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
benchmarking data-science evaluation machine-learning python time-series
Last synced: 11 months ago
JSON representation
Evaluation tools for time series machine learning algorithms.
- Host: GitHub
- URL: https://github.com/time-series-machine-learning/tsml-eval
- Owner: time-series-machine-learning
- License: bsd-3-clause
- Created: 2022-06-30T13:23:16.000Z (about 4 years ago)
- Default Branch: main
- Last Pushed: 2024-06-17T09:52:26.000Z (about 2 years ago)
- Last Synced: 2024-06-17T10:39:28.992Z (about 2 years ago)
- Topics: benchmarking, data-science, evaluation, machine-learning, python, time-series
- Language: Jupyter Notebook
- Homepage: https://tsml-eval.readthedocs.io/
- Size: 21.2 MB
- Stars: 25
- Watchers: 7
- Forks: 9
- Open Issues: 23
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
README
[](https://github.com/time-series-machine-learning/tsml-eval/actions/workflows/release.yml)
[](https://github.com/time-series-machine-learning/tsml-eval/actions/workflows/pr_pytest.yml)
[](https://github.com/time-series-machine-learning/tsml-eval/actions/workflows/periodic_tests.yml)
[](https://tsml-eval.readthedocs.io/en/stable/)
[](https://tsml-eval.readthedocs.io/en/latest/)
[](https://codecov.io/gh/time-series-machine-learning/tsml-eval)
[](https://scorecard.dev/viewer/?uri=github.com/time-series-machine-learning/tsml-eval)
[](https://pypi.org/project/tsml-eval/)
[](https://anaconda.org/conda-forge/tsml-eval)
[](https://www.python.org/)
[](https://github.com/psf/black)
[](https://github.com/time-series-machine-learning/tsml-eval/blob/main/LICENSE)
[](https://mybinder.org/v2/gh/time-series-machine-learning/tsml-eval/main?filepath=examples)
# 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](https://tsml-eval.readthedocs.io/en/stable/installation.html).
## Acknowledgements
This work is supported by the UK Engineering and Physical Sciences Research Council
(EPSRC) EP/W030756/2