Factual package intelligence from PyPI
Automated Machine Learning for Quantum Computing — bring your data, we build the quantum model.
pip install quantum-automl
PyPI declares 28 unique dependency rules for this release. Environment markers are shown when supplied by the project.
<2.0.0,>=1.24.0<4.0.0,>=3.0.0<3.0.0,>=2.0.0<1.0.0,>=0.14.0<1.0.0,>=0.3.0<1.0.0,>=0.7.0<2.0.0,>=1.0.0<2.0.0,>=1.3.0The compact report shows 12 of 28 declarations. The interactive dependency graph loads the complete metadata.
quantum-automl publishes 1 wheel and 1 source archive for version 0.1.0. Wheel platform tags: any.
Declared Python classifiers: 3.10, 3.11, 3.12, 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 .