stheno
0.1
Stheno
Application Programming Interface
stheno
»
Index
Index
A
|
B
|
C
|
D
|
E
|
F
|
G
|
I
|
K
|
L
|
M
|
N
|
O
|
P
|
R
|
S
|
T
|
V
|
W
|
X
|
Y
A
A() (stheno.model.observations.PseudoObservations method)
AbstractObservations (class in stheno.model.observations)
add_independent_gp() (stheno.model.measure.Measure method)
add_left_rule() (stheno.lazy.LazyMatrix method)
add_right_rule() (stheno.lazy.LazyMatrix method)
add_rule() (stheno.lazy.LazyMatrix method)
(stheno.lazy.LazyVector method)
assert_same_measure() (in module stheno.model.gp)
B
BreakingChangeWarning
C
combine (in module stheno.model.observations)
condition (stheno.model.measure.Measure attribute)
condition() (stheno.model.gp.GP method)
cross (stheno.model.measure.Measure attribute)
cross() (in module stheno.model.gp)
D
default (stheno.model.measure.Measure attribute)
,
[1]
diff() (stheno.model.gp.GP method)
(stheno.model.measure.Measure method)
diff_approx() (stheno.model.gp.GP method)
dim() (stheno.random.Normal property)
dimensionality (in module stheno.mo.input)
display() (stheno.model.gp.GP method)
dtype() (stheno.random.Normal property)
E
elbo() (stheno.model.observations.PseudoObservations method)
entropy() (stheno.random.Normal method)
F
FDD (class in stheno.model.fdd)
fdd (stheno.model.observations.AbstractObservations attribute)
G
GP (class in stheno.model.gp)
I
infer_size (in module stheno.mo.input)
intersection_measure_group() (in module stheno.model.gp)
K
K_x() (stheno.model.observations.Observations method)
K_z() (stheno.model.observations.PseudoObservations method)
kernel() (stheno.model.gp.GP property)
kernels (stheno.model.measure.Measure attribute)
kl (stheno.random.Normal attribute)
L
LazyMatrix (class in stheno.lazy)
LazyVector (class in stheno.lazy)
lmatmul() (stheno.random.Normal method)
logpdf (stheno.model.measure.Measure attribute)
logpdf() (stheno.random.Normal method)
M
m2() (stheno.random.Normal property)
marginal_credible_bounds() (stheno.random.Normal method)
marginals() (stheno.random.Normal method)
mean (stheno.model.measure.Measure attribute)
mean() (stheno.model.gp.GP property)
(stheno.random.Normal property)
mean_is_zero() (stheno.random.Normal property)
Measure (class in stheno.model.measure)
measure (stheno.mo.kernel.MultiOutputKernel attribute)
(stheno.mo.mean.MultiOutputMean attribute)
measure() (stheno.model.gp.GP property)
module
stheno
stheno.autograd
stheno.jax
stheno.lazy
stheno.mo
stheno.mo.input
stheno.mo.kernel
stheno.mo.mean
stheno.model
stheno.model.fdd
stheno.model.gp
stheno.model.measure
stheno.model.observations
stheno.random
stheno.tensorflow
stheno.torch
mu() (stheno.model.observations.PseudoObservations method)
mul (stheno.model.measure.Measure attribute)
MultiOutputKernel (class in stheno.mo.kernel)
MultiOutputMean (class in stheno.mo.mean)
N
name (stheno.model.measure.Measure attribute)
name() (stheno.model.gp.GP property)
noise (stheno.model.fdd.FDD attribute)
Normal (class in stheno.random)
O
Obs (in module stheno.model.observations)
Observations (class in stheno.model.observations)
P
p (stheno.model.fdd.FDD attribute)
posterior_kernel() (stheno.model.observations.AbstractObservations method)
(stheno.model.observations.Observations method)
(stheno.model.observations.PseudoObservations method)
posterior_mean() (stheno.model.observations.AbstractObservations method)
(stheno.model.observations.Observations method)
(stheno.model.observations.PseudoObservations method)
ps (stheno.mo.kernel.MultiOutputKernel attribute)
(stheno.mo.mean.MultiOutputMean attribute)
(stheno.model.measure.Measure attribute)
PseudoObs (in module stheno.model.observations)
PseudoObservations (class in stheno.model.observations)
R
Random (class in stheno.random)
RandomProcess (class in stheno.random)
RandomVector (class in stheno.random)
render() (stheno.mo.kernel.MultiOutputKernel method)
(stheno.mo.mean.MultiOutputMean method)
rmatmul() (stheno.random.Normal method)
S
sample (stheno.model.measure.Measure attribute)
sample() (stheno.random.Normal method)
select() (stheno.model.gp.GP method)
(stheno.model.measure.Measure method)
shift() (stheno.model.gp.GP method)
(stheno.model.measure.Measure method)
SparseObs (in module stheno.model.observations)
SparseObservations (in module stheno.model.observations)
stationary() (stheno.model.gp.GP property)
stheno
module
stheno.autograd
module
stheno.jax
module
stheno.lazy
module
stheno.mo
module
stheno.mo.input
module
stheno.mo.kernel
module
stheno.mo.mean
module
stheno.model
module
stheno.model.fdd
module
stheno.model.gp
module
stheno.model.measure
module
stheno.model.observations
module
stheno.random
module
stheno.tensorflow
module
stheno.torch
module
stretch() (stheno.model.gp.GP method)
(stheno.model.measure.Measure method)
sum (stheno.model.measure.Measure attribute)
T
transform() (stheno.model.gp.GP method)
(stheno.model.measure.Measure method)
V
var() (stheno.random.Normal property)
W
w2 (stheno.random.Normal attribute)
X
x (stheno.model.fdd.FDD attribute)
Y
y (stheno.model.observations.AbstractObservations attribute)