pyGPCCA
stable

Overview

  • Installation
  • API
  • Coarse-grain a simple transition matrix
  • How to cite pyGPCCA
  • Acknowledgments
  • Release Notes
  • References
pyGPCCA
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  • Index
  • Edit on GitHub

Index

C | D | G | I | M | N | O | R | S | T

C

  • coarse_grained_input_distribution (pygpcca.GPCCA property)
  • coarse_grained_stationary_probability (pygpcca.GPCCA property)
  • coarse_grained_transition_matrix (pygpcca.GPCCA property)
  • crispness_values (pygpcca.GPCCA property)

D

  • dominant_eigenvalues (pygpcca.GPCCA property)

G

  • GPCCA (class in pygpcca)
  • gpcca_coarsegrain() (in module pygpcca)

I

  • input_distribution (pygpcca.GPCCA property)

M

  • macrostate_assignment (pygpcca.GPCCA property)
  • macrostate_sets (pygpcca.GPCCA property)
  • memberships (pygpcca.GPCCA property)
  • minChi() (pygpcca.GPCCA method)

N

  • n_m (pygpcca.GPCCA property)

O

  • optimal_crispness (pygpcca.GPCCA property)
  • optimize() (pygpcca.GPCCA method)

R

  • rotation_matrix (pygpcca.GPCCA property)

S

  • schur_matrix (pygpcca.GPCCA property)
  • schur_vectors (pygpcca.GPCCA property)
  • stationary_distribution() (in module pygpcca)
  • stationary_probability (pygpcca.GPCCA property)

T

  • top_eigenvalues (pygpcca.GPCCA property)
  • transition_matrix (pygpcca.GPCCA property)

© Copyright 2022, Bernhard Reuter. Revision 2ec5d106.