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.