Basic evaluation #6
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This PR adds a simple evaluation notebook for SeasonTST, calculating RMSE for each variable and plotting some examples.
Results with a model on only 4 pixels are poor. This was very likely undertrained (as the training loss was still falling when stopped). Next steps should would be to understand why the model is not overfitting (as it should given its capacity) such small training dataset.
Note that without
data = data.compute()the test function was causing a lot of network IO, as is the dask caching wasn't working.