Factual package intelligence from PyPI
Segmentools provide low and high levels utilities to train, evaluate and deploy models. Low levels classes and functions are usefull develop new method while keeping data formats uniforms and high level classes allow to write scripts in a very concise and understable way.
pip install segmentools
PyPI declares 11 unique dependency rules for this release. Environment markers are shown when supplied by the project.
==3.8.2==2.1.0==0.16.0==2.1.4==2.15.1==3.1.9==3.1.2==0.13.0==0.1.2==1.3.0segmentools publishes 1 wheel and 1 source archive for version 0.1.0. Wheel platform tags: any.
Declared Python classifiers: 3.10, 3.11.
PyPI does not currently declare: license. PyDeps marks these fields as unknown instead of guessing values.
PyPI lists 1 release with files. The first dated release is ; 1 release falls within the 365 days preceding the latest dated release. The current release files were uploaded on .