discrete undirected probabilistic models
Project description
Copyright (c) 2019 Nico Piatkowski
pxpy
The python library for discrete pairwise undirected graphical models.
FULL-FLEDGED README COMING SOON
Changelog
1.0a7: Multiple minor fixes; enabled marginal inference with observations; enabled minimal statistics
1.0a6: Added manual model creation; enabled training data with missing values
1.0a5: Fixed model management
1.0a4: Added model access in regularization and proximal hooks
1.0a3: Lower GLIBC requirement + removed libgomp dependency (linux)
1.0a2: Python 3.5 compatibility
1.0a1: Initial release
Release history Release notifications | RSS feed
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
File details
Details for the file pxpy-1.0a7.tar.gz.
File metadata
- Download URL: pxpy-1.0a7.tar.gz
- Upload date:
- Size: 9.3 MB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/2.0.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/41.6.0 requests-toolbelt/0.9.1 tqdm/4.36.1 CPython/3.7.4
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
a233596cbb2c25bb45edfcdf33c7ea2a1a0c3a24e4cd4ee8f2d76dca0a341edc
|
|
| MD5 |
a4931b7269f88d0e50045246f2cb6ace
|
|
| BLAKE2b-256 |
5da820dc5db86cfa1a4a9a98b20a4789d6521b2696553109a8ddc6a1d0f4a348
|
File details
Details for the file pxpy-1.0a7-py3-none-any.whl.
File metadata
- Download URL: pxpy-1.0a7-py3-none-any.whl
- Upload date:
- Size: 9.4 MB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/2.0.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/41.6.0 requests-toolbelt/0.9.1 tqdm/4.36.1 CPython/3.7.4
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
11005c8a8d02fcefce154bff57af4087abf30238ff73ac95a9b0d573a5532b9f
|
|
| MD5 |
7be00c977f7f8435ef9c5dd75f216227
|
|
| BLAKE2b-256 |
c2f1bc71ce863694fa3ff12b021b11ec6e3a8783d7beebb101a3709afda24da0
|
