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I was wondering if it would be possible to include the three main popular feature encoding / pooling / quantisation algorithms into scikit-learn, namely, Fisher vectors, VLAD, and BoW. They are very popular, time-tested algorithms with many applications.
I was wondering if it would be possible to include the three main popular feature encoding / pooling / quantisation algorithms into scikit-learn, namely, Fisher vectors, VLAD, and BoW. They are very popular, time-tested algorithms with many applications.
I am happy to submit this feature as well.
Originally proposed for scikit-learn, and was suggested instead to go into this library:
scikit-learn/scikit-learn#14382
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