Inference, Learning & Optimization with Graphical Models
Project description
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
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file inferlo-0.3.1.tar.gz.
File metadata
- Download URL: inferlo-0.3.1.tar.gz
- Upload date:
- Size: 87.1 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.7.1 importlib_metadata/4.10.0 pkginfo/1.8.2 requests/2.27.1 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.10.1
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
ddae449c71cfd6dc86bcb17a019982d631b9905c600596046df54bbc07d726ff
|
|
| MD5 |
72457a0ce050e367bc69c62708af3574
|
|
| BLAKE2b-256 |
9062fc7fd29bdbf5bc1bae008184184354007f3ee6ca726a0b3fa2179141c16a
|
File details
Details for the file inferlo-0.3.1-py3-none-any.whl.
File metadata
- Download URL: inferlo-0.3.1-py3-none-any.whl
- Upload date:
- Size: 125.9 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.7.1 importlib_metadata/4.10.0 pkginfo/1.8.2 requests/2.27.1 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.10.1
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
daf310a50f9fa6858b04fd179cfdf9dbd4ebe8f8082178f86fe910a2ae9f9d25
|
|
| MD5 |
fae30a9c6ee387cc7f12813241b66f78
|
|
| BLAKE2b-256 |
e5234f4978ab3908cae2456218ff3b5f1851ea014852b721d7fca4b11c8d1f22
|
