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ZENODO
Software . 2024
License: CC BY
Data sources: ZENODO
ZENODO
Software . 2024
License: CC BY
Data sources: Datacite
Claim

zfit/zfit: Bug fixes in randomness and improved caching

integration_instructionsResearch softwarekeyboard_double_arrow_right Software 22 Feb 2024Publisher:Zenodo
Authors: Jonas Eschle; Johannes Lade; Matthieu Marinangeli; Albert Puig; a-maur; rsilvaco; Sebastian Schmitt; +13 Authors

doi: 10.5281/zenodo.10690896

zfit/zfit: Bug fixes in randomness and improved caching

Abstract

0.18.1 (22 Feb 2024) Major Features and Improvements reduced the number of graph caching reset, resulting in significant speedups in some cases Bug fixes and small changes use random generated seeds for numpy and TF, as they can otherwise have unwanted correlations Thanks @anjabeck for the bug report and the idea to use random seeds for numpy and TF @acampoverde for reporting the caching issue

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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