Skip to main content

Code style: black CircleCI unit-tests Checked with mypy codecov

PyWhy-Stats

Pywhy-stats serves as Python library for implementations of various statistical methods, such as (un)conditional independence tests, which can be utilized in tasks like causal discovery.

Documentation

See the development version documentation.

Or see stable version documentation

Installation

Installation is best done via pip or conda. For developers, they can also install from source using pip. See installation page for full details.

Dependencies

Minimally, pywhy-stats requires:

* Python (>=3.8)
* numpy
* scipy
* scikit-learn

User Installation

If you already have a working installation of numpy and scipy, the easiest way to install pywhy-stats is using pip:

# doesn't work until we make an official release :p
pip install -U pywhy-stats

To install the package from github, clone the repository and then cd into the directory. You can then use poetry to install:

poetry install

# if you would like an editable install of pywhy-stats for dev purposes
pip install -e .

Contributing

We welcome contributions from the community. Please refer to our contributing document and developer document for information on developer workflows.

Metadata

Release files for pywhy-stats 0.1

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for pywhy-stats 0.1
File Size Uploaded
pywhy_stats-0.1.tar.gz 22.0 kB Details

Built distribution (wheel)

Table of built distributions (wheels) for pywhy-stats 0.1
File Interpreter ABI Platform
pywhy_stats-0.1-py3-none-any.whl Python 3 none any Details

Total release size: 49.3 kB

Release files / pywhy_stats-0.1.tar.gz

Download URL pywhy_stats-0.1.tar.gz
Size 22.0 kB
Tags Source
SHA-256 checksum
How to use checksums
3b2203d5da62c98b3f2ac2c15ec197f97241f1d5eb47746fa53ec51ebf4b4a2d
BLAKE2b-256 checksum
How to use checksums
1ff7e37cafbda76675ba14a5620c8a3548a69e9eedcbac9db587b5cce9b607c0
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via poetry/1.5.1 CPython/3.9.16 Darwin/22.6.0

Release files / pywhy_stats-0.1-py3-none-any.whl

Download URL pywhy_stats-0.1-py3-none-any.whl
Size 27.3 kB
Tags Python 3
SHA-256 checksum
How to use checksums
3e182bb81c1c0c48917b546483964aae6827b441222f58590ee7405bff635399
BLAKE2b-256 checksum
How to use checksums
a6ccddde5eae76cbc13641e03777c2055a65bab16275399123cdaaa3ddae0497
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via poetry/1.5.1 CPython/3.9.16 Darwin/22.6.0

Release history Release notifications | RSS feed

This release

0.1 This release

2 release files

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page