[WIP] Add an embedding layer for the months #120
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As per Yasser's comments, replaces the one hot encoding with an embedding.
Currently, the size of the embedding is fixed at 12, but if this works well this could become an additional argument.The size of the embedding is an additional argument - ifNoneis passed, the prediction month isn't passed to the model.Also, removes the EALSTM cell written using
nn.Modules, since the original one works fine with shap.