Index

A

add_diagonal_() (in module linear_operator_learning.kernel.linalg)

C

cov_norm_squared_unbiased() (in module linear_operator_learning.nn.stats)

covariance() (in module linear_operator_learning.nn.stats) cross_cov_norm_squared_unbiased() (in module linear_operator_learning.nn.stats)

D

dp_loss() (in module linear_operator_learning.nn.functional)

DPLoss (class in linear_operator_learning.nn)

E

eig() (in module linear_operator_learning.kernel) (in module linear_operator_learning.nn) EigResult (class in linear_operator_learning.kernel.structs)

EMACovariance (class in linear_operator_learning.nn) evaluate_eigenfunction() (in module linear_operator_learning.kernel) (in module linear_operator_learning.nn)

F

FitResult (class in linear_operator_learning.kernel.structs) forward() (linear_operator_learning.nn.DPLoss method) (linear_operator_learning.nn.KLContrastiveLoss method) (linear_operator_learning.nn.L2ContrastiveLoss method) (linear_operator_learning.nn.VampLoss method)

K

kl_contrastive_loss() (in module linear_operator_learning.nn.functional)

KLContrastiveLoss (class in linear_operator_learning.nn)

L

l2_contrastive_loss() (in module linear_operator_learning.nn.functional) L2ContrastiveLoss (class in linear_operator_learning.nn) linear_operator_learning.kernel module

linear_operator_learning.nn module, [1], [2], [3]

M

MLP (class in linear_operator_learning.nn) module linear_operator_learning.kernel linear_operator_learning.nn, [1], [2], [3]

N

nystroem_pcr() (in module linear_operator_learning.kernel)

nystroem_reduced_rank() (in module linear_operator_learning.kernel)

O

orthonormal_fro_reg() (in module linear_operator_learning.nn.functional)

orthonormal_logfro_reg() (in module linear_operator_learning.nn.functional)

P

pcr() (in module linear_operator_learning.kernel)

predict() (in module linear_operator_learning.kernel)

R

rand_reduced_rank() (in module linear_operator_learning.kernel) reduced_rank() (in module linear_operator_learning.kernel)

ResNet (class in linear_operator_learning.nn) ridge_least_squares() (in module linear_operator_learning.nn)

S

sanitize_complex_conjugates() (in module linear_operator_learning.kernel.utils) SimNorm (class in linear_operator_learning.nn)

sqrtmh() (in module linear_operator_learning.nn.linalg) stable_topk() (in module linear_operator_learning.kernel.linalg)

T

topk() (in module linear_operator_learning.kernel.utils)

V

vamp_loss() (in module linear_operator_learning.nn.functional)

VampLoss (class in linear_operator_learning.nn)

W

weighted_norm() (in module linear_operator_learning.kernel.linalg)

whitening() (in module linear_operator_learning.nn.stats)