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sktime v0.4.2

Authors: Markus Löning; Tony Bagnall; Sajaysurya Ganesh; George Oastler; Jason Lines; ViktorKaz; Matthew Middlehurst; +20 Authors

sktime v0.4.2

Abstract

What's new Added ETSModel with auto-fitting capability (#393) @HYang1996 WEASEL classifier (#391) @patrickzib Full support for exogenous data in forecasting framework (#382) @mloning, (#380) @mloning Multivariate dataset for US consumption over time (#385) @SebasKoel Governance document (#324) @mloning, @fkiraly Fixed Documentation fixes (#400) @brettkoonce, (#399) @akanz1, (#404) @alwinw Changed Move documentation to ReadTheDocs with support for versioned documentation (#395) @mloning Refactored SFA implementation (additional features and speed improvements) (#389) @patrickzib Move prediction interval API to base classes in forecasting framework (#387) @big-o Documentation improvements (#364) @mloning Update CI and maintenance tools (#394) @mloning All contributors: @HYang1996, @SebasKoel, @fkiraly, @akanz1, @alwinw, @big-o, @brettkoonce, @mloning, @patrickzib

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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
OpenAIRE UsageCountsViews provided by UsageCounts
0
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5