Skip to main content

Ctrl+K

Guides

Model Building (liesel.model)
MCMC Sampling (liesel.goose)
Tutorials

API Reference

liesel.model
liesel.goose
liesel.contrib
- liesel.contrib.splines
liesel.distributions
- liesel.distributions.copulas
  - GaussianCopula
- liesel.distributions.mvn_degen
  - MultivariateNormalDegenerate
    
    MultivariateNormalDegenerate.eig
    
    MultivariateNormalDegenerate.loc
    
    MultivariateNormalDegenerate.log_pdet
    
    MultivariateNormalDegenerate.prec
    
    MultivariateNormalDegenerate.rank
liesel.bijectors
- liesel.bijectors.algebraic_sigmoid
  - AlgebraicSigmoid

Experimental API

liesel.experimental
- liesel.experimental.arviz
  - to_arviz_inference_data()
- liesel.experimental.pymc
  - PyMCInterface

.rst

MultivariateNormalDegenerate.rank

Contents

MultivariateNormalDegenerate.rank

MultivariateNormalDegenerate.rank#

property MultivariateNormalDegenerate.rank: Any | float#: Ranks of the distribution’s precision matrices.

previous

MultivariateNormalDegenerate.prec

next

liesel.bijectors

Contents

MultivariateNormalDegenerate.rank

By Hannes Riebl & Paul Wiemann

© Copyright 2022, Hannes Riebl & Paul Wiemann.