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Open Source Science

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

A toolkit for time series machine learning algorithms.

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

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
    2 of 6 committers (33.3%) from academic institutions
  • ○
    Institutional organization owner
  • ○
    JOSS paper metadata
  • ○
    Scientific vocabulary similarity
    Low similarity (13.4%) to scientific vocabulary

Keywords

data-science machine-learning python scikit-learn time-series time-series-classification time-series-clustering time-series-regression

Keywords from Contributors

benchmarking interactive projection sequences genomics observability autograding hacking shellcodes archival
Last synced: 5 months ago · JSON representation

Repository

A toolkit 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:
  • Size: 799 KB
Statistics
  • Stars: 9
  • Watchers: 4
  • Forks: 1
  • Open Issues: 1
  • Releases: 18
Topics
data-science machine-learning python scikit-learn time-series time-series-classification time-series-clustering time-series-regression
Created about 3 years ago · Last pushed 6 months ago
Metadata Files
Readme License

README.md

github-actions-release github-actions-main pypi !conda python-versions black license

tsml-py

A repository for in-development time series machine learning algorithms and other odd bits by Matthew Middlehurst.

Please see tsml_eval and aeon for more developed and stable packages. This package is more of a sandbox for testing out new ideas and algorithms. It may contain some algorithms and implementations that are not available in the other toolkits.

The current release of tsml is v0.7.1.

Installation

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

console pip install tsml

Acknowledgements

This work is supported by the UK Engineering and Physical Sciences Research Council (EPSRC) EP/W030756/1

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: 25
  • Issues event: 4
  • Release event: 4
  • Watch event: 2
  • Delete event: 17
  • Issue comment event: 10
  • Push event: 36
  • Pull request review event: 1
  • Pull request event: 37
Last Year
  • Create event: 25
  • Issues event: 4
  • Release event: 4
  • Watch event: 2
  • Delete event: 17
  • Issue comment event: 10
  • Push event: 36
  • Pull request review event: 1
  • Pull request event: 37

Committers

Last synced: over 1 year ago

All Time
  • Total Commits: 68
  • Total Committers: 6
  • Avg Commits per committer: 11.333
  • Development Distribution Score (DDS): 0.456
Past Year
  • Commits: 18
  • Committers: 5
  • Avg Commits per committer: 3.6
  • Development Distribution Score (DDS): 0.444
Top Committers
Name Email Commits
Matthew Middlehurst m****t@u****k 37
Matthew Middlehurst M****t@u****k 15
Matthew Middlehurst p****u@g****m 10
dependabot[bot] 4****] 4
pre-commit-ci-lite[bot] 1****] 1
tsml-actions-bot[bot] 1****] 1
Committer Domains (Top 20 + Academic)
uea.ac.uk: 2

Issues and Pull Requests

Last synced: 6 months ago

All Time
  • Total issues: 7
  • Total pull requests: 99
  • Average time to close issues: 26 days
  • Average time to close pull requests: 9 days
  • Total issue authors: 2
  • Total pull request authors: 4
  • Average comments per issue: 0.29
  • Average comments per pull request: 1.08
  • Merged pull requests: 48
  • Bot issues: 0
  • Bot pull requests: 62
Past Year
  • Issues: 0
  • Pull requests: 28
  • Average time to close issues: N/A
  • Average time to close pull requests: 13 days
  • Issue authors: 0
  • Pull request authors: 3
  • Average comments per issue: 0
  • Average comments per pull request: 0.25
  • Merged pull requests: 17
  • Bot issues: 0
  • Bot pull requests: 17
View more stats
Top Authors
Issue Authors
  • MatthewMiddlehurst (4)
  • dependabot[bot] (2)
  • Sandy4321 (1)
Pull Request Authors
  • dependabot[bot] (69)
  • MatthewMiddlehurst (46)
  • tsml-actions-bot[bot] (7)
  • sweep-ai[bot] (6)
Top Labels
Issue Labels
enhancement (2) dependencies (2) maintenance (2) bug (1) documentation (1) testing (1)
Pull Request Labels
maintenance (81) dependencies (69) full pre-commit (7) testing (5) sweep (3) bug (2) no changelog (1)

Packages

  • Total packages: 1
  • Total downloads:
    • pypi 4,929 last-month
  • Total dependent packages: 1
  • Total dependent repositories: 0
  • Total versions: 18
  • Total maintainers: 1
pypi.org: tsml

A development sandbox for time series machine learning algorithms which dont fit into aeon.

  • Documentation: https://tsml.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: 0.7.1
    published 10 months ago
  • Versions: 18
  • Dependent Packages: 1
  • Dependent Repositories: 0
  • Downloads: 4,929 Last month
Rankings
Dependent packages count: 6.6%
Downloads: 15.3%
Average: 17.5%
Dependent repos count: 30.6%
Maintainers (1)
MMiddlehurst
Last synced: 6 months ago

Dependencies

.github/workflows/pr_opened.yml actions
  • actions/checkout v4 composite
  • actions/create-github-app-token v1 composite
  • actions/setup-python v5 composite
.github/workflows/pre_commit.yml actions
  • actions/checkout v4 composite
  • actions/setup-python v5 composite
  • pre-commit-ci/lite-action v1.0.1 composite
  • pre-commit/action v3.0.0 composite
  • tj-actions/changed-files v41.0.1 composite
.github/workflows/precommit_autoupdate.yml actions
  • actions/checkout v4 composite
  • actions/create-github-app-token v1 composite
  • actions/setup-python v5 composite
  • browniebroke/pre-commit-autoupdate-action v1.0.0 composite
  • peter-evans/create-pull-request v5 composite
.github/workflows/release.yml actions
  • actions/checkout v4 composite
  • actions/download-artifact v4 composite
  • actions/setup-python v5 composite
  • actions/upload-artifact v4 composite
  • nick-fields/retry v2 composite
  • pre-commit/action v3.0.0 composite
  • pypa/gh-action-pypi-publish release/v1 composite
.github/workflows/tests.yml actions
  • actions/checkout v4 composite
  • actions/setup-python v5 composite
  • codecov/codecov-action v3 composite
  • nick-fields/retry v2 composite
pyproject.toml pypi
  • numba >=0.55.0
  • numpy >=1.21.0
  • packaging >=20.0
  • pandas >=1.5.3
  • scikit-learn >=1.0.0