| Package | Description |
|---|---|
| gov.sandia.cognition.learning.experiment |
Provides experiments for validating the performance of learning algorithms.
|
| Modifier and Type | Class and Description |
|---|---|
class |
LearnerComparisonExperiment<InputDataType,FoldDataType,LearnedType,StatisticType,SummaryType>
The
LearnerComparisonExperiment compares the performance of two
machine learning algorithms to determine (using a statistical test) if the
two algorithms have significantly different performance. |
class |
LearnerValidationExperiment<InputDataType,FoldDataType,LearnedType,StatisticType,SummaryType>
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. |
class |
ParallelLearnerValidationExperiment<InputDataType,FoldDataType,LearnedType,StatisticType,SummaryType>
Parallel version of the LearnerValidationExperiment class that executes
the validations experiments across available cores and hyperthreads.
|
class |
SupervisedLearnerComparisonExperiment<InputType,OutputType,StatisticType,SummaryType>
A comparison experiment for supervised learners.
|
class |
SupervisedLearnerValidationExperiment<InputType,OutputType,StatisticType,SummaryType>
The
SupervisedLearnerValidationExperiment class extends the
LearnerValidationExperiment class to provide a easy way to create
a learner validation experiment for supervised learning. |