| Interface | Description |
|---|---|
| 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 | Description |
|---|---|
| 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.
|