Uses of Interface
classifier.Classifier

Packages that use Classifier
classifier   
startup   
util.featureSelection   
 

Uses of Classifier in classifier
 

Classes in classifier that implement Classifier
 class WekaSVM
          This class represents the implementation of the classifier interface, suited to be used with the SMO (SVM) implementation of the WEKA(TM) machine learning library.
 

Uses of Classifier in startup
 

Methods in startup that return Classifier
 Classifier ClassificationAction.build_model()
          Method which creates a classification model for the current type of supplied training data.
 Classifier ClassificationAction.chooseClassifier(ClassificationAction.CLASSIFIERS cl)
          This method creates the right classifier implementation that implements the Classifier interface, according to the chosen enumeration.
 Classifier ClassificationAction.load_model()
          This method loads a precomputed classification model into memory.
 

Methods in startup with parameters of type Classifier
 void ClassificationAction.evaluate_model(Classifier classifier)
          Evaluate the content of sequence files with the supplied classifier (and accompagnied classification model).
 java.io.File ClassificationAction.extractAndClassify(java.lang.String sequence, Classifier classifier, java.util.List<java.lang.Integer> sites, java.util.List<java.lang.Integer> output_sites, java.lang.String clas_name, java.lang.String fileName, int increase, int increase_output)
          This method extracts features around functional sites in a sequence, and then uses the provided classifier to classify that particular functional site.
 void ClassificationAction.extractAndEvaluateData(java.io.File file, Classifier classifier, int index)
          Evaluate the content of a specific file with the supplied classification model.
 void ClassificationAction.extractFeaturesFromTrainingData(Classifier classifier)
          This method extracts the necessary features in order to train a classifier with these features.
 java.io.File ClassificationAction.getFeaturesTrainingData(java.lang.String fileName, java.util.List<java.lang.String> sequences, SecondaryStructureData ssData, Classifier classifier, Classifier.DATA_TYPE data_type)
          This method extracts the features from a trainingfile (positive/negative), and stores the extracted features into the feature_output_file.
 void ClassificationAction.perform_crossvalidation(Classifier classifier, java.io.File featureFile, java.util.List<RocCurveData> rocCurveDataNames, CrossValidationOutput output)
          This method performs the actual crossvalidation.
 void ClassificationAction.performOptimalComplexityCrossvalidation(Classifier classifier, java.io.File featureFile)
          This method performs the complexity crossvalidation operation.
 

Uses of Classifier in util.featureSelection
 

Methods in util.featureSelection with parameters of type Classifier
 void FeatureSelectionStub.applyFeatureSelectionToTraining(Classifier classifier, boolean sort)