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)