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skforecast

integration_instructionsResearch softwarekeyboard_double_arrow_right Software 27 Sep 2023Publisher:Zenodo
Authors: Amat Rodrigo, Joaquin; Escobar Ortiz, Javier;

doi: 10.5281/zenodo.11115670 , 10.5281/zenodo.17880456 , 10.5281/zenodo.14067967 , 10.5281/zenodo.17179236 , 10.5281/zenodo.10145529 , 10.5281/zenodo.16795147 , 10.5281/zenodo.13151038 , 10.5281/zenodo.15319927 , 10.5281/zenodo.17752345 , 10.5281/zenodo.15046805 , 10.5281/zenodo.8382788 , 10.5281/zenodo.15000992 , 10.5281/zenodo.11222585 , 10.5281/zenodo.8382787

Abstract

Skforecast is a Python library that eases using scikit-learn regressors as single and multi-step forecasters. It also works with any regressor compatible with the scikit-learn API.

If you use this software, please cite it using the metadata from this file.

Keywords

python, machine learning, forecasting

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    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).
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    popularity
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    		 Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    		 Top 10%
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visibility
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
OpenAIRE UsageCountsViews provided by UsageCounts
6
Top 10%
Average
Top 10%
23