followed the readmy steps and got

Using TensorFlow backend.

Layer (type) Output Shape Param #

lstm_1 (LSTM) (None, 256) 276480

dropout_1 (Dropout) (None, 256) 0

repeat_vector_1 (RepeatVecto (None, 7, 256) 0

lstm_2 (LSTM) (None, 7, 256) 525312

dropout_2 (Dropout) (None, 7, 256) 0

time_distributed_1 (TimeDist (None, 7, 13) 3341

activation_1 (Activation) (None, 7, 13) 0

Total params: 805,133
Trainable params: 805,133
Non-trainable params: 0

Traceback (most recent call last):
File "main.py", line 331, in
main()
File "main.py", line 287, in main
x_test, y_test, x_train, y_train = build_dataset()
File "main.py", line 142, in build_dataset
(n_test, MAX_EQUATION_LENGTH, N_FEATURES), dtype=np.bool
TypeError: 'float' object cannot be interpreted as an index