Factual package intelligence from PyPI
Gradient boosting regression model from Train In Data.
pip install tid-gradient-boosting-model
PyPI declares 11 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<1.1.0,>=1.0.2<1.1.0,>=1.0.2<1.1.0,>=1.0.1<1.4.0,>=1.3.2==0.16.12<1.9.0,>=1.8.1<4.0,>=3.2.2<42.0.0,>=41.4.0<0.34.0,>=0.33.6tid-gradient-boosting-model publishes 1 wheel and 1 source archive for version 0.3.0. Wheel platform tags: any.
Declared Python classifiers: 3.6, 3.7, 3.8.
PyPI lists 21 releases with files. The first dated release is ; 4 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .