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SKLL 1.3
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@desilinguist desilinguist released this 13 Feb 19:48
v1.3
df60bfa

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.
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