Hi everyone, Thanks for the great library. I was wondering if there is a way to distinguish between categorical features and numerical features within

futr_exog: torch.Tensor,
hist_exog: torch.Tensor,
stat_exog: torch.Tensor,

so that we can embed the categorical features with learnable embeddings ? Also for categorical features we probably need to know the cardinality of the feature in the training set as well. What do you think?

Hey @Rajat Sen , we are not making a distinction between categorical and numeric features for the moment. We adapted TFT for that purpose here: https://github.com/Nixtla/neuralforecast/blob/main/neuralforecast/models/tft.py