Factual package intelligence from PyPI

inverse-canopy 0.0.22 package intelligence

Tensorflow based library for back-fitting event tree conditional/functional event probability distributions to match target end-state frequencies.

pip install inverse-canopy

Current version
0.0.22
Python requirement
>=3.10
License
GNU Affero General Public License v3 or later (AGPLv3+)
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
86.7 KiB
Release history
22 releases with files
Median release cadence
0 days

inverse-canopy dependencies

PyPI declares 20 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. tensorflow >=2.17.0
  2. tensorflow-probability >=0.24.0
  3. tf-keras >=2.17.0
  4. numpy >=1.26.4
  5. scipy >=1.14.0
  6. matplotlib >=3.9.2

Compatibility and release files

inverse-canopy publishes 1 wheel and 1 source archive for version 0.0.22. Wheel platform tags: any.

Declared Python classifiers: 3.10, 3.11, 3.12.

Release activity and sources

PyPI lists 22 releases with files. The first dated release is ; 22 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .