MuyGPyS
v0.9.1

Package Documentation:

  • neighbors
  • gp
  • optimize
  • examples
    • regress
    • fast_posterior_mean
    • classify
    • two-class classify with uq
    • muygps_torch
  • torch

Examples:

  • Univariate Regression Tutorial
  • Illustrating MuyGPs Sparsification, Prediction, and Uncertainty Quantification
  • Deep Kernels with MuyGPs in PyTorch Tutorial
  • Fast Posterior Mean Tutorial
  • Anisotropic Metric Tutorial
  • Loss Function Tutorial

Resources:

  • References
MuyGPyS
  • examples
  • View page source

examples

MuyGPyS.examples module reference. Includes the high-level APIs for automated model creation and training, and some automated prediction workflows.

Contents:

  • regress
    • do_regress()
    • make_regressor()
    • regress_any()
  • fast_posterior_mean
    • do_fast_posterior_mean()
    • fast_posterior_mean_any()
    • make_fast_regressor()
  • classify
    • classify_any()
    • do_classify()
    • make_classifier()
  • two-class classify with uq
    • classify_two_class_uq()
    • do_classify_uq()
    • do_uq()
    • make_masks()
    • train_two_class_interval()
  • muygps_torch
    • predict_model()
    • predict_single_model()
    • train_deep_kernel_muygps()
    • update_nearest_neighbors()
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