Factual package intelligence from PyPI
An ensemble predictor that uses a deep neural network for effector prediction. Input is a dataframe of predictions from kingdom-specific programs.
pip install fimep
PyPI declares 5 unique dependency rules for this release. Environment markers are shown when supplied by the project.
>=1.26.4>=2.2.3>=3.6.0>=2.16.2>=1.85fimep publishes 1 wheel and 0 source archives for version 0.1.3. Wheel platform tags: any.
No version-specific Python classifiers are declared.
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 .