In the last week, I worked on PRs in both Gensim and shorttext repositories.
In Gensim, I worked on PR #1445 to include u_mass mode in the score function for SklLdaModel class. I also updated the IPython notebook for scikit-learn integration with examples to explain the usage of the newly added code. In addition to this, I worked on adding a scikit-learn wrapper for Gensim’s Doc2Vec class in PR #1462. The same PR also adds unittests for the new wrapper class. I also created PR #1473 to refactor the code for all the existing sklearn-api classes. This refactoring included renaming wrapper classes, updating unittests, rephrasing docstrings and updating corresponding IPython notebook examples.
The changes that I made to shorttext during the last week were primarily focused around adding support for the changes made in PR #1248 in Gensim. Regarding this, I worked on PR #9 which fixed a bug in the code to load the value of with_gensim variable from the saved json file and also updated docstrings for the save and load functions for VarNNEmbeddedVecClassifier class. I also created PR #10 which added support for the changes made in PR #1248 by adding the codepath along the case when with_gensim=True to the classes DoubleCNNWordEmbed and CLSTMWordEmbed in classifiers.embed.nnlib.frameworks.