In the last two weeks, I worked mainly on updating and adding sklearn API for models in Gensim and updating tests in shorttext. I was not able to add a blog in the previous week since my college semester has now commenced and I was travelling at the time.
In PR #1473, I removed the BaseTransformer class and refactored the code for API classes accordingly. I updated the unittests to ensure the after calling set_params() and fit() function, the parameter values are set for the actual Gensim model as well. I also changed transform() function to use sparse2full() while creating the output matrix for the function. In the same PR, I added testConsistencyWithGensimModel() unittest for LDA and Word2Vec transformers. In PR #1462, I added API classes for Gensim’s Hdp and Phrases models along with the corresponding unittests. In PR 1445, I updated the example for score() function for LDA model in the IPython notebook sklearn_wrapper.ipynb.
In shorttext, I added PR #15 for restructuring the tests. I also created PR #16 for updating the documentation in docs.tutorial_nnlib. In PR #18, I modified the test conditions to make sure tests pass for all valid scenarios.