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I was thinking to change my implementation and convert the "vocabulary" into a list of ints, instead of list of strings.
Just hope to gain memory with this.
Any comment on this ?
I implemented several "alternative" calculations.
By either doing "the same as sklearn" and / or looking at all formulas here: https://en.wikipedia.org/wiki/Tf%E2%80%93idf
For both tf and idf it lists several weighting schemes.
The current public API here looks good to me, for potentially plugin in into scicloj.ml.smile
is important as I noticed big differences in downstream uses cases of tf-idf (comparing documents in my case)
Hi @behrica, I've added an MIT licence, so you're welcome to use the code in any way that fits the licence. Basically, it just means that you need to maintain the copyright notice. :)
For reference:
https://github.com/scicloj/scicloj.ml.smile/blob/d70c7e3caff93935d05ab81ed6b2d1e4846ad42b/src/scicloj/ml/smile/nlp.clj#L281
If possible I would like to re-use this implementation.
I only made one, because I did not find any some months ago.
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