randomSCM
The Bootstrap aggregating version of the great SCM
Installation
from PyPI :
pip install randomscm
from source code :
git clone git@github.com:thibgo/randomscm.git
python -m pip install .
Usage
from randomscm import RandomScmClassifier
classifier = RandomScmClassifier()
Classifier implements most of scikit-learn standard methods.
Contributors
- Thibaud Godon (maintainer)
- Elina Francovic-Fontaine
- Baptiste Bauvin
1 maintainer
Metadata
1 maintainer
Release files for randomscm 0.1.2
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| randomscm-0.1.2.tar.gz | 17.3 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| randomscm-0.1.2-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 34.8 kB
Release files / randomscm-0.1.2.tar.gz
| Download URL | randomscm-0.1.2.tar.gz |
|---|---|
| Size | 17.3 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/5.1.1 CPython/3.11.2
|
Release files / randomscm-0.1.2-py3-none-any.whl
| Download URL | randomscm-0.1.2-py3-none-any.whl |
|---|---|
| Size | 17.5 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 | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/5.1.1 CPython/3.11.2
|
