Carlos-Francisco Méndez-Cruz

Deep Learning Workshop

......@@ -96,11 +96,12 @@ if __name__ == "__main__":
# One-hot-encoding of sequences
for sequence, label in zip(sequences, labels):
if len(sequence) < max_length:
print("sequence: {}".format(sequence))
print("Le falta: {}".format(max_length - len(sequence)))
sequence_adjust = sequence.ljust(max_length - len(sequence), 'X')
print("sequence_adjust: {}".format(sequence_adjust))
# print("sequence: {}".format(sequence))
# print("Le falta: {}".format(max_length - len(sequence)))
sequence_adjust = sequence.ljust(max_length, 'X')
# print("sequence_adjust: {}".format(sequence_adjust))
else:
sequence_adjust = sequence
print("Length sequence_adjust: {}".format(len(sequence_adjust)))
integer_encoded = integer_encoder.fit_transform(list(sequence_adjust))
integer_encoded = np.array(integer_encoded).reshape(-1, 1)
......