runlmc
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runlmc
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Index
A
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B
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C
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D
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E
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F
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G
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H
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I
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K
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L
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M
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N
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O
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P
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Q
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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
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Z
A
AdaDelta (class in runlmc.models.optimization)
alpha() (runlmc.lmc.likelihood.ApproxLMCLikelihood method)
(runlmc.lmc.likelihood.ExactLMCLikelihood method)
(runlmc.lmc.likelihood.LMCLikelihood method)
ApproxLMCLikelihood (class in runlmc.lmc.likelihood)
as_linear_operator() (runlmc.linalg.matrix.Matrix method)
as_numpy() (runlmc.approx.ski.SKI method)
(runlmc.linalg.block_diag.BlockDiag method)
(runlmc.linalg.block_matrix.SymmSquareBlockMatrix method)
(runlmc.linalg.bttb.BTTB method)
(runlmc.linalg.diag.Diag method)
(runlmc.linalg.identity.Identity method)
(runlmc.linalg.kronecker.Kronecker method)
(runlmc.linalg.matrix.Matrix method)
(runlmc.linalg.numpy_matrix.NumpyMatrix method)
(runlmc.linalg.sum_matrix.SumMatrix method)
(runlmc.linalg.toeplitz.Toeplitz method)
autogrid() (in module runlmc.approx.interpolation)
B
BasicModel (class in runlmc.util.testing_utils)
begin_end_indices() (in module runlmc.util.numpy_convenience)
BlockDiag (class in runlmc.linalg.block_diag)
BTTB (class in runlmc.linalg.bttb)
C
cartesian_product() (in module runlmc.util.numpy_convenience)
check_np_lists() (in module runlmc.util.testing_utils)
chunks() (in module runlmc.util.numpy_convenience)
Composition (class in runlmc.linalg.composition)
Constant (class in runlmc.mean.constant)
coreg_diags (runlmc.lmc.functional_kernel.FunctionalKernel attribute)
coreg_diags_gradients() (runlmc.lmc.likelihood.LMCLikelihood method)
coreg_mats() (runlmc.lmc.functional_kernel.FunctionalKernel method)
coreg_vec_gradients() (runlmc.lmc.likelihood.LMCLikelihood method)
coreg_vecs (runlmc.lmc.functional_kernel.FunctionalKernel attribute)
cubic_kernel() (in module runlmc.approx.interpolation)
D
d_logdet_K() (runlmc.lmc.derivative.Derivative method)
(runlmc.lmc.exact_deriv.ExactDeriv method)
(runlmc.lmc.stochastic_deriv.StochasticDeriv method)
d_normal_quadratic() (runlmc.lmc.derivative.Derivative method)
(runlmc.lmc.exact_deriv.ExactDeriv method)
(runlmc.lmc.stochastic_deriv.StochasticDeriv method)
Derivative (class in runlmc.lmc.derivative)
derivative() (runlmc.lmc.derivative.Derivative method)
Diag (class in runlmc.linalg.diag)
domain (runlmc.parameterization.priors.Gamma attribute)
(runlmc.parameterization.priors.Gaussian attribute)
(runlmc.parameterization.priors.HalfLaplace attribute)
(runlmc.parameterization.priors.InverseGamma attribute)
(runlmc.parameterization.priors.Prior attribute)
E
error_context() (in module runlmc.util.testing_utils)
eval_kernel_gradients() (runlmc.lmc.functional_kernel.FunctionalKernel method)
eval_kernels() (runlmc.lmc.functional_kernel.FunctionalKernel method)
eval_kernels_fixed_dim() (runlmc.lmc.functional_kernel.FunctionalKernel method)
EVAL_NORM (runlmc.models.interpolated_llgp.InterpolatedLLGP attribute)
ExactDeriv (class in runlmc.lmc.exact_deriv)
ExactLMCLikelihood (class in runlmc.lmc.likelihood)
exp_decr_toep() (in module runlmc.util.testing_utils)
F
f() (runlmc.mean.constant.Constant method)
(runlmc.mean.mean_function.MeanFunction method)
(runlmc.mean.zero.Zero method)
filter_non_indep_idxs() (runlmc.lmc.functional_kernel.FunctionalKernel method)
from_dist() (runlmc.kern.identity.Identity method)
(runlmc.kern.matern32.Matern32 method)
(runlmc.kern.rbf.RBF method)
(runlmc.kern.scaled.Scaled method)
(runlmc.kern.stationary_kern.StationaryKern method)
(runlmc.kern.std_periodic.StdPeriodic method)
from_EV() (runlmc.parameterization.priors.Gamma static method)
FunctionalKernel (class in runlmc.lmc.functional_kernel)
G
Gamma (class in runlmc.parameterization.priors)
Gaussian (class in runlmc.parameterization.priors)
gen_grid_kernel() (in module runlmc.lmc.grid_kernel)
generate() (runlmc.lmc.stochastic_deriv.StochasticDerivService method)
get_active_dims() (runlmc.lmc.functional_kernel.FunctionalKernel method)
GPyLMC (class in runlmc.models.gpy_lmc)
GridKernel (class in runlmc.lmc.grid_kernel)
H
HalfLaplace (class in runlmc.parameterization.priors)
I
Identity (class in runlmc.kern.identity)
(class in runlmc.linalg.identity)
inherit_doc() (in module runlmc.util.docs)
InlinePool (class in runlmc.util.inline_pool)
interp_bicubic() (in module runlmc.approx.interpolation)
interp_cubic() (in module runlmc.approx.interpolation)
InterpolatedLLGP (class in runlmc.models.interpolated_llgp)
inverse_mean() (runlmc.util.normalizer.Norm method)
inverse_variance() (runlmc.util.normalizer.Norm method)
InverseGamma (class in runlmc.parameterization.priors)
is_square() (runlmc.linalg.matrix.Matrix method)
Iterative (class in runlmc.approx.iterative)
K
K() (runlmc.models.interpolated_llgp.InterpolatedLLGP method)
kernel_from_indices() (runlmc.lmc.likelihood.ExactLMCLikelihood static method)
kernel_gradient() (runlmc.kern.identity.Identity method)
(runlmc.kern.matern32.Matern32 method)
(runlmc.kern.rbf.RBF method)
(runlmc.kern.scaled.Scaled method)
(runlmc.kern.stationary_kern.StationaryKern method)
(runlmc.kern.std_periodic.StdPeriodic method)
kernel_gradients() (runlmc.lmc.likelihood.LMCLikelihood method)
Kronecker (class in runlmc.linalg.kronecker)
L
link_parameter() (runlmc.parameterization.parameterized.Parameterized method)
LMCLikelihood (class in runlmc.lmc.likelihood)
lnpdf() (runlmc.parameterization.priors.Gamma method)
(runlmc.parameterization.priors.Gaussian method)
(runlmc.parameterization.priors.HalfLaplace method)
(runlmc.parameterization.priors.InverseGamma method)
(runlmc.parameterization.priors.Prior method)
lnpdf_grad() (runlmc.parameterization.priors.Gamma method)
(runlmc.parameterization.priors.Gaussian method)
(runlmc.parameterization.priors.HalfLaplace method)
(runlmc.parameterization.priors.InverseGamma method)
(runlmc.parameterization.priors.Prior method)
log_det_K() (runlmc.models.interpolated_llgp.InterpolatedLLGP method)
log_likelihood() (runlmc.models.gpy_lmc.GPyLMC method)
(runlmc.models.interpolated_llgp.InterpolatedLLGP method)
(runlmc.models.multigp.MultiGP method)
(runlmc.parameterization.model.Model method)
(runlmc.util.testing_utils.BasicModel method)
log_likelihood_with_prior() (runlmc.parameterization.model.Model method)
log_prior() (runlmc.parameterization.model.Model method)
M
map_entries() (in module runlmc.util.numpy_convenience)
Matern32 (class in runlmc.kern.matern32)
matmat() (runlmc.linalg.composition.Composition method)
(runlmc.linalg.diag.Diag method)
(runlmc.linalg.identity.Identity method)
(runlmc.linalg.matrix.Matrix method)
(runlmc.linalg.numpy_matrix.NumpyMatrix method)
Matrix (class in runlmc.linalg.matrix)
matvec() (runlmc.linalg.block_diag.BlockDiag method)
(runlmc.linalg.block_matrix.SymmSquareBlockMatrix method)
(runlmc.linalg.bttb.BTTB method)
(runlmc.linalg.composition.Composition method)
(runlmc.linalg.diag.Diag method)
(runlmc.linalg.identity.Identity method)
(runlmc.linalg.kronecker.Kronecker method)
(runlmc.linalg.matrix.Matrix method)
(runlmc.linalg.numpy_matrix.NumpyMatrix method)
(runlmc.linalg.sum_matrix.SumMatrix method)
(runlmc.linalg.toeplitz.Toeplitz method)
(runlmc.lmc.grid_kernel.GridKernel method)
mean_gradient() (runlmc.mean.constant.Constant method)
(runlmc.mean.mean_function.MeanFunction method)
(runlmc.mean.zero.Zero method)
MeanFunction (class in runlmc.mean.mean_function)
Metrics (class in runlmc.lmc.metrics)
Model (class in runlmc.parameterization.model)
multi_interpolant() (in module runlmc.approx.interpolation)
MultiGP (class in runlmc.models.multigp)
N
noise (runlmc.lmc.functional_kernel.FunctionalKernel attribute)
noise_gradient() (runlmc.lmc.likelihood.LMCLikelihood method)
noop() (runlmc.models.optimization.AdaDelta static method)
Norm (class in runlmc.util.normalizer)
normal_quadratic() (runlmc.models.interpolated_llgp.InterpolatedLLGP method)
normalize() (runlmc.util.normalizer.Norm method)
NumpyMatrix (class in runlmc.linalg.numpy_matrix)
O
objective_function() (runlmc.parameterization.model.Model method)
objective_function_gradients() (runlmc.parameterization.model.Model method)
opt() (runlmc.models.optimization.AdaDelta method)
(runlmc.util.testing_utils.SingleGradOptimizer method)
optimize() (runlmc.models.gpy_lmc.GPyLMC method)
(runlmc.models.interpolated_llgp.InterpolatedLLGP method)
(runlmc.models.multigp.MultiGP method)
P
Param (class in runlmc.parameterization.param)
Parameterized (class in runlmc.parameterization.parameterized)
parameters_changed() (runlmc.models.gpy_lmc.GPyLMC method)
(runlmc.models.interpolated_llgp.InterpolatedLLGP method)
(runlmc.models.multigp.MultiGP method)
(runlmc.util.testing_utils.BasicModel method)
poor_cond_toep() (in module runlmc.util.testing_utils)
predict() (runlmc.models.gpy_lmc.GPyLMC method)
(runlmc.models.multigp.MultiGP method)
predict_quantiles() (runlmc.models.gpy_lmc.GPyLMC method)
(runlmc.models.multigp.MultiGP method)
Prior (class in runlmc.parameterization.priors)
PriorizableLeaf (class in runlmc.parameterization.priorizable)
Q
Q (runlmc.lmc.functional_kernel.FunctionalKernel attribute)
R
rand_pd() (in module runlmc.util.testing_utils)
random_toep() (in module runlmc.util.testing_utils)
RandomTest (class in runlmc.util.testing_utils)
RBF (class in runlmc.kern.rbf)
run_main() (in module runlmc.util.testing_utils)
runlmc (module)
runlmc.approx (module)
runlmc.approx.interpolation (module)
runlmc.approx.iterative (module)
runlmc.approx.ski (module)
runlmc.kern (module)
runlmc.kern.identity (module)
runlmc.kern.matern32 (module)
runlmc.kern.rbf (module)
runlmc.kern.scaled (module)
runlmc.kern.stationary_kern (module)
runlmc.kern.std_periodic (module)
runlmc.linalg (module)
runlmc.linalg.block_diag (module)
runlmc.linalg.block_matrix (module)
runlmc.linalg.bttb (module)
runlmc.linalg.composition (module)
runlmc.linalg.diag (module)
runlmc.linalg.identity (module)
runlmc.linalg.kronecker (module)
runlmc.linalg.matrix (module)
runlmc.linalg.numpy_matrix (module)
runlmc.linalg.shur (module)
runlmc.linalg.sum_matrix (module)
runlmc.linalg.toeplitz (module)
runlmc.lmc (module)
runlmc.lmc.derivative (module)
runlmc.lmc.exact_deriv (module)
runlmc.lmc.functional_kernel (module)
runlmc.lmc.grid_kernel (module)
runlmc.lmc.likelihood (module)
runlmc.lmc.metrics (module)
runlmc.lmc.stochastic_deriv (module)
runlmc.mean (module)
runlmc.mean.constant (module)
runlmc.mean.mean_function (module)
runlmc.mean.zero (module)
runlmc.models (module)
runlmc.models.gpy_lmc (module)
runlmc.models.interpolated_llgp (module)
runlmc.models.multigp (module)
runlmc.models.optimization (module)
runlmc.parameterization (module)
runlmc.parameterization.model (module)
runlmc.parameterization.param (module)
runlmc.parameterization.parameterized (module)
runlmc.parameterization.priorizable (module)
runlmc.parameterization.priors (module)
runlmc.util (module)
runlmc.util.docs (module)
runlmc.util.inline_pool (module)
runlmc.util.normalizer (module)
runlmc.util.numpy_convenience (module)
runlmc.util.testing_utils (module)
S
scale_by() (runlmc.util.normalizer.Norm method)
Scaled (class in runlmc.kern.scaled)
scaled() (runlmc.util.normalizer.Norm method)
search_descending() (in module runlmc.util.numpy_convenience)
set_input_dim() (runlmc.lmc.functional_kernel.FunctionalKernel method)
set_prior() (runlmc.parameterization.priorizable.PriorizableLeaf method)
setUp() (runlmc.util.testing_utils.RandomTest method)
shur() (in module runlmc.linalg.shur)
SingleGradOptimizer (class in runlmc.util.testing_utils)
SKI (class in runlmc.approx.ski)
smallest_eig() (in module runlmc.util.numpy_convenience)
solve() (runlmc.approx.iterative.Iterative static method)
starmap() (runlmc.util.inline_pool.InlinePool method)
StationaryKern (class in runlmc.kern.stationary_kern)
StdPeriodic (class in runlmc.kern.std_periodic)
StochasticDeriv (class in runlmc.lmc.stochastic_deriv)
StochasticDerivService (class in runlmc.lmc.stochastic_deriv)
SumMatrix (class in runlmc.linalg.sum_matrix)
symm_2d_list_map() (in module runlmc.util.numpy_convenience)
SymmSquareBlockMatrix (class in runlmc.linalg.block_matrix)
T
tesselate() (in module runlmc.util.numpy_convenience)
to_gpy() (runlmc.kern.identity.Identity method)
(runlmc.kern.matern32.Matern32 method)
(runlmc.kern.rbf.RBF method)
(runlmc.kern.scaled.Scaled method)
(runlmc.kern.stationary_kern.StationaryKern method)
(runlmc.kern.std_periodic.StdPeriodic method)
Toeplitz (class in runlmc.linalg.toeplitz)
total_rank() (runlmc.lmc.functional_kernel.FunctionalKernel method)
U
unset_prior() (runlmc.parameterization.priorizable.PriorizableLeaf method)
update_gradient() (runlmc.kern.identity.Identity method)
(runlmc.kern.matern32.Matern32 method)
(runlmc.kern.rbf.RBF method)
(runlmc.kern.scaled.Scaled method)
(runlmc.kern.stationary_kern.StationaryKern method)
(runlmc.kern.std_periodic.StdPeriodic method)
(runlmc.lmc.functional_kernel.FunctionalKernel method)
(runlmc.mean.constant.Constant method)
(runlmc.mean.mean_function.MeanFunction method)
(runlmc.mean.zero.Zero method)
upper_eig_bound() (runlmc.approx.ski.SKI method)
(runlmc.linalg.block_matrix.SymmSquareBlockMatrix method)
(runlmc.linalg.diag.Diag method)
(runlmc.linalg.identity.Identity method)
(runlmc.linalg.kronecker.Kronecker method)
(runlmc.linalg.sum_matrix.SumMatrix method)
(runlmc.linalg.toeplitz.Toeplitz method)
V
vectorize_inputs() (in module runlmc.util.testing_utils)
W
wrap() (runlmc.linalg.matrix.Matrix static method)
Z
Zero (class in runlmc.mean.zero)
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