Training on the ETH dataset.

[huang-xx]

For the case where the prediction length is 8 time-steps, the result in the paper will appear at the 256th epoch. No need to change parameters.

For the case where the prediction length is 12 time-steps, do the following things:

1. Change "lr" to 1e-5 in line 148 and 149 in train.py;
2. Change value 150 to 30 in line 173 in train.py;
3. Comment out the 175th and 176th line of code in train.py
4. Change value 250 to 30 in line 178 in train.py.
5. Change value 5e-3 to 1e-4 in line 180 in train.py.
6. Set the 'seed' to 86 in line 20 in evaluate_model.py.

You will get the result at epoch 54.

[JiyouSeo]

@huang-xx Should I set the seed to 86 when I run the code train.py?