This is a somewhat major release that includes major changes as well as a number of bugfixes. Changes: The required version of scikit-learn has been bumped up to 0.17.1 (issue #273, PRs #288 and #308) You can now optionally save cross-validation folds to a file for later analysis (issue #259, PR #262) Update documentation to be clear about when two FeatureSet instances are deemed equal (issue #272, PR #294) You can now specify multiple objective functions for parameter tuning (issue #115, PR #291) Bugfixes: Use a fixed random state when doing non-stratified k-fold cross-validation (issue #247, PR #286) Fix errors when using reusing relative paths in output section (issue #252, PR #287) print_model_weights now works correctly for multi-class logistic regression models (issue #274, PR #267) Correctly raise an IOError if the config file is not correctly specified (issue #275, PR #281) The evaluate task does not crash when the test data have labels that were not seen in training data (issue #279, PR #290) The fit() method for rescaled versions of learners now works correctly when not doing grid search (issue #304, PR #306) Fix minor typos in the documentation and tutorial.