cebmf_torch
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cebmf_torch
Index
Index
A
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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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I
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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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S
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T
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U
A
ash() (in module cebmf_torch)
(in module cebmf_torch.ebnm)
autoselect_scales_mix_norm() (in module cebmf_torch.utils)
C
cash_posterior_means() (in module cebmf_torch.cebnm)
cEBMF (class in cebmf_torch)
cebmf_torch.cebnm
module
cebmf_torch.ebnm
module
cebmf_torch.priors
module
cebmf_torch.utils
module
cebmf_torch.utils.device
module
cebmf_torch.utils.maths
module
cgb_posterior_means() (in module cebmf_torch.cebnm)
D
do_truncnorm_argchecks() (in module cebmf_torch.utils.maths)
E
ebnm_gb() (in module cebmf_torch.ebnm)
ebnm_point_exp() (in module cebmf_torch)
(in module cebmf_torch.ebnm)
ebnm_point_laplace() (in module cebmf_torch)
(in module cebmf_torch.ebnm)
emdn_posterior_means() (in module cebmf_torch.cebnm)
F
fit() (cebmf_torch.cEBMF method)
G
get_device() (in module cebmf_torch.utils)
(in module cebmf_torch.utils.device)
I
initialise_factors() (cebmf_torch.cEBMF method)
iter_once() (cebmf_torch.cEBMF method)
L
lcash_posterior_means() (in module cebmf_torch.cebnm)
log_norm_pdf() (in module cebmf_torch.utils.maths)
logPhi() (in module cebmf_torch.utils.maths)
logphi() (in module cebmf_torch.utils.maths)
logscale_add() (in module cebmf_torch.utils.maths)
logscale_sub() (in module cebmf_torch.utils.maths)
logsumexp() (in module cebmf_torch.utils.maths)
M
module
cebmf_torch.cebnm
cebmf_torch.ebnm
cebmf_torch.priors
cebmf_torch.utils
cebmf_torch.utils.device
cebmf_torch.utils.maths
my_e2truncnorm() (in module cebmf_torch.utils)
(in module cebmf_torch.utils.maths)
my_etruncnorm() (in module cebmf_torch.utils)
(in module cebmf_torch.utils.maths)
N
norm_cdf() (in module cebmf_torch.utils.maths)
norm_pdf() (in module cebmf_torch.utils.maths)
O
optimize_pi_logL() (in module cebmf_torch.utils)
optimize_pi_logL_lbfgs() (in module cebmf_torch.utils)
P
po_lcash_posterior_means() (in module cebmf_torch.cebnm)
posterior_mean_exp() (in module cebmf_torch.utils)
posterior_mean_norm() (in module cebmf_torch.utils)
S
safe_log() (in module cebmf_torch.utils.maths)
safe_tensor_to_float() (in module cebmf_torch.utils)
(in module cebmf_torch.utils.maths)
sharp_cgb_posterior_means() (in module cebmf_torch.cebnm)
softmax() (in module cebmf_torch.utils.maths)
spiked_emdn_posterior_means() (in module cebmf_torch.cebnm)
T
to_device() (in module cebmf_torch.utils.device)
U
update_tau() (cebmf_torch.cEBMF method)