pyemma.msm.ui.EstimatedMSM
==========================

.. currentmodule:: pyemma.msm.ui

.. autoclass:: EstimatedMSM

   
   .. automethod:: __init__

   
   .. rubric:: Methods

   .. autosummary::
   
      ~EstimatedMSM.__init__
      ~EstimatedMSM.committor_backward
      ~EstimatedMSM.committor_forward
      ~EstimatedMSM.correlation
      ~EstimatedMSM.eigenvalues
      ~EstimatedMSM.eigenvectors_left
      ~EstimatedMSM.eigenvectors_right
      ~EstimatedMSM.estimate
      ~EstimatedMSM.expectation
      ~EstimatedMSM.fingerprint_correlation
      ~EstimatedMSM.fingerprint_relaxation
      ~EstimatedMSM.generate_traj
      ~EstimatedMSM.mfpt
      ~EstimatedMSM.pcca
      ~EstimatedMSM.relaxation
      ~EstimatedMSM.sample_by_distributions
      ~EstimatedMSM.sample_by_state
      ~EstimatedMSM.timescales
      ~EstimatedMSM.trajectory_weights
   
   

   
   
   .. rubric:: Attributes

   .. autosummary::
   
      ~EstimatedMSM.active_count_fraction
      ~EstimatedMSM.active_set
      ~EstimatedMSM.active_state_fraction
      ~EstimatedMSM.active_state_indexes
      ~EstimatedMSM.computed
      ~EstimatedMSM.connected_sets
      ~EstimatedMSM.count_matrix_active
      ~EstimatedMSM.count_matrix_full
      ~EstimatedMSM.discrete_trajectories_active
      ~EstimatedMSM.discrete_trajectories_full
      ~EstimatedMSM.effective_count_matrix
      ~EstimatedMSM.is_reversible
      ~EstimatedMSM.is_sparse
      ~EstimatedMSM.lagtime
      ~EstimatedMSM.largest_connected_set
      ~EstimatedMSM.metastable_assignments
      ~EstimatedMSM.metastable_distributions
      ~EstimatedMSM.metastable_memberships
      ~EstimatedMSM.metastable_sets
      ~EstimatedMSM.nstates
      ~EstimatedMSM.stationary_distribution
      ~EstimatedMSM.timestep
      ~EstimatedMSM.transition_matrix