'Initialize parameters of the LSTM (both weights and biases in one matrix)
to be ones'

@staticmethod
def init(input_size, hidden_size):

    a = ((input_size + hidden_size) + 1)
    b = (4 * hidden_size)
    WLSTM = np.ones((a, b))
    return WLSTM
