lsbi

• lsbi package
  • lsbi.model module
    • LinearModel
      • LinearModel.Sigma
      • LinearModel.d
      • LinearModel.diagonal_Sigma
      • LinearModel.dkl()
      • LinearModel.evidence()
      • LinearModel.joint()
      • LinearModel.likelihood()
      • LinearModel.model()
      • LinearModel.mu
      • LinearModel.n
      • LinearModel.posterior()
      • LinearModel.ppd()
      • LinearModel.prior()
      • LinearModel.shape
      • LinearModel.update()
    • MixtureModel
      • MixtureModel.dkl()
      • MixtureModel.evidence()
      • MixtureModel.joint()
      • MixtureModel.k
      • MixtureModel.likelihood()
      • MixtureModel.posterior()
      • MixtureModel.prior()
      • MixtureModel.shape
      • MixtureModel.update()
    • ReducedLinearModel
      • ReducedLinearModel.DKL()
      • ReducedLinearModel.logL()
      • ReducedLinearModel.logP()
      • ReducedLinearModel.logZ()
      • ReducedLinearModel.logpi()
      • ReducedLinearModel.posterior()
      • ReducedLinearModel.prior()
    • ReducedLinearModelUniformPrior
      • ReducedLinearModelUniformPrior.DKL()
      • ReducedLinearModelUniformPrior.logL()
      • ReducedLinearModelUniformPrior.logP()
      • ReducedLinearModelUniformPrior.logZ()
      • ReducedLinearModelUniformPrior.logpi()
      • ReducedLinearModelUniformPrior.posterior()
  • lsbi.network module
    • BinaryClassifier
      • BinaryClassifier.loss()
      • BinaryClassifier.predict()
      • BinaryClassifier.training
    • BinaryClassifierBase
      • BinaryClassifierBase.fit()
      • BinaryClassifierBase.forward()
      • BinaryClassifierBase.loss()
      • BinaryClassifierBase.predict()
      • BinaryClassifierBase.training
    • BinaryClassifierLPop
      • BinaryClassifierLPop.loss()
      • BinaryClassifierLPop.lpop()
      • BinaryClassifierLPop.predict()
      • BinaryClassifierLPop.training
  • lsbi.stats module
    • dkl()
    • mixture_normal
      • mixture_normal.bijector()
      • mixture_normal.condition()
      • mixture_normal.k
      • mixture_normal.logpdf()
      • mixture_normal.pdf()
      • mixture_normal.rvs()
      • mixture_normal.shape
    • multivariate_normal
      • multivariate_normal.bijector()
      • multivariate_normal.condition()
      • multivariate_normal.dim
      • multivariate_normal.logpdf()
      • multivariate_normal.marginalise()
      • multivariate_normal.pdf()
      • multivariate_normal.predict()
      • multivariate_normal.rvs()
      • multivariate_normal.shape
  • lsbi.utils module
    • alias()
    • bisect()
    • dediagonalise()
    • logdet()
    • quantise()