ML Caboodle
- Author: Marius Helf (helfsmarius@gmail.com)
All the stuff that doesn't have another home
Changelog
0.2.2
- chore: bump scikit-learn dependency to 1.0.0
0.2.1
- fix: speculative rounds not removed when out of candidates
0.2.0
- feature: BackwardFeatureElimination
- various bugfixes
0.1.1
- fix: ForwardFeatureSelection: return correct features when stopping after speculative rounds.
- improve logging output
0.1.0
- Initial release
License
1 maintainer
Metadata
1 maintainer
Release files for ml-caboodle 0.2.2
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| ml_caboodle-0.2.2.tar.gz | 5.1 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| ml_caboodle-0.2.2-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 11.3 kB
Release files / ml_caboodle-0.2.2.tar.gz
| Download URL | ml_caboodle-0.2.2.tar.gz |
|---|---|
| Size | 5.1 kB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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twine/3.7.1 importlib_metadata/4.10.0 pkginfo/1.8.2 requests/2.27.1 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.9.5
|
Release files / ml_caboodle-0.2.2-py3-none-any.whl
| Download URL | ml_caboodle-0.2.2-py3-none-any.whl |
|---|---|
| Size | 6.2 kB |
| Tags | Python 3 |
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SHA-256 checksum How to use checksums |
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twine/3.7.1 importlib_metadata/4.10.0 pkginfo/1.8.2 requests/2.27.1 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.9.5
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