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Packages that use KNNClassificationConfig | |
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jcolibri.extensions.maintenance_evaluation | Classes to evaluate maintenance applications (implemented by Lisa Cummins). |
jcolibri.method.maintenance | Maintenance methods (implemented by Lisa Cummins & Derek Bridge). |
jcolibri.method.maintenance.algorithms | Maintenance algorithms. |
jcolibri.method.maintenance.solvesFunctions | Maintenance solves functions. |
jcolibri.method.revise.classification | Classification Revision methods (implemented by Lisa Cummins & Derek Bridge). |
jcolibri.test.test15 | This example shows how to evaluate a dataset at the same time with respect to its accuracy before and after maintenance. |
jcolibri.test.test16 | This test shows how to evaluate the textual similarity functions using classification. |
Uses of KNNClassificationConfig in jcolibri.extensions.maintenance_evaluation |
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Fields in jcolibri.extensions.maintenance_evaluation declared as KNNClassificationConfig | |
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protected KNNClassificationConfig |
MaintenanceEvaluator.simConfig
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Methods in jcolibri.extensions.maintenance_evaluation with parameters of type KNNClassificationConfig | |
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void |
MaintenanceEvaluator.init(StandardCBRApplication cbrApp,
AbstractCaseBaseEditMethod editMethod,
KNNClassificationConfig simConfig)
Initialise this evaluator with the CBR application to evaluate and the edit method and similarity configuration to perform maintenance. |
void |
MaintenanceEvaluator.setSimConfig(KNNClassificationConfig simConfig)
Sets the similarity configuration to be the given similarity configuration. |
Uses of KNNClassificationConfig in jcolibri.method.maintenance |
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Methods in jcolibri.method.maintenance with parameters of type KNNClassificationConfig | |
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void |
CompetenceModel.computeCompetenceModel(SolvesFunction solves,
KNNClassificationConfig knnConfig,
java.util.Collection<CBRCase> cases)
Computes the competence model for the given cases using the given solves function. |
void |
AbstractCaseBaseEditMethod.edit(CBRCaseBase caseBase,
KNNClassificationConfig simConfig)
Runs a case base editing algorithm on the given case base. |
java.util.Collection<CBRCase> |
TwoStepCaseBaseEditMethod.retrieveCasesToDelete(java.util.Collection<CBRCase> cases,
KNNClassificationConfig simConfig)
Runs alg1 followed by alg2 on the given cases and returns the cases deleted by the combined algorithms |
abstract java.util.Collection<CBRCase> |
AbstractCaseBaseEditMethod.retrieveCasesToDelete(java.util.Collection<CBRCase> cases,
KNNClassificationConfig simConfig)
Simulates a case base editing algorithm, returning the cases that would be deleted by the algorithm. |
abstract void |
SolvesFunction.setCasesThatSolveAndMisclassifyQ(CBRCase q,
java.util.Collection<CBRCase> cases,
KNNClassificationConfig knnConfig)
Sets the classes that both solve q or contribute to its misclassification |
Uses of KNNClassificationConfig in jcolibri.method.maintenance.algorithms |
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Methods in jcolibri.method.maintenance.algorithms with parameters of type KNNClassificationConfig | |
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java.util.Collection<CBRCase> |
RENNNoiseReduction.retrieveCasesToDelete(java.util.Collection<CBRCase> cases,
KNNClassificationConfig simConfig)
Simulates the RENN case base editing algorithm, returning the cases that would be deleted by the algorithm. |
java.util.Collection<CBRCase> |
RCRedundancyRemoval.retrieveCasesToDelete(java.util.Collection<CBRCase> cases,
KNNClassificationConfig simConfig)
Simulates the RC case base editing algorithm, returning the cases that would be deleted by the algorithm. |
java.util.Collection<CBRCase> |
ICFRedundancyRemoval.retrieveCasesToDelete(java.util.Collection<CBRCase> cases,
KNNClassificationConfig simConfig)
Simulates the ICF case base editing algorithm, returning the cases that would be deleted by the algorithm. |
java.util.List<CBRCase> |
CRRRedundancyRemoval.retrieveCasesToDelete(java.util.Collection<CBRCase> cases,
KNNClassificationConfig simConfig)
Simulates the CRR case base editing algorithm, returning the cases that would be deleted by the algorithm. |
java.util.LinkedList<CBRCase> |
BBNRNoiseReduction.retrieveCasesToDelete(java.util.Collection<CBRCase> cases,
KNNClassificationConfig simConfig)
Simulates the BBNR editing algorithm, returning the cases that would be deleted by the algorithm. |
Uses of KNNClassificationConfig in jcolibri.method.maintenance.solvesFunctions |
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Methods in jcolibri.method.maintenance.solvesFunctions with parameters of type KNNClassificationConfig | |
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void |
ICFSolvesFunction.setCasesThatSolveAndMisclassifyQ(CBRCase q,
java.util.Collection<CBRCase> cases,
KNNClassificationConfig knnConfig)
Sets the cases that both solve q or contribute to its misclassification. |
void |
CBESolvesFunction.setCasesThatSolveAndMisclassifyQ(CBRCase q,
java.util.Collection<CBRCase> cases,
KNNClassificationConfig knnConfig)
Sets the cases that either solve q or contribute to its misclassification. |
Uses of KNNClassificationConfig in jcolibri.method.revise.classification |
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Methods in jcolibri.method.revise.classification with parameters of type KNNClassificationConfig | |
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double |
ClassificationOracle.getPredictionCost(CBRQuery query,
CBRCaseBase caseBase,
KNNClassificationConfig knnConfig)
Calculates the cost of the prediction made by the given case-base and similarity configuration for the solution of the query. |
double |
BasicClassificationOracle.getPredictionCost(CBRQuery query,
CBRCaseBase caseBase,
KNNClassificationConfig knnConfig)
Calculates the cost of the prediction made by the given case-base and similarity configuration for the solution of the query. |
boolean |
ClassificationOracle.isCorrectPrediction(CBRQuery query,
CBRCaseBase caseBase,
KNNClassificationConfig knnConfig)
Checks if the query is correctly classified by the given case-base and similarity configuration. |
boolean |
BasicClassificationOracle.isCorrectPrediction(CBRQuery query,
CBRCaseBase caseBase,
KNNClassificationConfig knnConfig)
Checks if the query is correctly classified by the given case-base and similarity configuration. |
Uses of KNNClassificationConfig in jcolibri.test.test15 |
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Constructors in jcolibri.test.test15 with parameters of type KNNClassificationConfig | |
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IrisMaintainedEvaluableApp(KNNClassificationConfig irisSimConfig)
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Uses of KNNClassificationConfig in jcolibri.test.test16 |
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Methods in jcolibri.test.test16 that return KNNClassificationConfig | |
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KNNClassificationConfig |
SpamFilterApp.getKNNConfig()
Returns the KNN configuration |
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GAIA - Group for Artificial Intelligence Applications http://gaia.fdi.ucm.es |
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