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.
|