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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

Any recommendations?

Thank you for your suggestions!

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