'Fit label binarizer and transform multi-class labels to binary
labels.
The output of transform is sometimes referred to    as
the 1-of-K coding scheme.
Parameters
y : array or sparse matrix of shape [n_samples,] or             [n_samples, n_classes]
Target values. The 2-d matrix should only contain 0 and 1,
represents multilabel classification. Sparse matrix can be
CSR, CSC, COO, DOK, or LIL.
Returns
Y : array or CSR matrix of shape [n_samples, n_classes]
Shape will be [n_samples, 1] for binary problems.'

def fit_transform(self, y):

    return self.fit(y).transform(y)
