latest

Tutorials:

  • Deep Gaussian Processes
  • Installation

Examples:

  • Basic Usage
  • Exact GPs (Regression)

Package Reference

  • dmgp.models
  • dmgp.kernels
  • dmgp.layers
Sparse Deep GP
  • Index
  • Edit on GitHub

Index

_ | A | D | F | G | K | L | M | T

_

  • _BaseVariationalLayer (class in dmgp.layers.base_variational_layer)

A

  • AMK (class in dmgp.layers)

D

  • DMGP (class in dmgp.models)
  • dmgp.kernels
    • module
  • dmgp.layers
    • module
  • dmgp.models
    • module

F

  • forward() (dmgp.kernels.LaplaceAdditiveKernel method)
    • (dmgp.kernels.LaplaceProductKernel method)
    • (dmgp.layers.AMK method)
    • (dmgp.layers.LinearFlipout method)
    • (dmgp.layers.LinearReparameterization method)
    • (dmgp.layers.TMK method)
    • (dmgp.models.DMGP method)
    • (dmgp.models.GPLayer method)

G

  • GPLayer (class in dmgp.models)

K

  • kl_div() (dmgp.layers.base_variational_layer._BaseVariationalLayer method)

L

  • LaplaceAdditiveKernel (class in dmgp.kernels)
  • LaplaceProductKernel (class in dmgp.kernels)
  • LinearFlipout (class in dmgp.layers)
  • LinearReparameterization (class in dmgp.layers)

M

  • module
    • dmgp.kernels
    • dmgp.layers
    • dmgp.models

T

  • TMK (class in dmgp.layers)

© Copyright 2024, Wenyuan Zhao, Haoyuan Chen. Revision 4a59327f.

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