

def __init__(self, X=None, y=None, **kwargs):
    '\n        All the data is loaded into memory for one go training\n        '
    super(SingleBlock, self).__init__(**kwargs)
    self.train = IterMatrix(X=None, y=None)
    self.valid = IterMatrix(X=None, y=None)
    self.test = IterMatrix(X=None, y=None)
    assert (len(self.ratio) == 3), 'the size of list is not 3'
    if ((X is not None) and (y is not None)):
        assert (X.shape[0] == y.shape[0]), 'the number of examples in input and target dont match'
        if self.preprocessor:
            self.log.info(('..applying preprocessing: ' + self.preprocessor.__class__.__name__))
            X = self.preprocessor.apply(X)
        if self.noise:
            self.log.info(('..applying noise: ' + self.noise.__class__.__name__))
            X = self.noise.apply(X)
        self.set_Xy(X, y)

dataset/ETHPy150Open hycis/Pynet/pynet/datasets/dataset.py SingleBlock.__init__/original