This library contains APIs for Galaxy machine learning tools(Galaxy-ML).
Galaxy-ML is a web machine learning end-to-end pipeline building framework, with special support to biomedical data. Under the management of unified scikit-learn APIs, cutting-edge machine learning libraries (scikit-learn, tensorflow, mlxtend, imbalanced-learn, and more) are combined together to provide thousands of different pipelines suitable for various needs. In the form of Galalxy tools, Galaxy-ML provides scalabe, reproducible and transparent machine learning computations.
This library and tools are hosted at https://github.com/geockslab/Galaxy-ML.
The documentation can be found at https://goeckslab.github.io/Galaxy-ML/
Metadata
Release files for Galaxy-ML 0.11.0
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Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
|---|---|---|---|---|
| galaxy_ml-0.11.0.tar.gz | 276.3 kB | With provenance | Details for galaxy_ml-0.11.0.tar.gz |
Release files / galaxy_ml-0.11.0.tar.gz
| Download URL | galaxy_ml-0.11.0.tar.gz |
|---|---|
| Size | 276.3 kB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
9155c5682413bd0aa47ce6112bee559bf49e2ae82ad30cb535401e049174b9d8
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BLAKE2b-256 checksum How to use checksums |
ebfbf893a8919915e8fe271ec14bfcb4f1daa6e4b506bc9c2e711c498e60bd96
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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
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PyPI Publish Attestation
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Signed by GitHub Actions, verified by PyPI on Sep 29, 2026.
Transparency logSecurity for Galaxy-ML 0.11.0
Provenance
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Full provenance
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Attestation for galaxy_ml-0.11.0.tar.gz
PyPI Publish Attestation
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Signed by GitHub Actions, verified by PyPI on Sep 29, 2026.
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