Carlos-Francisco Méndez-Cruz

Deep Learning Workshop

......@@ -104,7 +104,7 @@ if __name__ == "__main__":
print("Media exon length: {}".format(total_exon_length/count_exon))
print("Media utr length: {}".format(total_utr_length/count_utr))
#quit()
quit()
if max_exon_length > max_utr_length:
max_length = max_exon_length
......@@ -130,7 +130,7 @@ if __name__ == "__main__":
integer_encoded = np.array(integer_encoded).reshape(-1, 1)
# print("integer_encoded: {}".format(integer_encoded))
one_hot_encoded = one_hot_encoder.fit_transform(integer_encoded)
print(" shape: {}".format(one_hot_encoded.toarray().shape))
# print(" shape: {}".format(one_hot_encoded.toarray().shape))
input_features.append(one_hot_encoded.toarray())
# Print first sequence and one-hot-encoding
......