def __init__(self, **kwargs):
    '\n        Convolutional model\n        :param kwargs:\n            window_size: int\n            stride_size: int\n            test_percentage: float\n            n_features: int\n            n_outputs: int\n        '
    self.window_size = kwargs['window_size']
    self.stride_size = kwargs['stride_size']
    self.test_percentage = kwargs['test_percentage']
    self.verbose = 0
    self.epochs = 10
    self.batch_size = 32
    self.model = self.__create_model(kwargs['n_features'], kwargs['n_outputs'])
Convolutional model
:param kwargs:
    window_size: int
    stride_size: int
    test_percentage: float
    n_features: int
    n_outputs: int
def __init__(self, **kwargs):
    '\n        Convolutional model\n        :param kwargs:\n            window_size: int\n            stride_size: int\n            test_percentage: float\n            n_features: int\n            n_outputs: int\n        '
    self.window_size = kwargs['window_size']
    self.stride_size = kwargs['stride_size']
    self.test_percentage = kwargs['test_percentage']
    self.verbose = 0
    self.epochs = 10
    self.batch_size = 32
    self.model = self.__create_model(kwargs['n_features'], kwargs['n_outputs'])