Gaussian Process API
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Installation
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Fitting Gaussian processes
Serializing fits
Marginal distributions
Gaussian Process API
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A
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B
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C
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E
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F
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G
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J
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K
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L
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M
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P
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R
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S
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T
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U
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V
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W
A
AddKernel (class in gp_api.kernels.kernels)
available_labels() (gp_api.gaussian_process.GaussianProcess class method)
B
bin_combination_seeds() (in module gp_api.marginals)
C
compact_kernel_evaluate() (in module gp_api.kernels.compact_kernel_evaluate)
CompactKernel (class in gp_api.kernels.kernels)
compute_LLy_cholesky() (gp_api.gaussian_process.GaussianProcess static method)
E
equiv() (gp_api.gaussian_process.GaussianProcess method)
(gp_api.kernels.kernels.AddKernel method)
(gp_api.kernels.kernels.CompactKernel method)
(gp_api.kernels.kernels.Kernel method)
(gp_api.kernels.kernels.MaternKernel method)
(gp_api.kernels.kernels.WhiteNoiseKernel method)
F
fit() (gp_api.gaussian_process.GaussianProcess class method)
(gp_api.kernels.kernels.CompactKernel class method)
(gp_api.kernels.kernels.Kernel class method)
(gp_api.kernels.kernels.MaternKernel class method)
(gp_api.kernels.kernels.WhiteNoiseKernel class method)
fit_compact_nd() (in module gp_api.utils.fit_compact)
(in module gp_api.utils.utils)
fit_hist1d() (gp_api.marginals.Marginal method)
fit_hist2d() (gp_api.marginals.Marginal method)
fit_histdd() (gp_api.marginals.Marginal method)
fit_marginal() (gp_api.marginals.Marginal method)
fit_marginal_methods() (gp_api.marginals.Marginal method)
fit_matern_nd() (in module gp_api.utils.fit_matern)
fit_multigauss() (in module gp_api.utils.utils)
fit_sample_covariance() (gp_api.kernels.kernels.MaternKernel class method)
fit_scott() (gp_api.kernels.kernels.CompactKernel class method)
fit_simple() (gp_api.kernels.kernels.CompactKernel class method)
(gp_api.kernels.kernels.WhiteNoiseKernel class method)
from_attrs() (gp_api.kernels.kernels.AddKernel class method)
(gp_api.kernels.kernels.CompactKernel class method)
(gp_api.kernels.kernels.Kernel class method)
(gp_api.kernels.kernels.MaternKernel class method)
(gp_api.kernels.kernels.WhiteNoiseKernel class method)
from_dict() (gp_api.kernels.kernels.Kernel static method)
from_json() (gp_api.kernels.kernels.Kernel static method)
(in module gp_api.kernels.kernels)
G
GaussianProcess (class in gp_api.gaussian_process)
gp_api
module
gp_api.gaussian_process
module
gp_api.kernels
module
gp_api.kernels.compact_kernel_evaluate
module
gp_api.kernels.kernels
module
gp_api.kernels.matern_kernel_evaluate
module
gp_api.marginals
module
gp_api.utils
module
gp_api.utils.fit_compact
module
gp_api.utils.fit_matern
module
gp_api.utils.hypercube
module
gp_api.utils.multigauss
module
gp_api.utils.utils
module
grab_edge_factor() (in module gp_api.marginals)
grab_edge_ind() (in module gp_api.marginals)
J
joint_training_goodness() (gp_api.marginals.Marginal method)
K
Kernel (class in gp_api.kernels.kernels)
L
LLy_cholesky() (gp_api.gaussian_process.GaussianProcess method)
load() (gp_api.gaussian_process.GaussianProcess class method)
load_all() (gp_api.gaussian_process.GaussianProcess class method)
M
Marginal (class in gp_api.marginals)
matern_kernel_evaluate() (in module gp_api.kernels.matern_kernel_evaluate)
MaternKernel (class in gp_api.kernels.kernels)
mean() (gp_api.gaussian_process.GaussianProcess method)
min_bins_for_grab_edge() (in module gp_api.marginals)
module
gp_api
gp_api.gaussian_process
gp_api.kernels
gp_api.kernels.compact_kernel_evaluate
gp_api.kernels.kernels
gp_api.kernels.matern_kernel_evaluate
gp_api.marginals
gp_api.utils
gp_api.utils.fit_compact
gp_api.utils.fit_matern
gp_api.utils.hypercube
gp_api.utils.multigauss
gp_api.utils.utils
multifit_marginal1d() (gp_api.marginals.Marginal method)
multifit_marginal1d2d() (gp_api.marginals.Marginal method)
multifit_marginal2d() (gp_api.marginals.Marginal method)
Multigauss (class in gp_api.utils.multigauss)
multigauss_nd() (in module gp_api.utils.utils)
multigauss_samples() (in module gp_api.utils.utils)
P
prune_samples() (in module gp_api.marginals)
R
rvs() (gp_api.gaussian_process.GaussianProcess method)
(gp_api.utils.multigauss.Multigauss method)
S
sample_density() (gp_api.gaussian_process.GaussianProcess method)
sample_grid_gp() (gp_api.utils.multigauss.Multigauss method)
sample_hypercube() (in module gp_api.utils.hypercube)
sample_list_nd() (in module gp_api.utils.utils)
save() (gp_api.gaussian_process.GaussianProcess method)
store_options (gp_api.gaussian_process.GaussianProcess attribute)
T
to_dict() (gp_api.kernels.kernels.AddKernel method)
(gp_api.kernels.kernels.CompactKernel method)
(gp_api.kernels.kernels.Kernel method)
(gp_api.kernels.kernels.MaternKernel method)
(gp_api.kernels.kernels.WhiteNoiseKernel method)
to_json() (gp_api.kernels.kernels.Kernel method)
train() (gp_api.utils.multigauss.Multigauss method)
train_function() (in module gp_api.utils.fit_compact)
(in module gp_api.utils.utils)
train_matern() (gp_api.utils.multigauss.Multigauss method)
training_grid() (gp_api.utils.multigauss.Multigauss method)
U
update_edge_centers() (in module gp_api.marginals)
V
variance() (gp_api.gaussian_process.GaussianProcess method)
W
weighted_histogram_density_error() (in module gp_api.marginals)
WhiteNoiseKernel (class in gp_api.kernels.kernels)