About Anaconda Help Download Anaconda

main / packages / pomegranate 1.1.2

A PyTorch implementation of probabilistic models.

Installers

  • linux-aarch64 v1.1.2
  • osx-64 v1.1.2
  • osx-arm64 v1.1.2
  • win-64 v1.1.2
  • linux-64 v1.1.2
  • linux-32 v0.10.0
  • linux-ppc64le v0.14.4
  • win-32 v0.14.4

conda install

To install this package run one of the following:
conda install main::pomegranate

Description

pomegranate is a library for probabilistic modeling defined by its modular implementation and treatment of all models as the probability distributions they are. The modular implementation allows one to easily drop normal distributions into a mixture model to create a Gaussian mixture model just as easily as dropping a gamma and a Poisson distribution into a mixture model to create a heterogeneous mixture. But that's not all! Because each model is treated as a probability distribution, Bayesian networks can be dropped into a mixture just as easily as a normal distribution, and hidden Markov models can be dropped into Bayes classifiers to make a classifier over sequences. Together, these two design choices enable a flexibility not seen in any other probabilistic modeling package.


© 2025 Anaconda, Inc. All Rights Reserved. (v4.2.2) Legal | Privacy Policy