weka.experiment

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Java Source Code / Java Documentation » Science » weka » weka.experiment 
weka.experiment
Java Source File NameTypeComment
AveragingResultProducer.javaClass Takes the results from a ResultProducer and submits the average to the result listener.
ClassifierSplitEvaluator.javaClass A SplitEvaluator that produces results for a classification scheme on a nominal class attribute.

Valid options are:

 -W <class name>
 The full class name of the classifier.
 eg: weka.classifiers.bayes.NaiveBayes
 -C <index>
 The index of the class for which IR statistics
 are to be output.
Compute.javaInterface Interface to something that can accept remote connections and execute a task.
CostSensitiveClassifierSplitEvaluator.javaClass SplitEvaluator that produces results for a classification scheme on a nominal class attribute, including weighted misclassification costs.

Valid options are:

 -W <class name>
 The full class name of the classifier.
 eg: weka.classifiers.bayes.NaiveBayes
 -C <index>
 The index of the class for which IR statistics
 are to be output.
CrossValidationResultProducer.javaClass Generates for each run, carries out an n-fold cross-validation, using the set SplitEvaluator to generate some results.
CSVResultListener.javaClass Takes results from a result producer and assembles them into comma separated value form.

Valid options are:

 -O <file name>
 The filename where output will be stored.
DatabaseResultListener.javaClass Takes results from a result producer and sends them to a database.
DatabaseResultProducer.javaClass Examines a database and extracts out the results produced by the specified ResultProducer and submits them to the specified ResultListener.
DatabaseUtils.javaClass DatabaseUtils provides utility functions for accessing the experiment database.
Experiment.javaClass Holds all the necessary configuration information for a standard type experiment.
InstanceQuery.javaClass Convert the results of a database query into instances.
InstancesResultListener.javaClass Outputs the received results in arff format to a Writer.
LearningRateResultProducer.javaClass Tells a sub-ResultProducer to reproduce the current run for varying sized subsamples of the dataset.
OutputZipper.javaClass OutputZipper writes output to either gzipped files or to a multi entry zip file.
PairedCorrectedTTester.javaClass Behaves the same as PairedTTester, only it uses the corrected resampled t-test statistic.

For more information see:

Claude Nadeau, Yoshua Bengio (2001).

PairedStats.javaClass
PairedStatsCorrected.javaClass A class for storing stats on a paired comparison.
PairedTTester.javaClass Calculates T-Test statistics on data stored in a set of instances.
PropertyNode.javaClass Stores information on a property of an object: the class of the object with the property; the property descriptor, and the current value.
RandomSplitResultProducer.javaClass Generates a single train/test split and calls the appropriate SplitEvaluator to generate some results.

Valid options are:

 -P <percent>
 The percentage of instances to use for training.
 (default 66)
 -D
 Save raw split evaluator output.
 -O <file/directory name/path>
 The filename where raw output will be stored.
 If a directory name is specified then then individual
 outputs will be gzipped, otherwise all output will be
 zipped to the named file.
RegressionSplitEvaluator.javaClass A SplitEvaluator that produces results for a classification scheme on a numeric class attribute.
RemoteEngine.javaClass A general purpose server for executing Task objects sent via RMI.
RemoteExperiment.javaClass Holds all the necessary configuration information for a distributed experiment.
RemoteExperimentEvent.javaClass
RemoteExperimentListener.javaInterface
RemoteExperimentSubTask.javaClass Class to encapsulate an experiment as a task that can be executed on a remote host.
ResultListener.javaInterface
ResultMatrix.javaClass This matrix is a container for the datasets and classifier setups and their statistics.
ResultMatrixCSV.javaClass This matrix is a container for the datasets and classifier setups and their statistics.
ResultMatrixGnuPlot.javaClass This matrix is a container for the datasets and classifier setups and their statistics.
ResultMatrixHTML.javaClass This matrix is a container for the datasets and classifier setups and their statistics.
ResultMatrixLatex.javaClass This matrix is a container for the datasets and classifier setups and their statistics.
ResultMatrixPlainText.javaClass This matrix is a container for the datasets and classifier setups and their statistics.
ResultMatrixSignificance.javaClass This matrix is a container for the datasets and classifier setups and their statistics.
ResultProducer.javaInterface This interface defines the methods required for an object that produces results for different randomizations of a dataset.
SplitEvaluator.javaInterface Interface to objects able to generate a fixed set of results for a particular split of a dataset.
Stats.javaClass
Task.javaInterface Interface to something that can be remotely executed as a task.
TaskStatusInfo.javaClass A class holding information for tasks being executed on RemoteEngines.
Tester.javaInterface Interface for different kinds of Testers in the Experimenter.
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