weka.experiment

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## Package weka.experiment

Interface Summary
Compute | Interface to something that can accept remote connections and execute a task.
RemoteExperimentListener | Interface for classes that want to listen for updates on RemoteExperiment progress
ResultListener | Interface for objects able to listen for results obtained by a ResultProducer
ResultProducer | This interface defines the methods required for an object that produces results for different randomizations of a dataset.
SplitEvaluator | Interface to objects able to generate a fixed set of results for a particular split of a dataset.
Task | Interface to something that can be remotely executed as a task.
Tester | Interface for different kinds of Testers in the Experimenter.

Class Summary
AveragingResultProducer | Takes the results from a ResultProducer and submits the average to the result listener.
ClassifierSplitEvaluator | A SplitEvaluator that produces results for a classification scheme on a nominal class attribute.
CostSensitiveClassifierSplitEvaluator | SplitEvaluator that produces results for a classification scheme on a nominal class attribute, including weighted misclassification costs.
CrossValidationResultProducer | Generates for each run, carries out an n-fold cross-validation, using the set SplitEvaluator to generate some results.
CSVResultListener | Takes results from a result producer and assembles them into comma separated value form.
DatabaseResultListener | Takes results from a result producer and sends them to a database.
DatabaseResultProducer | Examines a database and extracts out the results produced by the specified ResultProducer and submits them to the specified ResultListener.
DatabaseUtils | DatabaseUtils provides utility functions for accessing the experiment database.
DensityBasedClustererSplitEvaluator | A SplitEvaluator that produces results for a density based clusterer.
Experiment | Holds all the necessary configuration information for a standard type experiment.
InstanceQuery | Convert the results of a database query into instances.
InstancesResultListener | Outputs the received results in arff format to a Writer.
LearningRateResultProducer | Tells a sub-ResultProducer to reproduce the current run for varying sized subsamples of the dataset.
OutputZipper | OutputZipper writes output to either gzipped files or to a multi entry zip file.
PairedCorrectedTTester | Behaves the same as PairedTTester, only it uses the corrected resampled t-test statistic. For more information see: Claude Nadeau, Yoshua Bengio (2001).
PairedStats | A class for storing stats on a paired comparison (t-test and correlation)
PairedStatsCorrected | A class for storing stats on a paired comparison.
PairedTTester | Calculates T-Test statistics on data stored in a set of instances.
PropertyNode | Stores information on a property of an object: the class of the object with the property; the property descriptor, and the current value.
RandomSplitResultProducer | Generates a single train/test split and calls the appropriate SplitEvaluator to generate some results.
RegressionSplitEvaluator | A SplitEvaluator that produces results for a classification scheme on a numeric class attribute.
RemoteEngine | A general purpose server for executing Task objects sent via RMI.
RemoteExperiment | Holds all the necessary configuration information for a distributed experiment.
RemoteExperimentEvent | Class encapsulating information on progress of a remote experiment
RemoteExperimentSubTask | Class to encapsulate an experiment as a task that can be executed on a remote host.
ResultMatrix | This matrix is a container for the datasets and classifier setups and their statistics.
ResultMatrixCSV | This matrix is a container for the datasets and classifier setups and their statistics.
ResultMatrixGnuPlot | This matrix is a container for the datasets and classifier setups and their statistics.
ResultMatrixHTML | This matrix is a container for the datasets and classifier setups and their statistics.
ResultMatrixLatex | This matrix is a container for the datasets and classifier setups and their statistics.
ResultMatrixPlainText | This matrix is a container for the datasets and classifier setups and their statistics.
ResultMatrixSignificance | This matrix is a container for the datasets and classifier setups and their statistics.
Stats | A class to store simple statistics
TaskStatusInfo | A class holding information for tasks being executed on RemoteEngines.

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