Welcome

• Stheno
  • Nonlinear Regression in 20 Seconds
  • Installation
  • Manual
    • AutoGrad, TensorFlow, PyTorch, or JAX? Your Choice!
    • Model Design
    • Finite-Dimensional Distributions
    • Prior and Posterior Measures
    • Inducing Points
    • Kernels and Means
    • Important Remarks
  • Examples
    • Simple Regression
    • Decomposition of Prediction
    • Learn a Function, Incorporating Prior Knowledge About Its Form
    • Multi-Output Regression
    • Approximate Integration
    • Bayesian Linear Regression
    • GPAR
    • A GP-RNN Model
    • Approximate Multiplication Between GPs
    • Sparse Regression
    • Smoothing with Nonparametric Basis Functions
• Application Programming Interface
  • stheno.autograd module
  • stheno.jax module
  • stheno.lazy module
  • stheno.mo package
    • Submodules
  • stheno.mo.input module
  • stheno.mo.kernel module
  • stheno.mo.mean module
  • stheno.model package
    • Submodules
  • stheno.model.fdd module
  • stheno.model.gp module
  • stheno.model.measure module
  • stheno.model.observations module
  • stheno.random module
  • stheno.tensorflow module
  • stheno.torch module

Indices and Tables

• Index

• Module Index

• Search Page