Binary package “python3-pomegranate” in ubuntu lunar
Fast, flexible and easy to use probabilistic modelling
pomegranate is a package for probabilistic models in Python that is
implemented in cython for speed. It's focus is on merging the easy-to-use
scikit-learn API with the modularity that comes with probabilistic
modeling to allow users to specify complicated models without needing to
worry about implementation details. The models are built from the ground
up with big data processing in mind and so natively support features
like out-of-core learning and parallelism.
Source package
Published versions
- python3-pomegranate 0.14.8-3build1 in amd64 (Proposed)
- python3-pomegranate 0.14.8-3build1 in amd64 (Release)
- python3-pomegranate 0.14.8-3build1 in arm64 (Proposed)
- python3-pomegranate 0.14.8-3build1 in arm64 (Release)
- python3-pomegranate 0.14.8-3build1 in armhf (Proposed)
- python3-pomegranate 0.14.8-3build1 in armhf (Release)
- python3-pomegranate 0.14.8-3build1 in ppc64el (Proposed)
- python3-pomegranate 0.14.8-3build1 in ppc64el (Release)
- python3-pomegranate 0.14.8-3build1 in riscv64 (Proposed)
- python3-pomegranate 0.14.8-3build1 in riscv64 (Release)
- python3-pomegranate 0.14.8-3build1 in s390x (Proposed)
- python3-pomegranate 0.14.8-3build1 in s390x (Release)