I have a feature called Planning_id with more than 40000 categories. What is the recommended embedding size? I read that:
embedding_dimension = # categories * 0.25 is a good rule of thumb, but I still think that 10000 additional features is a lot.
I am using tensorflow
Thank you for your suggestions!