0.1
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API reference
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Likelihoods
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Ensembles
Utils
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Index
Index
A
|
B
|
C
|
D
|
E
|
F
|
G
|
H
|
J
|
L
|
M
|
N
|
O
|
P
|
Q
|
R
|
S
|
T
|
U
|
V
A
A() (in module tramp.beliefs.binary)
(in module tramp.beliefs.exponential)
(in module tramp.beliefs.mixture)
(in module tramp.beliefs.normal)
(in module tramp.beliefs.positive)
(in module tramp.beliefs.sparse)
(in module tramp.beliefs.truncated)
AbsChannel (class in tramp.channels)
AbsLikelihood (class in tramp.likelihoods)
AnalyticalLinearChannel (class in tramp.channels)
AsymmetricAbsChannel (class in tramp.channels)
AsymmetricAbsLikelihood (class in tramp.likelihoods)
B
BayesOptimalScenario (class in tramp.experiments)
BiasChannel (class in tramp.channels)
BinaryEnsemble (class in tramp.ensembles)
BinaryPrior (class in tramp.priors)
Blur1DChannel (class in tramp.channels)
Blur2DChannel (class in tramp.channels)
C
Callback (class in tramp.algos.callbacks)
CommitteeBinaryPrior (class in tramp.priors)
ComplexGaussianEnsemble (class in tramp.ensembles)
ComplexLinearChannel (class in tramp.channels)
ConcatChannel (class in tramp.channels)
ConstantInit (class in tramp.algos)
ConvChannel (class in tramp.channels)
CustomInit (class in tramp.algos)
D
DFTChannel (class in tramp.channels)
DifferentialChannel (class in tramp.channels)
DuplicateChannel (class in tramp.channels)
E
EarlyStopping (class in tramp.algos.callbacks)
EarlyStoppingEP (class in tramp.algos.callbacks)
ExpectationPropagation (class in tramp.algos)
ExponentialPrior (class in tramp.priors)
F
find_critical_alpha() (in module tramp.experiments)
G
GaussBernoulliPrior (class in tramp.priors)
GaussianChannel (class in tramp.channels)
GaussianEnsemble (class in tramp.ensembles)
GaussianLikelihood (class in tramp.likelihoods)
GaussianMixturePrior (class in tramp.priors)
GaussianPrior (class in tramp.priors)
get_channel() (in module tramp.channels)
get_dataframe() (tramp.algos.callbacks.TrackErrors method)
(tramp.algos.callbacks.TrackEstimate method)
(tramp.algos.callbacks.TrackEvolution method)
(tramp.algos.callbacks.TrackMessages method)
(tramp.algos.callbacks.TrackObjective method)
(tramp.algos.callbacks.TrackOverlaps method)
get_likelihood() (in module tramp.likelihoods)
get_prior() (in module tramp.priors)
glm_generative() (in module tramp.models)
glm_state_evolution() (in module tramp.models)
GradientChannel (class in tramp.channels)
H
HardSigmoidChannel (class in tramp.channels)
HardSigmoidLikelihood (class in tramp.likelihoods)
HardTanhChannel (class in tramp.channels)
HardTanhLikelihood (class in tramp.likelihoods)
J
JoinCallback (class in tramp.algos.callbacks)
L
LaplacianChannel (class in tramp.channels)
LeakyReluChannel (class in tramp.channels)
LeakyReluLikelihood (class in tramp.likelihoods)
LinearChannel (class in tramp.channels)
LogProgress (class in tramp.algos.callbacks)
M
MAP_L1NormPrior (class in tramp.priors)
MAP_L21NormPrior (class in tramp.priors)
MarchenkoPasturChannel (class in tramp.channels)
MarchenkoPasturEnsemble (class in tramp.ensembles)
mean_squared_error() (in module tramp.algos.metrics)
module
tramp.algos.callbacks
ModulusChannel (class in tramp.channels)
ModulusLikelihood (class in tramp.likelihoods)
MultiLayerModel (class in tramp.models)
N
NoisyInit (class in tramp.algos)
norm() (in module tramp.algos.callbacks)
O
overlap() (in module tramp.algos.metrics)
P
p() (in module tramp.beliefs.mixture)
(in module tramp.beliefs.positive)
(in module tramp.beliefs.sparse)
(in module tramp.beliefs.truncated)
PassCallback (class in tramp.algos.callbacks)
plot_belief_grad_b() (in module tramp.checks)
plot_prior_grad_BO() (in module tramp.checks)
PositivePrior (class in tramp.priors)
Q
qplot() (in module tramp.experiments)
R
r() (in module tramp.beliefs.binary)
(in module tramp.beliefs.exponential)
(in module tramp.beliefs.mixture)
(in module tramp.beliefs.normal)
(in module tramp.beliefs.positive)
(in module tramp.beliefs.sparse)
(in module tramp.beliefs.truncated)
RandomFeatureEnsemble (class in tramp.ensembles)
ReluChannel (class in tramp.channels)
ReluLikelihood (class in tramp.likelihoods)
ReshapeChannel (class in tramp.channels)
RotationChannel (class in tramp.channels)
RotationEnsemble (class in tramp.ensembles)
run_experiments() (in module tramp.experiments)
S
save_experiments() (in module tramp.experiments)
SgnChannel (class in tramp.channels)
SgnLikelihood (class in tramp.likelihoods)
SILeafVariable (class in tramp.variables)
SISOVariable (class in tramp.variables)
StateEvolution (class in tramp.algos)
SumChannel (class in tramp.channels)
SymmetricDoorChannel (class in tramp.channels)
SymmetricDoorLikelihood (class in tramp.likelihoods)
T
tau() (in module tramp.beliefs.binary)
(in module tramp.beliefs.exponential)
(in module tramp.beliefs.mixture)
(in module tramp.beliefs.normal)
(in module tramp.beliefs.positive)
(in module tramp.beliefs.sparse)
(in module tramp.beliefs.truncated)
TeacherStudentScenario (class in tramp.experiments)
TernaryEnsemble (class in tramp.ensembles)
TrackErrors (class in tramp.algos.callbacks)
TrackEstimate (class in tramp.algos.callbacks)
TrackEvolution (class in tramp.algos.callbacks)
TrackMessages (class in tramp.algos.callbacks)
TrackObjective (class in tramp.algos.callbacks)
TrackOverlaps (class in tramp.algos.callbacks)
tramp.algos.callbacks
module
U
UnitaryChannel (class in tramp.channels)
UnitaryEnsemble (class in tramp.ensembles)
V
v() (in module tramp.beliefs.binary)
(in module tramp.beliefs.exponential)
(in module tramp.beliefs.mixture)
(in module tramp.beliefs.normal)
(in module tramp.beliefs.positive)
(in module tramp.beliefs.sparse)
(in module tramp.beliefs.truncated)
Variable (class in tramp.base)