@nfusi nfusi released this Nov 1, 2016 · 17 commits to master since this release


  1. added random_state to GBRT call to ensure reproducibility of experiments.
  2. fixed continuous integration tests (travis-ci).
  3. increased number of guides tested in unittest to 1000 (up from 3).
  4. enforcing dependency on scikit-learn >= 0.17 because earlier versions produced different results due to stochasticity.
  5. re-generated the model pickle files to fix a bug introduced in June 2016 (340ab04), when we updated the feature names without re-generating the pickle files.

This release has been pushed to pypi, but has not been pushed to the Azure ML server. Thus, there are differences in prediction values between the web service and the Python code (see #1).

Assets 2