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SciKit-Learn Laboratory (SKLL) 0.25.0

integration_instructionsResearch softwarekeyboard_double_arrow_right Software 01 Jul 2014Publisher:Zenodo
Authors: Dan Blanchard; Michael Heilman; Nitin Madnani; Nils Murrugarra Llerena; Aoife Cahill;
Code repository: https://github.com/EducationalTestingService/skll/tree/v0.25.0

doi: 10.5281/zenodo.10729 , 10.5281/zenodo.12178 , 10.5281/zenodo.11282 , 10.5281/zenodo.12521 , 10.5281/zenodo.10849

SciKit-Learn Laboratory (SKLL) 0.25.0

Abstract

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!

Related Organizations
Keywords

machine learning, Python

  • BIP!
    Impact byBIP!
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    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    		 0
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    		 Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    		 Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    		 Average
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average