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Hidden Markov models in PyMC3

copied from cf-staging / pymc3-hmm

Installers

  • noarch v0.2.5

conda install

To install this package run one of the following:
conda install conda-forge::pymc3-hmm

Description

Fully implemented PyMC3 Distribution classes for HMM state sequences (DiscreteMarkovChain) and mixtures that are driven by them (SwitchingProcess). A forward-filtering backward-sampling (FFBS) implementation (FFBSStep) that works with NUTS—or any other PyMC3 sampler. A conjugate Dirichlet transition matrix sampler (TransMatConjugateStep). Support for time-varying transition matrices in the FFBS sampler and all the relevant Distribution classes.


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