Example #1
0
    def set_verbose(self, verbose):
        """
		Set the verbosity of the Classifier.
		Subsidiary Classifiers have their verbosity
		suppressed by one compared to this Classifier.

		Parameters
		----------
		verbose : int, default=0
			Determines the verbosity of cross-validation.
			Higher verbose levels result in more output logged.
		"""
        TimeSeriesClassifier.set_verbose(self, verbose)
        for e in (self.layer_1, self.layer_2):
            e.set_verbose(verbose - 1)
Example #2
0
    def set_verbose(self, verbose):
        """
		Set the verbosity of the Classifier.
		Subsidiary Classifiers have their verbosity
		suppressed by one compared to this Classifier.

		Parameters
		----------
		verbose : int, default=0
			Determines the verbosity of cross-validation.
			Higher verbose levels result in more output logged.
		"""
        TimeSeriesClassifier.set_verbose(self, verbose)
        estimators = self.estimators_ if hasattr(
            self, 'estimators_') else self.base_estimators
        for e in estimators:
            e.set_verbose(verbose - 1)