An implementation of the divergence framework as described here https://arxiv.org/abs/2405.06397
Project description
IWPC
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
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 iwpc-0.3.7.tar.gz.
File metadata
- Download URL: iwpc-0.3.7.tar.gz
- Upload date:
- Size: 52.5 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.1.1 CPython/3.9.6
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
792b1ddd99bd22b4c63ac73c8e585eb43de7df00cf8cf77a28714fc89b4991d5
|
|
| MD5 |
6b2bdd704a6eeb45cf6928643ee524c0
|
|
| BLAKE2b-256 |
fb020ba412562d4095a0b7768cb7ec01f614db1e842b6ef054615d8866f26681
|
File details
Details for the file iwpc-0.3.7-py3-none-any.whl.
File metadata
- Download URL: iwpc-0.3.7-py3-none-any.whl
- Upload date:
- Size: 69.7 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 |
e170e41fdc002fd0f7f77d77120424a66c70a435e05245005eac8174358a46db
|
|
| MD5 |
ca3aecf8e5c46205dc55f7eac093bb33
|
|
| BLAKE2b-256 |
8c53370dfad080b85ad98648a37ba848bb3b82c85f845b59ca4a6f2c21d91cbd
|
