TCN
TCN copied to clipboard
locuslab
Sequence modeling benchmarks and temporal convolutional networks
do you have code examples for multivariate time series
I have dimensional spatio-temporal data which the spatial part is represented by 2D matrices(like an RGB image). How can I feed the data to the TCN?
Thank you for sharing the code and paper, it has been very helpful. I think I may have found a subtle issue with the padding scheme and would appreciate another...
I have all the .abc files. I have made sure the shape of all the X variables combined is the same as the number of songs. But after I load...
I change the output "return torch.mean(self.network(x),dim=2)" for multi-feature time series and the training time reduces significantly..so why--lol
After each epoch (at least the first 6 so far), I get 982/10000 (10%) accuracy which can't be right. What should the accuracy be as was originally designed?
Great code guys! Can I ask a question at this code? https://github.com/locuslab/TCN/blob/master/TCN/adding_problem/model.py#L17 Usually when I implement CNN-series model, the calculation of the last layer CNN dimension was always a problem....
Suppose my input sequences are of varying lengths (between 15 ~ 400) and 3 features. What should I pass to `TemporalConvNet(3, [3] * layers)` for `layers`?
This code is a great job! I would like to know if this method works for regression problems with seq2seq? how should i modify？like encoder-decoder
Namespace(batch_size=32, clip=-1, cuda=True, dropout=0.0, epochs=10, ksize=7, levels=8, log_interval=100, lr=0.004, nhid=30, optim='Adam', seed=1111, seq_len=400) Producing data... Traceback (most recent call last): File "D:\javaworkspace\TCN\TCN\adding_problem\add_test.py", line 63, in model.cuda() File "D:\anaconda3\envs\script\lib\site-packages\torch\nn\modules\module.py", line 688,...
