Factual package intelligence from PyPI
Example multiclass model package from Train In Data.
pip install tid-multiclass-model
PyPI declares 8 unique dependency rules for this release. Environment markers are shown when supplied by the project.
<1.21.8,>=1.20.0<1.4.0,>=1.3.5<1.9.0,>=1.8.1<1.1.0,>=1.0.1<1.4.0,>=1.3.2==0.16.12<1.5.0,>=1.0.2<1.1.0,>=0.0.1tid-multiclass-model publishes 1 wheel and 1 source archive for version 0.1.0. Wheel platform tags: any.
Declared Python classifiers: 3.6, 3.7, 3.8, 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 .