Factual package intelligence from PyPI
superduper allows users to work with arbitrary sklearn estimators, with additional support for pre-, post-processing and input/ output data-types.
pip install superduper-redis
PyPI declares 1 unique dependency rule for this release. Environment markers are shown when supplied by the project.
superduper-redis publishes 1 wheel and 1 source archive for version 0.10.0. Wheel platform tags: any.
No version-specific Python classifiers are declared.
PyPI does not currently declare: license. PyDeps marks these fields as unknown instead of guessing values.
PyPI lists 4 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 .