pyemma\.msm\.BayesianMSM
========================

.. currentmodule:: pyemma.msm

.. autoclass:: BayesianMSM

   
   .. automethod:: __init__

   
   .. rubric:: Methods

   .. autosummary::
   
      ~BayesianMSM.__init__
      ~BayesianMSM.cktest
      ~BayesianMSM.coarse_grain
      ~BayesianMSM.committor_backward
      ~BayesianMSM.committor_forward
      ~BayesianMSM.correlation
      ~BayesianMSM.eigenvalues
      ~BayesianMSM.eigenvectors_left
      ~BayesianMSM.eigenvectors_right
      ~BayesianMSM.estimate
      ~BayesianMSM.expectation
      ~BayesianMSM.fingerprint_correlation
      ~BayesianMSM.fingerprint_relaxation
      ~BayesianMSM.fit
      ~BayesianMSM.generate_traj
      ~BayesianMSM.get_model_params
      ~BayesianMSM.get_params
      ~BayesianMSM.hmm
      ~BayesianMSM.load
      ~BayesianMSM.mfpt
      ~BayesianMSM.pcca
      ~BayesianMSM.propagate
      ~BayesianMSM.relaxation
      ~BayesianMSM.sample_by_distributions
      ~BayesianMSM.sample_by_state
      ~BayesianMSM.sample_conf
      ~BayesianMSM.sample_f
      ~BayesianMSM.sample_mean
      ~BayesianMSM.sample_std
      ~BayesianMSM.save
      ~BayesianMSM.score
      ~BayesianMSM.score_cv
      ~BayesianMSM.set_model_params
      ~BayesianMSM.set_params
      ~BayesianMSM.simulate
      ~BayesianMSM.timescales
      ~BayesianMSM.trajectory_weights
      ~BayesianMSM.update_model_params