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.
|