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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.

Class Summary
AveragingResultProducer | 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 | A 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 | CSVResultListener outputs the received results in csv format to a Writer
DatabaseResultListener | DatabaseResultListener takes the results from a ResultProducer and submits them to a central database.
DatabaseResultProducer | 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.
Experiment | Holds all the necessary configuration information for a standard type experiment.
InstanceQuery | Convert the results of a database query into instances.
InstancesResultListener | InstancesResultListener outputs the received results in arff format to a Writer.
LearningRateResultProducer | LearningRateResultProducer takes the results from a ResultProducer and submits the average to the result listener.
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.
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.
Stats | A class to store simple statistics
TaskStatusInfo | A class holding information for tasks being executed on RemoteEngines.

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