Factual package intelligence from PyPI
Example Titanic dataset classification model package from Train In Data.
pip install survival-titanic
PyPI declares 8 unique dependency rules for this release. Environment markers are shown when supplied by the project.
<1.21.0,>=1.20.0<1.4.0,>=1.3.5<1.9.0,>=1.8.1<1.1.0,>=1.0.2<1.4.0,>=1.3.2==0.16.12<1.3.0,>=1.0.2<1.1.0,>=1.0.1survival-titanic publishes 1 wheel and 1 source archive for version 0.0.20. Wheel platform tags: any.
Declared Python classifiers: 3.7, 3.8, 3.9.
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 .