Changelogs » Bayesian-hmm

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Bayesian-hmm

0.0.3

* README expanded to include more usage (plotting of posteriors from mcmc results)
  * Multiprocessing pool now closed after parallel chain resampling
  * MCMC steps reordered
  * Latent states only updated at the start of each MCMC step, not within the count update step
  * Improve code hygeine, moving non-class code to separate module
  * Store aggregate `None` state within the parameter dictionaries

0.0.2

* All `HDPHMM` parameters and parameter priors now stored in dict objects `HDPHMM.parameters` and `HDPHMM.priors`
  * `HDPHMM.mcmc` now returns a dict object

0.0.1

* Initial release

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