Skip to main content

Parametrization Cookbook

This is a module to handle bijective parametrizations for using Machine Learning methods in Statistical Inference.

Common transformation of constrained problems to unconstrained problems are implemented. See the documentation and examples in the documentation.

To install:

pip install --upgrade parametrization-cookbook

The documentation is available here.

Metadata

Release files for parametrization-cookbook 0.18

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

Built distribution (wheel)

Table of built distributions (wheels) for parametrization-cookbook 0.18
File Interpreter ABI Platform
parametrization_cookbook-0.18-py3-none-any.whl Python 3 none any Details

Release files / parametrization_cookbook-0.18-py3-none-any.whl

Download URL parametrization_cookbook-0.18-py3-none-any.whl
Size 44.4 kB
Tags Python 3
SHA-256 checksum
How to use checksums
a92565cb3b1dc0ccfea84a545d10a6582529c453672b2eb210df582130d85a69
BLAKE2b-256 checksum
How to use checksums
7f5f81d567305a26eb6c95bdb2c0c05ea71c41eb1a266733fa79a274f55ff2b8
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/4.0.2 CPython/3.9.16

Release history Release notifications | RSS feed

This release

0.18 This release

1 release file

0.17

1 release file

0.16

1 release file

0.15

1 release file

0.14

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