pyemma.msm.MaximumLikelihoodMSM =============================== .. currentmodule:: pyemma.msm .. autoclass:: MaximumLikelihoodMSM .. automethod:: __init__ .. rubric:: Methods .. autosummary:: ~MaximumLikelihoodMSM._Loggable__create_logger ~MaximumLikelihoodMSM._SerializableMixIn__interpolate ~MaximumLikelihoodMSM.__delattr__ ~MaximumLikelihoodMSM.__dir__ ~MaximumLikelihoodMSM.__eq__ ~MaximumLikelihoodMSM.__format__ ~MaximumLikelihoodMSM.__ge__ ~MaximumLikelihoodMSM.__getattribute__ ~MaximumLikelihoodMSM.__getstate__ ~MaximumLikelihoodMSM.__gt__ ~MaximumLikelihoodMSM.__init__ ~MaximumLikelihoodMSM.__init_subclass__ ~MaximumLikelihoodMSM.__le__ ~MaximumLikelihoodMSM.__lt__ ~MaximumLikelihoodMSM.__my_getstate__ ~MaximumLikelihoodMSM.__my_setstate__ ~MaximumLikelihoodMSM.__ne__ ~MaximumLikelihoodMSM.__new__ ~MaximumLikelihoodMSM.__reduce__ ~MaximumLikelihoodMSM.__reduce_ex__ ~MaximumLikelihoodMSM.__repr__ ~MaximumLikelihoodMSM.__setattr__ ~MaximumLikelihoodMSM.__setstate__ ~MaximumLikelihoodMSM.__sizeof__ ~MaximumLikelihoodMSM.__str__ ~MaximumLikelihoodMSM.__subclasshook__ ~MaximumLikelihoodMSM._assert_in_active ~MaximumLikelihoodMSM._assert_metastable ~MaximumLikelihoodMSM._blocksplit_dtrajs ~MaximumLikelihoodMSM._check_estimated ~MaximumLikelihoodMSM._check_is_estimated ~MaximumLikelihoodMSM._cleanup_logger ~MaximumLikelihoodMSM._committor_backward ~MaximumLikelihoodMSM._committor_forward ~MaximumLikelihoodMSM._compute_eigendecomposition ~MaximumLikelihoodMSM._compute_eigenvalues ~MaximumLikelihoodMSM._ensure_eigendecomposition ~MaximumLikelihoodMSM._ensure_eigenvalues ~MaximumLikelihoodMSM._estimate ~MaximumLikelihoodMSM._get_classes_to_inspect ~MaximumLikelihoodMSM._get_dtraj_stats ~MaximumLikelihoodMSM._get_interpolation_map ~MaximumLikelihoodMSM._get_model_param_names ~MaximumLikelihoodMSM._get_param_names ~MaximumLikelihoodMSM._get_private_field ~MaximumLikelihoodMSM._get_serialize_fields ~MaximumLikelihoodMSM._get_state_of_serializeable_fields ~MaximumLikelihoodMSM._get_version ~MaximumLikelihoodMSM._get_version_for_class_from_state ~MaximumLikelihoodMSM._logger_is_active ~MaximumLikelihoodMSM._mfpt ~MaximumLikelihoodMSM._prepare_input_revpi ~MaximumLikelihoodMSM._set_state_from_serializeable_fields_and_state ~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 .. rubric:: Attributes .. autosummary:: ~MaximumLikelihoodMSM.P ~MaximumLikelihoodMSM._Estimator__serialize_fields ~MaximumLikelihoodMSM._Loggable__ids ~MaximumLikelihoodMSM._Loggable__refs ~MaximumLikelihoodMSM._MSMEstimator__serialize_fields ~MaximumLikelihoodMSM._MSMEstimator__serialize_version ~MaximumLikelihoodMSM._MSM__serialize_fields ~MaximumLikelihoodMSM._MSM__serialize_version ~MaximumLikelihoodMSM._MaximumLikelihoodMSM__serialize_fields ~MaximumLikelihoodMSM._MaximumLikelihoodMSM__serialize_version ~MaximumLikelihoodMSM._SerializableMixIn__serialize_fields ~MaximumLikelihoodMSM._SerializableMixIn__serialize_modifications_map ~MaximumLikelihoodMSM._SerializableMixIn__serialize_version ~MaximumLikelihoodMSM.__dict__ ~MaximumLikelihoodMSM.__doc__ ~MaximumLikelihoodMSM.__hash__ ~MaximumLikelihoodMSM.__module__ ~MaximumLikelihoodMSM.__weakref__ ~MaximumLikelihoodMSM._estimated ~MaximumLikelihoodMSM._loglevel_CRITICAL ~MaximumLikelihoodMSM._loglevel_DEBUG ~MaximumLikelihoodMSM._loglevel_ERROR ~MaximumLikelihoodMSM._loglevel_INFO ~MaximumLikelihoodMSM._loglevel_WARN ~MaximumLikelihoodMSM._save_data_producer ~MaximumLikelihoodMSM.active_count_fraction ~MaximumLikelihoodMSM.active_set ~MaximumLikelihoodMSM.active_state_fraction ~MaximumLikelihoodMSM.active_state_indexes ~MaximumLikelihoodMSM.connected_sets ~MaximumLikelihoodMSM.connectivity ~MaximumLikelihoodMSM.core_set ~MaximumLikelihoodMSM.count_matrix_active ~MaximumLikelihoodMSM.count_matrix_full ~MaximumLikelihoodMSM.discrete_trajectories_active ~MaximumLikelihoodMSM.discrete_trajectories_full ~MaximumLikelihoodMSM.discrete_trajectories_unmodified ~MaximumLikelihoodMSM.dt_model ~MaximumLikelihoodMSM.dt_traj ~MaximumLikelihoodMSM.dtrajs_active ~MaximumLikelihoodMSM.dtrajs_full ~MaximumLikelihoodMSM.dtrajs_milestone_counting_offsets ~MaximumLikelihoodMSM.dtrajs_unmodified ~MaximumLikelihoodMSM.effective_count_matrix ~MaximumLikelihoodMSM.is_reversible ~MaximumLikelihoodMSM.is_sparse ~MaximumLikelihoodMSM.lag ~MaximumLikelihoodMSM.lagtime ~MaximumLikelihoodMSM.largest_connected_set ~MaximumLikelihoodMSM.logger ~MaximumLikelihoodMSM.metastable_assignments ~MaximumLikelihoodMSM.metastable_distributions ~MaximumLikelihoodMSM.metastable_memberships ~MaximumLikelihoodMSM.metastable_sets ~MaximumLikelihoodMSM.model ~MaximumLikelihoodMSM.n_metastable ~MaximumLikelihoodMSM.name ~MaximumLikelihoodMSM.neig ~MaximumLikelihoodMSM.nstates ~MaximumLikelihoodMSM.nstates_full ~MaximumLikelihoodMSM.pi ~MaximumLikelihoodMSM.reversible ~MaximumLikelihoodMSM.sparse ~MaximumLikelihoodMSM.stationary_distribution ~MaximumLikelihoodMSM.timestep_model ~MaximumLikelihoodMSM.transition_matrix