| Package | Description |
|---|---|
| gov.sandia.cognition.learning.experiment |
Provides experiments for validating the performance of learning algorithms.
|
| Class and Description |
|---|
| AbstractLearningExperiment
The
AbstractLearningExperiment class implements the general
functionality of the LearningExperiment interface, which is mainly
the handling of listeners and firing of events. |
| AbstractValidationFoldExperiment
The
AbstractValidationFoldExperiment class implements a common way
of structuring an experiment around a ValidationFoldCreator object
where the fold creator is used to create each of the individual trials of
the experiment. |
| LearnerComparisonExperiment
The
LearnerComparisonExperiment compares the performance of two
machine learning algorithms to determine (using a statistical test) if the
two algorithms have significantly different performance. |
| LearnerComparisonExperiment.Result
Encapsulates the results of the comparison experiment.
|
| LearnerValidationExperiment
The
LearnerValidationExperiment class implements an experiment where
a supervised machine learning algorithm is evaluated by applying it to a set
of folds created from a given set of data. |
| LearningExperiment
The
LearningExperiment interface defines the general functionality
of an object that implements an experiment regarding machine learning
algorithms. |
| LearningExperimentListener
The
LearningExperimentListener interface defines the functionality
of an object that listens to events from a LearningExperiment. |
| ValidationFoldCreator
The
ValidationFoldCreator interface defines the functionality for
an object that can create a collection of folds for a validation experiment
where a set of data is split into training and testing sets multiple times. |