A package based on scikit learn that uses subgroup discovery for machine learning.
1 maintainer
Metadata
1 maintainer
Release files for random-subgroups 0.4.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
|---|---|---|---|---|
| random-subgroups-0.4.1.tar.gz | 15.4 kB | Without provenance | Details for random-subgroups-0.4.1.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| random_subgroups-0.4.1-py3-none-any.whl | Python 3 | none | any | Details for random_subgroups-0.4.1-py3-none-any.whl |
Total release size: 33.9 kB
Release files / random-subgroups-0.4.1.tar.gz
| Download URL | random-subgroups-0.4.1.tar.gz |
|---|---|
| Size | 15.4 kB |
| Tags | Source |
|
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? |
No |
| Uploaded via |
twine/3.2.0 pkginfo/1.5.0.1 requests/2.24.0 setuptools/51.1.0 requests-toolbelt/0.9.1 tqdm/4.50.2 CPython/3.7.0
|
Release files / random_subgroups-0.4.1-py3-none-any.whl
| Download URL | random_subgroups-0.4.1-py3-none-any.whl |
|---|---|
| Size | 18.5 kB |
| 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 | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/3.2.0 pkginfo/1.5.0.1 requests/2.24.0 setuptools/51.1.0 requests-toolbelt/0.9.1 tqdm/4.50.2 CPython/3.7.0
|
Security for random-subgroups 0.4.1
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No provenance found
None of the files in this release were uploaded with provenance metadata.
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