Package weka.experiment
package weka.experiment
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ClassDescriptionTakes the results from a ResultProducer and submits the average to the result listener.A SplitEvaluator that produces results for a classification scheme on a nominal class attribute.Interface to something that can accept remote connections and execute a task.SplitEvaluator that produces results for a classification scheme on a nominal class attribute, including weighted misclassification costs.Generates for each run, carries out an n-fold cross-validation, using the set SplitEvaluator to generate some results.Takes results from a result producer and assembles them into comma separated value form.Takes results from a result producer and sends them to a database.Examines a database and extracts out the results produced by the specified ResultProducer and submits them to the specified ResultListener.DatabaseUtils provides utility functions for accessing the experiment database.A SplitEvaluator that produces results for a density based clusterer.Holds all the necessary configuration information for a standard type experiment.Convert the results of a database query into instances.Outputs the received results in arff format to a Writer.Tells a sub-ResultProducer to reproduce the current run for varying sized subsamples of the dataset.OutputZipper writes output to either gzipped files or to a multi entry zip file.Behaves the same as PairedTTester, only it uses the corrected resampled t-test statistic.A class for storing stats on a paired comparison (t-test and correlation)A class for storing stats on a paired comparison.Calculates T-Test statistics on data stored in a set of instances.Stores information on a property of an object: the class of the object with the property; the property descriptor, and the current value.Generates a single train/test split and calls the appropriate SplitEvaluator to generate some results.A SplitEvaluator that produces results for a classification scheme on a numeric class attribute.A general purpose server for executing Task objects sent via RMI.Holds all the necessary configuration information for a distributed experiment.Class encapsulating information on progress of a remote experimentInterface for classes that want to listen for updates on RemoteExperiment progressClass to encapsulate an experiment as a task that can be executed on a remote host.Interface for objects able to listen for results obtained by a ResultProducerThis matrix is a container for the datasets and classifier setups and their statistics.This matrix is a container for the datasets and classifier setups and their statistics.This matrix is a container for the datasets and classifier setups and their statistics.This matrix is a container for the datasets and classifier setups and their statistics.This matrix is a container for the datasets and classifier setups and their statistics.This matrix is a container for the datasets and classifier setups and their statistics.This matrix is a container for the datasets and classifier setups and their statistics.This interface defines the methods required for an object that produces results for different randomizations of a dataset.Interface to objects able to generate a fixed set of results for a particular split of a dataset.A class to store simple statisticsInterface to something that can be remotely executed as a task.A class holding information for tasks being executed on RemoteEngines.Interface for different kinds of Testers in the Experimenter.