Python TimeSeriesClassifier.set_warm_start Examples

Example #1

    def set_warm_start(self, warm_start):
        """
		Set the status of `warm_start` of the Classifier.

		Parameters
		----------
		warm_start : bool
			Determines warm starting to allow training to pick
			up from previous training sessions.
		"""
        TimeSeriesClassifier.set_warm_start(self, warm_start)
        for e in (self.layer_1, self.layer_2):
            e.set_warm_start(warm_start)

Example #2

File: _tsens.py Project: paradoxysm/sleepens

    def set_warm_start(self, warm_start):
        """
		Set the status of `warm_start` of the Classifier.

		Parameters
		----------
		warm_start : bool
			Determines warm starting to allow training to pick
			up from previous training sessions.
		"""
        TimeSeriesClassifier.set_warm_start(self, warm_start)
        estimators = self.estimators_ if hasattr(
            self, 'estimators_') else self.base_estimators
        for e in estimators:
            e.set_warm_start(warm_start)