pyemma\.msm\.BayesianHMSM
=========================

.. currentmodule:: pyemma.msm

.. autoclass:: BayesianHMSM

   
   .. automethod:: __init__

   
   .. rubric:: Methods

   .. autosummary::
   
      ~BayesianHMSM.__init__
      ~BayesianHMSM.cktest
      ~BayesianHMSM.committor_backward
      ~BayesianHMSM.committor_forward
      ~BayesianHMSM.correlation
      ~BayesianHMSM.eigenvalues
      ~BayesianHMSM.eigenvectors_left
      ~BayesianHMSM.eigenvectors_right
      ~BayesianHMSM.estimate
      ~BayesianHMSM.expectation
      ~BayesianHMSM.fingerprint_correlation
      ~BayesianHMSM.fingerprint_relaxation
      ~BayesianHMSM.fit
      ~BayesianHMSM.get_model_params
      ~BayesianHMSM.get_params
      ~BayesianHMSM.load
      ~BayesianHMSM.mfpt
      ~BayesianHMSM.pcca
      ~BayesianHMSM.propagate
      ~BayesianHMSM.relaxation
      ~BayesianHMSM.sample_by_observation_probabilities
      ~BayesianHMSM.sample_conf
      ~BayesianHMSM.sample_f
      ~BayesianHMSM.sample_mean
      ~BayesianHMSM.sample_std
      ~BayesianHMSM.save
      ~BayesianHMSM.set_model_params
      ~BayesianHMSM.set_params
      ~BayesianHMSM.simulate
      ~BayesianHMSM.submodel
      ~BayesianHMSM.submodel_disconnect
      ~BayesianHMSM.submodel_largest
      ~BayesianHMSM.submodel_populous
      ~BayesianHMSM.timescales
      ~BayesianHMSM.trajectory_weights
      ~BayesianHMSM.transition_matrix_obs
      ~BayesianHMSM.update_model_params