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SciKit-Learn Laboratory v1.2 Release Notes

Release Date: 2016-02-24 // about 8 years ago

  • 🛠 This release 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 has 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.