stheno
0.1
  • Stheno
  • Application Programming Interface
stheno
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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

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© Copyright 2017, Wessel Bruinsma

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