This release is a pre-release and may not be stable for production use.
irmlearn
irmlearn is a algorithms for Infinite Relational Model.
Dependencies
The required dependencies to use irmlearn are,
scikit-learn
numpy
scipy
You also need matplotlib, seaborn to run the demo and pytest to run the tests.
install
pip install irmlearnUSAGE
We have posted a usage example in the github’s demo folder.
License
This code is licensed under MIT License.
Test
python setup.py test1 maintainer
Metadata
1 maintainer
Release files for irmlearn 0.0.1b1
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Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
|---|---|---|---|---|
| irmlearn-0.0.1b1.tar.gz | 7.4 kB | Without provenance | Details for irmlearn-0.0.1b1.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| irmlearn-0.0.1b1-py3-none-any.whl | Python 3 | none | any | Details for irmlearn-0.0.1b1-py3-none-any.whl |
Total release size: 14.9 kB
Release files / irmlearn-0.0.1b1.tar.gz
| Download URL | irmlearn-0.0.1b1.tar.gz |
|---|---|
| Size | 7.4 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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Release files / irmlearn-0.0.1b1-py3-none-any.whl
| Download URL | irmlearn-0.0.1b1-py3-none-any.whl |
|---|---|
| Size | 7.5 kB |
| Tags | Python 3 |
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SHA-256 checksum How to use checksums |
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twine/3.4.2 importlib_metadata/4.8.1 pkginfo/1.7.1 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.59.0 CPython/3.7.10
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