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Hey @joewandy, I've got a fork of this repo out for a project I'm working on, would you be open to me:
Adding python 3 support?
Optimizing some functions to use more efficient sparse arrays + vector operations in a few places? In my tinkering I'm getting a lot better performance
and then putting a PR back in?
The text was updated successfully, but these errors were encountered:
jknix
changed the title
Numpy Compatibility and Optimized Vector Functions
Sparse Matrix Compatibility and Optimized Vector Functions
Oct 8, 2019
Follow on, I'd also like to let the initial Hierarchical LDA object accept an initialized sklearn CountVectorizer object, that'd be a great compatibility.
Hey @joewandy, I've got a fork of this repo out for a project I'm working on, would you be open to me:
and then putting a PR back in?
The text was updated successfully, but these errors were encountered: