PNMF
Contents:
API Reference
Examples
Benchmarks
Natural Gradient Training
PNMF
Index
Index
_
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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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L
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M
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N
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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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W
_
__getitem__() (PNMF.custom_modules.ConstrainedParameter method)
__init__() (PNMF.custom_modules.ConstrainedParameter method)
(PNMF.custom_modules.PositiveParameter method)
(PNMF.models.PoissonFactorization method)
(PNMF.PNMF method)
(PNMF.priors.GaussianPrior method)
C
clone() (PNMF.custom_modules.ConstrainedParameter method)
components_ (PNMF.PNMF attribute)
ConstrainedParameter (class in PNMF.custom_modules)
contiguous() (PNMF.custom_modules.ConstrainedParameter method)
cpu() (PNMF.custom_modules.ConstrainedParameter method)
cuda() (PNMF.custom_modules.ConstrainedParameter method)
D
D (PNMF.models.PoissonFactorization attribute)
data (PNMF.custom_modules.ConstrainedParameter property)
detach() (PNMF.custom_modules.ConstrainedParameter method)
device (PNMF.custom_modules.ConstrainedParameter property)
dim() (PNMF.custom_modules.ConstrainedParameter method)
double() (PNMF.custom_modules.ConstrainedParameter method)
dtype (PNMF.custom_modules.ConstrainedParameter property)
E
elbo_ (PNMF.PNMF attribute)
F
factor_samples() (in module PNMF.transforms)
factor_uncertainty() (in module PNMF.transforms)
factors_from_prior() (in module PNMF.transforms)
fit() (PNMF.PNMF method)
fit_transform() (PNMF.PNMF method)
float() (PNMF.custom_modules.ConstrainedParameter method)
forward() (PNMF.models.PoissonFactorization method)
(PNMF.priors.GaussianPrior method)
forward_batched() (PNMF.priors.GaussianPrior method)
freeze() (PNMF.custom_modules.ConstrainedParameter method)
G
GaussianPrior (class in PNMF.priors)
get_loadings() (in module PNMF.transforms)
get_prior() (in module PNMF.transforms)
get_rate() (PNMF.models.PoissonFactorization method)
grad (PNMF.custom_modules.ConstrainedParameter property)
H
half() (PNMF.custom_modules.ConstrainedParameter method)
I
initialize_factors() (in module PNMF.initialization)
inverse_transform() (PNMF.PNMF method)
is_cuda (PNMF.custom_modules.ConstrainedParameter property)
is_leaf (PNMF.custom_modules.ConstrainedParameter property)
L
L (PNMF.models.PoissonFactorization attribute)
loadings_mode (PNMF.models.PoissonFactorization attribute)
log_factors() (in module PNMF.transforms)
log_factors_from_prior() (in module PNMF.transforms)
M
mean (PNMF.priors.GaussianPrior attribute)
multiplicative_update() (PNMF.custom_modules.PositiveParameter method)
N
N (PNMF.models.PoissonFactorization attribute)
n_components_ (PNMF.PNMF attribute)
n_features_in_ (PNMF.PNMF attribute)
n_iter_ (PNMF.PNMF attribute)
natural_parameters() (PNMF.priors.GaussianPrior method)
numel() (PNMF.custom_modules.ConstrainedParameter method)
numpy() (PNMF.custom_modules.ConstrainedParameter method)
P
parameters() (PNMF.priors.GaussianPrior method)
PNMF (class in PNMF)
PoissonFactorization (class in PNMF.models)
PositiveParameter (class in PNMF.custom_modules)
prior (PNMF.models.PoissonFactorization attribute)
project() (PNMF.custom_modules.ConstrainedParameter method)
(PNMF.custom_modules.PositiveParameter method)
project_parameters() (PNMF.models.PoissonFactorization method)
R
raw (PNMF.custom_modules.ConstrainedParameter property)
requires_grad (PNMF.custom_modules.ConstrainedParameter property)
S
scale (PNMF.priors.GaussianPrior attribute)
scale_pf (PNMF.priors.GaussianPrior attribute)
shape (PNMF.custom_modules.ConstrainedParameter property)
size() (PNMF.custom_modules.ConstrainedParameter method)
T
theta1 (PNMF.priors.GaussianPrior attribute)
theta2 (PNMF.priors.GaussianPrior attribute)
to() (PNMF.custom_modules.ConstrainedParameter method)
transform() (PNMF.PNMF method)
transform_F() (in module PNMF.transforms)
transform_W() (in module PNMF.transforms)
U
uncertainty_from_prior() (in module PNMF.transforms)
unfreeze() (PNMF.custom_modules.ConstrainedParameter method)
use_natural_gradients (PNMF.priors.GaussianPrior attribute)
W
W (PNMF.models.PoissonFactorization attribute)