tools/utilities/pythonlibs/audio/view_audio.py
def evaluate_classifier(self):
        """ run the classifier model on the current feature data and show the prediction, if any """
        if self.evaluate_classifier and self.classifier and self.classifier_feature_data is not None:
            prediction, probability, label = self.classifier.predict(self.classifier_feature_data.ravel())
            if prediction is not None:
                percent = int(100*probability)
                if self.last_prediction != prediction or self.probability < probability:
                    self.last_prediction = prediction
                    self.probability = probability
                    self.show_output("<<< DETECTED ({}) {}% {} >>>".format(prediction, percent, label))
 run the classifier model on the current feature data and show the prediction, if any 
run the classifier model on the current feature data and show the prediction, if any
run the classifier model on the current feature data and show the prediction if any
def evaluate_classifier(self):
        if self.evaluate_classifier and self.classifier and self.classifier_feature_data is not None:
            prediction, probability, label = self.classifier.predict(self.classifier_feature_data.ravel())
            if prediction is not None:
                percent = int(100*probability)
                if self.last_prediction != prediction or self.probability < probability:
                    self.last_prediction = prediction
                    self.probability = probability
                    self.show_output("<<< DETECTED ({}) {}% {} >>>".format(prediction, percent, label))
def evaluate_classifier ( self ) : if self . evaluate_classifier and self . classifier and self . classifier_feature_data is not None : prediction , probability , label = self . classifier . predict ( self . classifier_feature_data . ravel ( ) ) if prediction is not None : percent = int ( 100 * probability ) if self . last_prediction != prediction or self . probability < probability : self . last_prediction = prediction self . probability = probability self . show_output ( "<<< DETECTED ({}) {}% {} >>>" . format ( prediction , percent , label ) )
run the classifier model on the current feature data and show the prediction, if any
run the classifier model on the current feature data and show the prediction if any
""" run the classifier model on the current feature data and show the prediction, if any """
self