Skip to main content

Compute the Fisher Information Matrix (FIM) of your favorite JAX models

Project description

WeJAX

Compute the Fisher Information Matrix (FIM) of your favorite models using their Jacobians; take advantage of automatic differentiation if your model is implemented in JAX to switly compute the Jacobian, or evaluate it numerically with finite differences.

WeJAX also provide convenience fonctions to invert the FIM and compute error bars and correlations on the estimated parameters, as well as nice-looking plots.

Contributing

This project uses Poetry for dependency management. To install the dependencies and the project itself, run the following command:

poetry install

You can now run commands inside a dedicated virtual environment by running:

poetry run <your-command>

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

wejax-1.0.1.tar.gz (12.0 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

wejax-1.0.1-py3-none-any.whl (13.0 kB view details)

Uploaded Python 3

File details

Details for the file wejax-1.0.1.tar.gz.

File metadata

  • Download URL: wejax-1.0.1.tar.gz
  • Upload date:
  • Size: 12.0 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/2.0.1 CPython/3.12.11 Linux/5.15.154+

File hashes

Hashes for wejax-1.0.1.tar.gz
Algorithm Hash digest
SHA256 e833d75131f29f4f1cb935348c52a584a9b9fd8923368c00be8be9dfb2978699
MD5 68fa7dd85bdb56f747f17f7af4b4befc
BLAKE2b-256 fbb253829d1df61d99de319ac7aa1b0038ce166158c884d5062b4a083b6b3829

See more details on using hashes here.

File details

Details for the file wejax-1.0.1-py3-none-any.whl.

File metadata

  • Download URL: wejax-1.0.1-py3-none-any.whl
  • Upload date:
  • Size: 13.0 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/2.0.1 CPython/3.12.11 Linux/5.15.154+

File hashes

Hashes for wejax-1.0.1-py3-none-any.whl
Algorithm Hash digest
SHA256 e56e18e03d434969f8448b47796d353ded4d65b92ccab9b830cccff8842bbcbb
MD5 65c842cbb1a65d8dbad195db1a667009
BLAKE2b-256 58d3afe92c4158baa0f00b4f1ead015f93d2dc9dcda746a94758ea9509426af1

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page