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BayesWatch / deep-kernel-transfer

Official pytorch implementation of the paper "Bayesian Meta-Learning for the Few-Shot Setting via Deep Kernels" (NeurIPS 2020)
https://arxiv.org/abs/1910.05199
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Regression error #10

Closed prinshul closed 2 years ago

prinshul commented 2 years ago

Hi,

After following the steps mentioned in the README file for regression, I am getting the following error using spectral kernel.

python train_regression.py --method="DKT" --seed=1 [0] - Loss: nan MSE: nan noise: nan Traceback (most recent call last): File "train_regression.py", line 37, in model.train_loop(epoch, optimizer) File "/deep-kernel-transfer/methods/DKT_regression.py", line 53, in train_loop predictions = self.model(z) File "/home/user/.local/lib/python3.7/site-packages/gpytorch/models/exact_gp.py", line 256, in call raise RuntimeError("You must train on the training inputs!") RuntimeError: You must train on the training inputs!

Can you please how to correct it and get the desired results?

Also, using rbf kernel I am getting Average MSE: 0.243 +- 0.18 with the default settings on QMUL data but the reported MSE is much lower. Is it in-range or out-range?

Thanks.

mpatacchiola commented 2 years ago

See answer to the same issue here.