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Title: SciKit-Learn Laboratory (SKLL) 0.25.0

Type Software Daniel Blanchard, Michael Heilman, Nitin Madnani, Nils Murrugarra Llerena, Aoife Cahill (2014): SciKit-Learn Laboratory (SKLL) 0.25.0. Zenodo. Software. https://zenodo.org/record/10729

Authors: Daniel 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) ;

Links

Summary

This release includes a long-standing request being finally fulfilled (part of #7). We now support Stochastic Gradient Descent!

Full changelog:

Added support for SGDClassifier and SGDRegressor Added option to use FeatureHasher instead of DictVectorizer to make learning with feature sets that have millions of features possible. Minor documentation fix for generate_predictions.

All the credit for this release goes to @nineil. Thanks Nils!

More information

  • DOI: 10.5281/zenodo.10729

Subjects

  • machine learning, Python

Dates

  • Publication date: 2014
  • Issued: July 01, 2014

Rights

Much of the data past this point we don't have good examples of yet. Please share in #rdi slack if you have good examples for anything that appears below. Thanks!

Format

electronic resource

Relateditems

DescriptionItem typeRelationshipUri
IsSupplementTohttps://github.com/EducationalTestingService/skll/tree/v0.25.0
IsVersionOfhttps://doi.org/10.5281/zenodo.591574
IsPartOfhttps://zenodo.org/communities/zenodo