def train(self): Classifier.train(self) self.post_probs = self.training.posterior_probablities( self.attributes, self.klass) self.class_freq_dist = self.training.class_freq_dist() for klass_value in self.klass: self.class_freq_dist.inc(klass_value) #laplacian smoothing
def train(self): Classifier.train(self) self.__best_decision_stump = self.best_decision_stump(self.training)
def train(self): Classifier.train(self) self.post_probs = self.training.posterior_probablities(self.attributes, self.klass) self.class_freq_dist = self.training.class_freq_dist() for klass_value in self.klass: self.class_freq_dist.inc(klass_value)#laplacian smoothing
def train(self): Classifier.train(self) self.__majority_class = self.majority_class()