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SciKit-Learn Laboratory v1.3 Release Notes

Release Date: 2017-02-13 // about 7 years ago

  • 🚀 This is a major new release of SKLL.

    🆕 New features

    • 📚 You can now generate learning curves for multiple learners, multiple feature sets, and multiple objectives in a single experiment by using task=learning_curve in the configuration file. See documentation for more details (issue #221, PR #332).

    🔄 Changes

    • ✅ The required version of scikit-learn has been bumped up to 0.18.1 (issue #328, PR #330).
    • 🍎 SKLL now uses the MKL backend on macOS/Linux instead of OpenBLAS when used as a conda package.

    🛠 Bugfixes

    • 🛠 Fix deprecation warning when using Learner.model_params() (issue #325, PR #329).
    • ⚡️ Update the definitions of SKLL F1 metrics as a result of scikit-learn upgrade (issue #325, PR #330).
    • 📚 Bring documentation for SVC parameter grids up to date with the code (issue #334, PR #337).
    • 📚 Update documentation to make it clear that the SKLL conda package is only available for Python 3.4. For other Python versions, users should use pip.