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Published August 31, 2016 | Version v1.1
Software Open

pypmc: Version 1.1

Authors/Creators

  • 1. Excellence cluster universe, LMU

Description

New features
  • ImportanceSampler optionally stores the values of the target density
  • plot_mixture can color components based on their weight rather than their index
  • the new PMC class can run multiple EM updates until convergence
Fixes
  • fix installation on mac without cython
  • compatible to newer version of numpy
  • fix too large a prune value in GaussianInference
Breaking changes
  • remove DeterministicIS. No class was needed, all the functionality is now contained in combine_weights
  • MarkovChain and ImportanceSampler don't have a combined history anymore, weights and samples are accessible as their own History objects

Files

pypmc-v1.1.zip

Files (157.5 kB)

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Additional details

Related works

Is supplement to
https://github.com/fredRos/pypmc/tree/v1.1 (URL)