrequentialMultiTarget |
Task for evaluating a classifier on a stream by testing then training with each example in sequence.
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EvaluatePrequentialMultiTargetSemiSuper |
Multi-target Prequential semi-supervised evaluation
Phase1: Creates a initial model with of the instances in the dataset
Phase2: When an instance is received:
A binary random process with a binomial distribution selects if the instance should be
labeled or unlabeled with probability .
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EvaluatePrequentialRegression |
Task for evaluating a classifier on a stream by testing then training with each example in sequence.
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FailedTaskReport |
Class for reporting a failed task.
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FeatureImportanceConfig |
This class Provides GUI to user so that they can configure parameters for feature importance algorithm.
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LearnModel |
Task for learning a model without any evaluation.
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LearnModelMultiLabel |
Task for learning a model without any evaluation.
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LearnModelMultiTarget |
Task for learning a model without any evaluation.
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LearnModelRegression |
Task for learning a model without any evaluation.
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MainTask |
Abstract Main Task.
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MeasureStreamSpeed |
Task for measuring the speed of the stream.
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MultiLabelMainTask |
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MultiTargetMainTask |
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NullMonitor |
Class that represents a null monitor.
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Plot |
A task allowing to create and plot gnuplot scripts.
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RegressionMainTask |
Abstract Regression Main Task.
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RunStreamTasks |
Task for running several experiments modifying values of parameters.
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RunTasks |
Task for running several experiments modifying values of parameters.
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StandardTaskMonitor |
Class that represents a standard task monitor.
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TaskThread |
Task Thread.
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WriteConfigurationToJupyterNotebook |
Export the configuration of an training method form MOA to a IPYNB file
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WriteMultipleStreamsToARFF |
Task to output multiple streams to a ARFF files using different random seeds
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WriteStreamToARFFFile |
Task to output a stream to an ARFF file
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