pyemma\.msm\.MaximumLikelihoodMSM
=================================

.. currentmodule:: pyemma.msm

.. autoclass:: MaximumLikelihoodMSM

   
   .. automethod:: __init__

   
   .. rubric:: Methods

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