scfit
Training models with native annbatch wiring
Getting started
Please refer to the documentation, in particular, the API documentation.
Installation
You need to have Python 3.12 or newer installed on your system. If you don't have Python installed, we recommend installing uv.
We recommend managing dependencies in project-specific virtual environments to avoid dependency conflicts. This is most convenient using package managers such as uv. Choose from the options below to install scfit:
-
Install the latest development version:
pip install git+https://github.com/selmanozleyen/scfit.git # (or `uv add`)
Release notes
See the changelog.
Contact
For questions and help requests, you can reach out in the scverse discourse. If you found a bug, please use the issue tracker.
Citation
t.b.a
1 maintainer
Metadata
1 maintainer
Release files for scfit 0.0.9
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Source distribution (sdist)
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Built distribution (wheel)
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|---|---|---|---|---|
| scfit-0.0.9-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 121.1 kB
Release files / scfit-0.0.9.tar.gz
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| Tags | Source |
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| Download URL | scfit-0.0.9-py3-none-any.whl |
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| Size | 47.8 kB |
| Tags | Python 3 |
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SHA-256 checksum How to use checksums |
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twine/7.0.0 CPython/3.13.14
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Transparency logSecurity for scfit 0.0.9
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