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Title: SciKit-Learn Laboratory (SKLL) 0.27.0

Type Software Dan Blanchard, Michael Heilman, Nitin Madnani, Nils Murrugarra Llerena, Aoife Cahill (2014): SciKit-Learn Laboratory (SKLL) 0.27.0. Zenodo. Software. https://zenodo.org/record/11282

Authors: Dan Blanchard (Educational Testing Service) ; Michael Heilman (Educational Testing Service) ; Nitin Madnani (Educational Testing Service) ; Nils Murrugarra Llerena (University of Pittsburgh) ; Aoife Cahill (Educational Testing Service) ;

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Summary

The main new feature in this release is that .libsvm files are now fully supported by skll_convert and run_experiment. Because of this change, we've removed megam_to_libsvm.

Other changes include:

Integer keys are now allowed in fixed_parameters and param_grids (#134). Therefore, SKLL now requires PyYAML to function properly. Added documentation about using class_weights to manage imbalanced datasets (#132) Added information about pre-specified folds (via `cv_folds_location) to results JSON and plain-text files. (#108) Added warning when encountering classes that are not in class_map. (#114) Fixed issue where sampler random_state parameter would be overridden. Fixed license headers in CLI package. They were still GPL for some reason. Fixed issue #112 by switching to joblib.pool.MemmappingPool for handling parallel file loading. SKLL now requires joblib 0.8 to function properly. Fixed issue #104 by making result formatting more consistent. compute_eval_from_predictions now supports string-valued classes, as it should have. (#135) We now raise an exception instead of allowing you to overwrite your results by including the same learner in the learners list in your config file twice (#140). Fixed warning about files being left open in Python 3.4 (by not leaving them open anymore). Short names for learners have been deprecated and will be removed in SKLL 1.0.

More information

  • DOI: 10.5281/zenodo.11282

Subjects

  • machine learning, Python

Dates

  • Publication date: 2014
  • Issued: August 13, 2014

Rights


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Format

electronic resource

Relateditems

DescriptionItem typeRelationshipUri
IsSupplementTohttps://github.com/EducationalTestingService/skll/tree/v0.27.0
IsVersionOfhttps://doi.org/10.5281/zenodo.591574
IsPartOfhttps://zenodo.org/communities/zenodo