|
||||||||||
PREV NEXT | FRAMES NO FRAMES |
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)
|
|
||||||||||
PREV NEXT | FRAMES NO FRAMES |