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Open Source Science

https://github.com/time-series-machine-learning/tsml-eval

Evaluation tools for time series machine learning algorithms.

https://github.com/time-series-machine-learning/tsml-eval

Science Score: 36.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • ○
    CITATION.cff file
  • ✓
    codemeta.json file
    Found codemeta.json file
  • ✓
    .zenodo.json file
    Found .zenodo.json file
  • ○
    DOI references
  • ○
    Academic publication links
  • ✓
    Committers with academic emails
    5 of 15 committers (33.3%) from academic institutions
  • ○
    Institutional organization owner
  • ○
    JOSS paper metadata
  • ○
    Scientific vocabulary similarity
    Low similarity (13.0%) to scientific vocabulary

Keywords

benchmarking data-science evaluation machine-learning python time-series

Keywords from Contributors

data-mining time-series-anomaly-detection time-series-classification time-series-clustering time-series-regression time-series-segmentation anomaly-detection changepoint-detection sktime sequences
Last synced: 6 months ago · JSON representation

Repository

Evaluation tools for time series machine learning algorithms.

Basic Info
  • Host: GitHub
  • Owner: time-series-machine-learning
  • License: bsd-3-clause
  • Language: Python
  • Default Branch: main
  • Homepage: https://tsml-eval.readthedocs.io/
  • Size: 25.9 MB
Statistics
  • Stars: 52
  • Watchers: 6
  • Forks: 17
  • Open Issues: 35
  • Releases: 10
Topics
benchmarking data-science evaluation machine-learning python time-series
Created over 3 years ago · Last pushed 6 months ago
Metadata Files
Readme License

README.md

github-actions-release github-actions-main github-actions-nightly docs-release docs-main codecov openssf-scorecard pypi !conda python-versions black license binder

tsml-eval

tsml-eval contains benchmarking and evaluation tools for time series machine learning algorithms.

The current release of tsml-eval is v0.6.0.

Installation

tsml-eval is available on PyPI and can be installed via pip:

console pip install tsml-eval

More information available on our documentation.

Acknowledgements

This work is supported by the UK Engineering and Physical Sciences Research Council (EPSRC) EP/W030756/2

Owner

  • Name: Time Series Machine Learning (tsml)
  • Login: time-series-machine-learning
  • Kind: organization
  • Location: Norwich, United Kingdom

Machine learning resources, datasets and tools for time series analysis

GitHub Events

Total
  • Create event: 75
  • Release event: 1
  • Issues event: 12
  • Watch event: 18
  • Delete event: 65
  • Issue comment event: 57
  • Push event: 191
  • Pull request review event: 13
  • Pull request event: 141
  • Fork event: 1
Last Year
  • Create event: 75
  • Release event: 1
  • Issues event: 12
  • Watch event: 18
  • Delete event: 65
  • Issue comment event: 57
  • Push event: 191
  • Pull request review event: 13
  • Pull request event: 141
  • Fork event: 1

Committers

Last synced: over 1 year ago

All Time
  • Total Commits: 474
  • Total Committers: 15
  • Avg Commits per committer: 31.6
  • Development Distribution Score (DDS): 0.616
Past Year
  • Commits: 114
  • Committers: 8
  • Avg Commits per committer: 14.25
  • Development Distribution Score (DDS): 0.64
Top Committers
Name Email Commits
Tony Bagnall a****b@u****k 182
Matthew Middlehurst M****t@u****k 69
Matthew Middlehurst m****t@u****k 65
chris holder c****7@h****m 43
Matthew Middlehurst p****u@g****m 41
MatthewMiddlehurst p****u@u****k 21
dependabot[bot] 4****] 18
tsml-actions-bot[bot] 1****] 13
David Guijo Rubio 4****o 6
Guilherme Arcencio 4****o 5
David Guijo-Rubio d****o@u****s 4
ander-hg a****1@g****m 4
Kevin Lu k****8@g****m 1
Patrick Schäfer p****r@h****e 1
angus924 5****4 1
Committer Domains (Top 20 + Academic)
uea.ac.uk: 4 hu-berlin.de: 1 uco.es: 1

Issues and Pull Requests

Last synced: 6 months ago

All Time
  • Total issues: 35
  • Total pull requests: 328
  • Average time to close issues: 3 months
  • Average time to close pull requests: 7 days
  • Total issue authors: 12
  • Total pull request authors: 14
  • Average comments per issue: 1.89
  • Average comments per pull request: 0.95
  • Merged pull requests: 251
  • Bot issues: 13
  • Bot pull requests: 143
Past Year
  • Issues: 10
  • Pull requests: 135
  • Average time to close issues: about 2 months
  • Average time to close pull requests: 7 days
  • Issue authors: 6
  • Pull request authors: 8
  • Average comments per issue: 0.8
  • Average comments per pull request: 0.54
  • Merged pull requests: 104
  • Bot issues: 3
  • Bot pull requests: 68
View more stats
Top Authors
Issue Authors
  • tsml-actions-bot[bot] (12)
  • TonyBagnall (11)
  • IRKnyazev (2)
  • sweep-ai[bot] (2)
  • MatthewMiddlehurst (2)
  • yarick-abramov (1)
  • lngdet (1)
  • Mithrillion (1)
  • mattlorimor (1)
  • super-mrc (1)
  • YunruiZhang (1)
  • WangPanJie2024 (1)
Pull Request Authors
  • MatthewMiddlehurst (155)
  • dependabot[bot] (109)
  • tsml-actions-bot[bot] (64)
  • TonyBagnall (26)
  • chrisholder (23)
  • LinGinQiu (12)
  • sweep-ai[bot] (7)
  • adm-unl (6)
  • Moonzyyy (4)
  • Abhash297 (4)
  • IRKnyazev (4)
  • dguijo (3)
  • alexbanwell1 (2)
  • kevinlu1248 (1)
Top Labels
Issue Labels
stale branch (12) bug (5) enhancement (4) sweep (4) documentation (3) evaluation (2) results (2) testing (1) experiments (1)
Pull Request Labels
maintenance (221) dependencies (97) full pre-commit (67) enhancement (60) experiments (49) no changelog (28) tsml research resources (24) publications (21) estimators (19) testing (16) evaluation (15) documentation (14) release (7) sweep (7) bug (5) results (4) examples (4) refactor (3) datasets (1) full pytest actions (1) forecasting (1)

Packages

  • Total packages: 1
  • Total downloads:
    • pypi 154 last-month
  • Total dependent packages: 0
  • Total dependent repositories: 0
  • Total versions: 10
  • Total maintainers: 1
pypi.org: tsml-eval

A package for benchmarking time series machine learning tools.

  • Documentation: https://tsml-eval.readthedocs.io/
  • License: BSD 3-Clause License Copyright (c) The Time Series Machine Learning (tsml) developers. All rights reserved. Redistribution and use in source and binary forms, with or without modification, are permitted provided that the following conditions are met: 1. Redistributions of source code must retain the above copyright notice, this list of conditions and the following disclaimer. 2. Redistributions in binary form must reproduce the above copyright notice, this list of conditions and the following disclaimer in the documentation and/or other materials provided with the distribution. 3. Neither the name of the copyright holder nor the names of its contributors may be used to endorse or promote products derived from this software without specific prior written permission. THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
  • Latest release: 0.6.0
    published 10 months ago
  • Versions: 10
  • Dependent Packages: 0
  • Dependent Repositories: 0
  • Downloads: 154 Last month
Rankings
Dependent packages count: 6.6%
Average: 18.8%
Downloads: 19.2%
Dependent repos count: 30.6%
Maintainers (1)
MMiddlehurst
Last synced: 6 months ago

Dependencies

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.github/workflows/tests.yml actions
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  • codecov/codecov-action v3 composite
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pyproject.toml pypi
  • convst *
  • gpustat *
  • networkx *
  • requests *
  • scikit-learn *
  • sktime >=0.15.0
  • stumpy *
  • wildboar *
  • xgboost *
.github/workflows/examples.yml actions
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.github/workflows/pre_commit.yml actions
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