[FEA] Max Frequency threshold in Categorify
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Description
Is your feature request related to a problem? Please describe.
There seems to be a minimum freq_threshold for Categorify to remove long-tail elements but I feel there are also some use-cases to have a maximum freq_threshold where items/users that appear more than a certain number of times are either meaningless / spam / bots. I understand that it won't have the same kind of memory saving (due to the power-laws in recsys datasets) but it's a pretty common operation in tabular/nlp datasets to ignore extremely frequent elements because they don't carry any information.
Describe the solution you'd like
If Categorify had a max_freq threshold as well, it would feel more intuitive.
Describe alternatives you've considered
Currently, this is doable with a groupBy/valueCounts and a filter operation but it would be good to have support for it out of the box.
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- Python
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