| Interface | Description |
|---|---|
| ClassificationMethod |
Interface for all classification methods used in jRS library
|
| ClassificationResult |
Base interface of classification result
|
| ClassificationStatisticsCollector |
Collects data that concern classification.
|
| ClassificationStatisticsPresenter |
Allows to present results collected by
ClassificationStatisticsCollector |
| ClassificationStrategy |
Interface representing classification strategy.
|
| ComplexClassificationResult | |
| DRSAMethod |
DRSA classification method requires to know the preference type of
the decision attributed that is used for classification.
|
| MisclassificationMatrixContainer | |
| VCDRSAMethod |
VCDRSA classification method need to estimate a relationship measure
between the rules used for classification and the objects from the
learning data set.
|
| Class | Description |
|---|---|
| AllRulesVCDRSAClassificationMethod |
Classifies an example according to VC-DRSA classification method described in:
J.
|
| ClassificationResultsContainer |
Container with results of classification performed by any method
that inherits from
SimpleClassifier |
| ClassificationResultsFoldValidationContainer | |
| ClassificationResultsValidationContainer | |
| Classifier |
Generic classifier.
|
| Constants |
Class containing all necessary constants connected with VCModLEM algorithm.
|
| DRSACautiousClassificationCostResult |
Result of a cautious classification under the condition that the decision
criterion is of type cost.
|
| DRSACautiousClassificationGainResult |
Result of a cautious classification under the condition that the decision
criterion is of type gain.
|
| DRSACautiousClassificationResult | |
| DRSAClassificationMethod |
Implements classifcation by direct application of approximations of unions.
|
| DRSAClassificationResult |
Result of classification of a DRSA classifier.
|
| DRSAStandardClassificationResult |
Result of classification of a standard DRSA classifier.
|
| HybridClassifier |
Classifies an example according to DRSA classification method and if the
the result is ambigous reclassifies it according to VC-DRSA classification
method described in:
|
| MisclassificationMatrix |
Stores results of classifier misclassifications
|
| MissingValuesAction |
Class responsible for performing missing values action.
|
| RepeatedCrossValidationResultsContainer | |
| RoughSetClassificationMethod |
Implements classification by direct application of rough set approximations
of a given set.
|
| RulesClassificationMethod |
Base class for all rule-based classification methods used in jRS library
|
| RulesDRSAClassificationMethod |
DRSA classification method based on the idea of intersections of upward and
downward rules that cover example to be classified.
|
| RulesHybridClassificationMethod |
Classifies an example according to DRSA classification method and if the
the result is ambigous reclassifies it according to VC-DRSA classification
method described in:
|
| RulesVCDRSAClassificationMethod |
Classification method described in publication:
J.
|
| SimpleClassificationResult |
Base class to store classification result
|
| StrongRulesVCDRSAClassificationMethod |
Classifies objects according to VC-DRSA classification method described in:
J.
|
| VCDRSAClassificationResult |
Result of VC-DRSA classification.
|
| WekaClassificationMethod |
Wrapper for weka classification methods.
|
| WekaClassifier |
Wrapper for weka classification methods.
|
| WekaDistributionClassificationMethod |
Wrapper for weka classification methods.
|
| Exception | Description |
|---|---|
| InvalidNumberOfDecisions |
This exception is thrown when decision rule has more
decision suggestions than classification method expects.
|