Python

fastText loves Python. In this release, we have:

• several bug fixes for prediction functions
• nearest neighbors and analogies for Python
• a memory leak fix
• website tutorials with Python examples

The autotune feature is fully integrated with our Python API. This allows us to have a more stable autotune optimization loop from Python and to synchronize the best hyper-parameters with the _FastText model object.

Pre-trained models tool

We release two helper scripts:

• download_model.py to automatically download pre-trained vectors from our website
• reduce_model.py to reduce the word-vectors' size using PCA.

They can also be used directly from our Python API.

More metrics

When you test a trained model, you can now have more detailed results for the precision/recall metrics of a specific label or all labels.

Paper source code

This release contains the source code of the unsupervised multilingual alignment paper.

Community feedback and contributions

We want to thank our community for giving us feedback on Facebook and on GitHub.