InferLO
Python library for Inference, Learning and Optimization with Graphical Models.
Installing
Library can be installed using pip: pip install inferlo
Documentation
Documentation is available at https://inferlo.github.io/inferlo.
Contributing
You can contribute to the library by creating pull requests. Please follow these guideleines.
Authors
- Misha Chertkov
- Dmytro Fedoriaka
- Mikhail Krechetov
2 maintainers
Metadata
2 maintainers
Release files for inferlo 0.3.2
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
|---|---|---|---|---|
| inferlo-0.3.2.tar.gz | 89.8 kB | Without provenance | Details for inferlo-0.3.2.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| inferlo-0.3.2-py3-none-any.whl | Python 3 | none | any | Details for inferlo-0.3.2-py3-none-any.whl |
Total release size: 218.7 kB
Release files / inferlo-0.3.2.tar.gz
| Download URL | inferlo-0.3.2.tar.gz |
|---|---|
| Size | 89.8 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/7.0.0 CPython/3.14.7
|
Release files / inferlo-0.3.2-py3-none-any.whl
| Download URL | inferlo-0.3.2-py3-none-any.whl |
|---|---|
| Size | 128.8 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/7.0.0 CPython/3.14.7
|
Security for inferlo 0.3.2
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