pyemma.msm.SampledMSM
=====================

.. currentmodule:: pyemma.msm

.. autoclass:: SampledMSM

   
   .. automethod:: __init__

   
   .. rubric:: Methods

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

   
   
   .. rubric:: Attributes

   .. autosummary::
   
      ~SampledMSM.P
      ~SampledMSM.dt_model
      ~SampledMSM.is_reversible
      ~SampledMSM.is_sparse
      ~SampledMSM.metastable_assignments
      ~SampledMSM.metastable_distributions
      ~SampledMSM.metastable_memberships
      ~SampledMSM.metastable_sets
      ~SampledMSM.neig
      ~SampledMSM.nstates
      ~SampledMSM.pi
      ~SampledMSM.reversible
      ~SampledMSM.sparse
      ~SampledMSM.stationary_distribution
      ~SampledMSM.timestep_model
      ~SampledMSM.transition_matrix