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Categorical Features for TFT
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Description
I guess an actual TFT can handle categorical features with embeddings, does nixtla have something similar or it always needs to be done manually with label encodings?
Use case
I am trying to put string in in the input as feature but the model is not being able to parse it.
Have you tried providing categorical features (columns of categorical data type)? It wouldn't use an embedding layer but it'd do label encoding.
See also https://github.com/Nixtla/neuralforecast/issues/916