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v0.0.13
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Added model distillation @jwmueller (#547 ).
Added FAISS KNN model @brc7 (#557 ).
Refactored Feature Generation (Part 1) @Innixma (#578 ).
Added extra_info argument to predictor.leaderboard @Innixma (#605 ).
Optimized out-of-fold feature memory usage by 50% @Innixma (#588 ).
Added confusion matrix to predictor.evaluate_predictions() output @alan-aipe (#571 ).
Improved output directory generation robustness @songqiang (#620 ).
Improved stability on large datasets by reducing maximum memory usage ratio of RF, XT, and KNN models @Innixma (#630 ).
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General
Added mxnet 1.7 support @sxjscience (#546 ).
Numerous bug fixes @Innixma , @jwmueller , @sxjscience , @zhreshold , @yongzhengqi , (#559 , #568 , #577 , #590 , #592 , #597 , #600 , #604 , #621 , #625 , #629 ).
Documentation improvements @jwmueller , @sxjscience , @songqiang , @Bharat123rox (#554 , #561 , #585 , #609 , #628 , #631 ).
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