tsml-eval
tsml-eval contains benchmarking and evaluation tools for time series machine learning
algorithms.
The current release of tsml-eval is v0.7.0.
Installation
tsml-eval is available on PyPI and can be installed via pip:
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
Metadata
Release files for tsml-eval 0.7.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| tsml_eval-0.7.0.tar.gz | 17.5 MB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| tsml_eval-0.7.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 35.7 MB
Release files / tsml_eval-0.7.0.tar.gz
| Download URL | tsml_eval-0.7.0.tar.gz |
|---|---|
| Size | 17.5 MB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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Yes |
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twine/7.0.0 CPython/3.13.14
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Transparency logRelease files / tsml_eval-0.7.0-py3-none-any.whl
| Download URL | tsml_eval-0.7.0-py3-none-any.whl |
|---|---|
| Size | 18.2 MB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/7.0.0 CPython/3.13.14
|
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
PyPI Publish Attestation
PyPI verified that this artifact, at this checksum, originated from the publisher listed below.
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