An implementation of the divergence framework as described here https://arxiv.org/abs/2405.06397
Project description
IWPC - I Will Prove Convergence
This package implements the methods described in the research paper https://arxiv.org/abs/2405.06397 for estimating a lower bound on the divergence between any two distributions, p and q, using samples from each distribution.
Install using pip install iwpc
Please see the package README on bitbucket for more information and some examples.
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
iwpc-0.3.2.tar.gz
(50.6 kB
view details)
Built Distribution
iwpc-0.3.2-py3-none-any.whl
(67.3 kB
view details)
File details
Details for the file iwpc-0.3.2.tar.gz.
File metadata
- Download URL: iwpc-0.3.2.tar.gz
- Upload date:
- Size: 50.6 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.1.1 CPython/3.9.6
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | ff19f0494a3429584de27d476cfa52a1fe810e36d403aaa7addce43c6ce89f15 |
|
| MD5 | e9296b02bbe4b64fc6cfe2cb185b6328 |
|
| BLAKE2b-256 | 6473c177c2735dc13f041ff4cdeae32b0bb124a355dea7e329af48522f490839 |
File details
Details for the file iwpc-0.3.2-py3-none-any.whl.
File metadata
- Download URL: iwpc-0.3.2-py3-none-any.whl
- Upload date:
- Size: 67.3 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.1.1 CPython/3.9.6
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | 2e3467b72832e65cc9c02683f7afd722edf24d9c7eacbe2d69f578a3e0081be4 |
|
| MD5 | b0a8adf12b72016858678d253b69b4bc |
|
| BLAKE2b-256 | ede22cd4d8f59e8ef9620b9a901d42e7b4ef8a120fa6202e083c8ae5046b9f74 |
