Epistatic Kernels for GPU-accelerated Gaussian process regression

Table of Contents

  • Installation
  • Tutorial
  • API Reference
Epistatic Kernels for GPU-accelerated Gaussian process regression
  • Index

Index

A | C | E | F | G | J | L | M | P | S | V

A

  • AdditiveKernel (class in epik.kernel)

C

  • ConnectednessKernel (class in epik.kernel)

E

  • encode_seqs() (in module epik.utils)
  • EpiK (class in epik.model)
  • ExponentialKernel (class in epik.kernel)

F

  • fit() (epik.model.EpiK method)
  • forward() (epik.kernel.AdditiveKernel method)
    • (epik.kernel.ConnectednessKernel method)
    • (epik.kernel.ExponentialKernel method)
    • (epik.kernel.GeneralProductKernel method)
    • (epik.kernel.JengaKernel method)
    • (epik.kernel.PairwiseKernel method)
    • (epik.kernel.VarianceComponentKernel method)

G

  • GeneralProductKernel (class in epik.kernel)
  • get_delta() (epik.kernel.ConnectednessKernel method)
    • (epik.kernel.GeneralProductKernel method)
    • (epik.kernel.JengaKernel method)
  • get_mutation_delta() (epik.kernel.JengaKernel method)

J

  • JengaKernel (class in epik.kernel)

L

  • load() (epik.model.EpiK method)

M

  • make_contrasts() (epik.model.EpiK method)

P

  • PairwiseKernel (class in epik.kernel)
  • predict() (epik.model.EpiK method)
  • predict_epistatic_coeffs() (epik.model.EpiK method)
  • predict_mut_effects() (epik.model.EpiK method)

S

  • save() (epik.model.EpiK method)
  • set_data() (epik.model.EpiK method)
  • simulate() (epik.model.EpiK method)
  • split_training_test() (in module epik.utils)

V

  • VarianceComponentKernel (class in epik.kernel)

© Copyright 2025, Carlos Martí-Gómez, Juannan Zhou, Samantha Petti, David M. McCandlish.

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