pyemma.msm.SampledHMSM
======================

.. currentmodule:: pyemma.msm

.. autoclass:: SampledHMSM

   
   .. automethod:: __init__

   
   .. rubric:: Methods

   .. autosummary::
   
      ~SampledHMSM.__init__
      ~SampledHMSM.committor_backward
      ~SampledHMSM.committor_forward
      ~SampledHMSM.correlation
      ~SampledHMSM.eigenvalues
      ~SampledHMSM.eigenvectors_left
      ~SampledHMSM.eigenvectors_right
      ~SampledHMSM.expectation
      ~SampledHMSM.fingerprint_correlation
      ~SampledHMSM.fingerprint_relaxation
      ~SampledHMSM.get_model_params
      ~SampledHMSM.mfpt
      ~SampledHMSM.pcca
      ~SampledHMSM.propagate
      ~SampledHMSM.relaxation
      ~SampledHMSM.sample_conf
      ~SampledHMSM.sample_f
      ~SampledHMSM.sample_mean
      ~SampledHMSM.sample_std
      ~SampledHMSM.set_model_params
      ~SampledHMSM.simulate
      ~SampledHMSM.submodel
      ~SampledHMSM.timescales
      ~SampledHMSM.transition_matrix_obs
      ~SampledHMSM.update_model_params
   
   

   
   
   .. rubric:: Attributes

   .. autosummary::
   
      ~SampledHMSM.P
      ~SampledHMSM.dt_model
      ~SampledHMSM.eigenvectors_left_obs
      ~SampledHMSM.eigenvectors_right_obs
      ~SampledHMSM.is_reversible
      ~SampledHMSM.is_sparse
      ~SampledHMSM.lifetimes
      ~SampledHMSM.metastable_assignments
      ~SampledHMSM.metastable_distributions
      ~SampledHMSM.metastable_memberships
      ~SampledHMSM.metastable_sets
      ~SampledHMSM.neig
      ~SampledHMSM.nstates
      ~SampledHMSM.nstates_obs
      ~SampledHMSM.observation_probabilities
      ~SampledHMSM.pi
      ~SampledHMSM.reversible
      ~SampledHMSM.sparse
      ~SampledHMSM.stationary_distribution
      ~SampledHMSM.stationary_distribution_obs
      ~SampledHMSM.timestep_model
      ~SampledHMSM.transition_matrix