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ZENODO
Software . 2016
Data sources: Datacite
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ZENODO
Software . 2016
Data sources: ZENODO
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ZENODO
Software . 2016
Data sources: Datacite
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skll: SKLL 1.2.1

integration_instructionsResearch softwarekeyboard_double_arrow_right Software 20 May 2016Publisher:Zenodo
Authors: Blanchard, Dan; Nitin Madnani; Heilman, Michael; Cahill, Aoife; Napolitano, Diane M.; Nineil; Keelan Evanini; +7 Authors
Code repository: https://github.com/EducationalTestingService/skll/tree/v1.2.1

doi: 10.5281/zenodo.51767 , 10.5281/zenodo.591574

skll: SKLL 1.2.1

Abstract

This is primarily a bug fix release but also adds a major new API feature. New API Feature: If you use the SKLL API, you can now create FeatureSet instances directly from pandas data frames (issue #261, PR #292). Bugfixes: Correctly parse floats in scientific notation, e.g., when specifying parameter grids and/or fixed parameters (issue #318, PR #320) print_model_weights now correctly handles models trained with fit_intercept=False (issue #322, PR #323).

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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!
views
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