paramrf
Documentation
Quickstart
Core Concepts
Examples
Tutorials
Model Hierarchy
API
Core Primitives
Working with Parameters
Main Modules
models
(pmrf.models)
modules
(pmrf.modules)
materials
(pmrf.materials)
parameters
(pmrf.parameters)
stats
(pmrf.stats)
bijectors
covariance_kernels
discrepancy_models
distributions
likelihoods
linearization
noise_models
AbstractBijector
AbstractCovarianceKernel
AbstractDiscrepancyModel
AbstractDistribution
AbstractLikelihood
AbstractNoiseModel
AutoCrossKernel
AutoCrossNoise
Chain
ConstantKernel
CosineKernel
DiagLinear
Exp
Gamma
GaussianLikelihood
GaussianProcess
Identity
Inverse
Joint
Leafwise
Linearization
LogNormal
Matern32Kernel
Matern52Kernel
Normal
PeriodicKernel
Permute
ProductKernel
R2ToComplex
RBFKernel
ScalarAffine
SharedIndependentKernel
Shift
Sigmoid
Softplus
SumKernel
Tanh
Transformed
Transpose
TriangularLinear
TruncatedNormal
Uniform
WhiteNoiseKernel
ZeroKernel
CenteredUniform
RelativeNormal
RelativeTruncatedNormal
cross_gram
gram
posterior_covariance
truncate
objectives
(pmrf.objectives)
optimize
(pmrf.optimize)
infer
(pmrf.infer)
fitting
(pmrf.fitting)
Other Modules
Utilities
scikit-rf Comparison
License
paramrf
API
stats
(pmrf.stats)
distributions
CenteredUniform
View page source
CenteredUniform
pmrf.stats.distributions.
CenteredUniform
(
center
:
Array
|
ndarray
|
bool
|
number
|
bool
|
int
|
float
|
complex
,
half_width
:
Array
|
ndarray
|
bool
|
number
|
bool
|
int
|
float
|
complex
)
→
Uniform
Create a Uniform distribution defined by center and width.