New :

• Introduction of the “OneVsAll” loss function for multi-label classification, which corresponds to the sum of binary cross-entropy computed independently for each label. This new loss can be used with the -loss ova or -loss one-vs-all command line option ( 8850c51b972ed68642a15c17fbcd4dd58766291d ).
• Computation of the precision and recall metrics for each label ( be1e597cb67c069ba9940ff241d9aad38ccd37da ).
• Removed printing functions from FastText class ( 256032b87522cdebc4850c99b204b81b3255cb2a ).
• Better default for number of threads ( 501b9b1e4543fd2de55e4a621a9924ce7d2b5b17 ).
• Python support ( f10ec1faea1605d40fdb79fe472cc2204f3d584c ).
• More tests for circleci/python ( eb9703a4a7ed0f7559d6f341cc8e5d166d5e4d88, 97fcde80ea107ca52d3d778a083564619175039c, 1de0624bfaff02d91fd265f331c07a4a0a7bb857 ).

Bug fixes :

• Normalize buffer vector in analogy queries.
• Typo fixes and clarifications on website.
• Improvements on python install issues : setup.py OS X compiler flags, pybind11 include.
• Fix: getSubwords for EOS.
• Fix: ETA time.
• Fix: division by 0 in word analogy evaluation.
• Fix for the infinite loop on ARM cpu.

Operations :

• We released more pre-trained vectors (92bc7d230959e2a94125fbe7d3b05257effb1111, 5bf8b4c615b6308d76ad39a5a50fa6c4174113ea ).

Worth noting :

• We added circleci build badges to the README.md
• We modified the style to be in compliance with Facebook C++ style.
• We added coverage option for Makefile and setup.py in order to build for measuring the coverage.

Thank you fastText community!

We want to thank you all for being a part of this community and sharing your passion with us. Some of these improvements would not have been possible without your help.