spacetimeformer
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Multivariate Time Series Forecasting with efficient Transformers. Code for the paper "Long-Range Transformers for Dynamic Spatiotemporal Forecasting."
Forecaster L2: 1e-06 Linear Window: 0 Linear Shared Weights: False RevIN: False Decomposition: False /home/vdesai/spacetimeformer/spacetimeformer/spacetimeformer_model/nn/decoder.py:43: UserWarning: The implementation of Local Cross Attn with exogenous variables makes an unintuitive assumption about...
Passing `ckpt_path` in lightening's `.fit()` method gives the below error for the line `trainer.fit(forecaster, datamodule=data_module, ckpt_path='best.ckpt.ckpt')`. The intent is to resume training from saved checkpoints. Restoring states from the checkpoint...
I downloaded the pems-bay.h5 file from [https://zenodo.org/record/4263971](https://zenodo.org/record/4263971) and used [https://github.com/liyaguang/DCRNN/blob/master/scripts/generate_training_data.py](https://github.com/liyaguang/DCRNN/blob/master/scripts/generate_training_data.py) to generate `test.npz`, `train.npz`, `val.npz` files in ./data/pems_bay/. When I run the command from the README.md ` python train.py spacetimeformer...
Please let me know where I can find eg. PEMS-BAY data in the format ready for your model: /pems_bay/train.npz (and /val.npz and /test.npz) Or how to generate properly this data...
I try to modify the training script to use my own data set for training (the original version is using CIFAR10/MNIST). My data set is a folder with images in...
Hi! absolutely love your work Can you publish this library so users can install it through pip tho? thank you
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