Factual package intelligence from PyPI
Taylor map flow is a package for a 'flowly' construction and learning of polynomial neural networks (PNN) for time-evolving process prediction
pip install tmflow
PyPI declares 8 unique dependency rules for this release. Environment markers are shown when supplied by the project.
<2.12,>=2.8<1.11,>=1.6<1.24,>=1.20~=1.8<0.57,>=0.55tmflow publishes 1 wheel and 1 source archive for version 0.5.0. Wheel platform tags: any.
Declared Python classifiers: 3.10, 3.9.
PyPI lists 5 releases with files. The first dated release is ; 5 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .