|
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. |