Instance Selection Methods
This project has the following algorithms:
- ENN
- The most pure Wilson Editing,
- and a modified version to work with self-training in case there are some instances that the author do not want them removed (safe).
- CNN
- RNN
- MSS
- ICF
- LocalSets
- LSSm
- LSBo
Release Notes
See the commit logs at https://github.com/dpr1005/Semisupervised-learning-and-instance-selection-methods.
1 maintainer
Metadata
1 maintainer
Release files for InstanceSelectionDNX 3.3
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Source distribution (sdist)
| File | Size | Uploaded | |
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| InstanceSelectionDNX-3.3.tar.gz | 3.3 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| InstanceSelectionDNX-3.3-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 10.9 kB
Release files / InstanceSelectionDNX-3.3.tar.gz
| Download URL | InstanceSelectionDNX-3.3.tar.gz |
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| Size | 3.3 kB |
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Release files / InstanceSelectionDNX-3.3-py3-none-any.whl
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| Size | 7.6 kB |
| Tags | Python 3 |
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twine/3.8.0 pkginfo/1.8.2 readme-renderer/32.0 requests/2.25.0 requests-toolbelt/0.9.1 urllib3/1.26.0 tqdm/4.62.3 importlib-metadata/4.10.1 keyring/23.5.0 rfc3986/2.0.0 colorama/0.4.4 CPython/3.7.12
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