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Vanguard documentation
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Vanguard documentation

Examples

  • Introduction
    • Creating a Decorator
  • Regression
    • Introduction to Gaussian Processes
    • Bayesian treatment of hyperparameters with Laplace approximations
    • Distributed GPs
    • Sparse variational inference for GPs
    • Sparse GP regression
  • Classification
    • Binary Classification in Vanguard
    • Multiclass Classification in Vanguard
    • Multiclass Classification with Dirichlet Distributions

Tutorials

  • Creating a Decorator

Components

  • Base GP models
  • Kernels

Controllers

  • Base Controller Class
  • Vanilla Gaussian GP Controller
  • GPs with Input Uncertainty

Decorators

  • Compositionally Warped GPs
    • Existing Warp Functions
    • Creating Warp Functions
  • Learning Likelihood Noise
  • Normalising Inputs
  • Variational Inference
  • Distributed GPs
  • Classification
  • Multitask GPs
  • Decorator Tools
  • Compositional input warping for GPs
  • Hierarchical GPs with Bayesian Hyperparameters
  • Higher Rank Features
  • Disable standard input scaling

Optimisation

  • Smart Optimiser
  • Learning rate finder
  • Learning rate schedulers

Datasets

  • Air Passengers Dataset
  • Base Datasets
  • Bike Dataset
  • Synthetic Data
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