/** * Returns an instance of a TechnicalInformation object, containing * detailed information about the technical background of this class, * e.g., paper reference or book this class is based on. * * @return the technical information about this class */ public TechnicalInformation getTechnicalInformation() { return super.getTechnicalInformation(); }
/** * Returns an instance of a TechnicalInformation object, containing * detailed information about the technical background of this class, * e.g., paper reference or book this class is based on. * * @return the technical information about this class */ public TechnicalInformation getTechnicalInformation() { return super.getTechnicalInformation(); }
/** * Returns a string describing this classifier * * @return a description of the classifier suitable for displaying in the * explorer/experimenter gui */ public String globalInfo() { return "Class for a Naive Bayes classifier using estimator classes. Numeric" + " estimator precision values are chosen based on analysis of the " + " training data. For this reason, the classifier is not an" + " UpdateableClassifier (which in typical usage are initialized with zero" + " training instances) -- if you need the UpdateableClassifier functionality," + " use the NaiveBayesUpdateable classifier. The NaiveBayesUpdateable" + " classifier will use a default precision of 0.1 for numeric attributes" + " when buildClassifier is called with zero training instances.\n\n" + "For more information on Naive Bayes classifiers, see\n\n" + getTechnicalInformation().toString(); }
/** * Returns a string describing this classifier * * @return a description of the classifier suitable for displaying in the * explorer/experimenter gui */ public String globalInfo() { return "Class for a Naive Bayes classifier using estimator classes. Numeric" + " estimator precision values are chosen based on analysis of the " + " training data. For this reason, the classifier is not an" + " UpdateableClassifier (which in typical usage are initialized with zero" + " training instances) -- if you need the UpdateableClassifier functionality," + " use the NaiveBayesUpdateable classifier. The NaiveBayesUpdateable" + " classifier will use a default precision of 0.1 for numeric attributes" + " when buildClassifier is called with zero training instances.\n\n" + "For more information on Naive Bayes classifiers, see\n\n" + getTechnicalInformation().toString(); }