schrodinger-kernel
schrodinger-kernel
schrodinger.kernel
Bernoulli
Params
Categorical
Params
Density
Normalized
Unnormalized
Dirichlet
Params
Distribution
Exponential
Params
Gamma
Params
Gaussian
Params
LogNormal
Params
Multinomial
Params
PseudoRandom
PseudoRandom
Random
Random
Uniform
Params
schrodinger-kernel
/
schrodinger.kernel
/
Gaussian
Gaussian
object
Gaussian
Graph
Supertypes
Self type
class
Object
trait
Matchable
class
Any
Gaussian
Type members
Value members
Type members
Classlikes
final case
class
Params
[
+
M
,
+
S
](
mean:
M
,
standardDeviation:
S
)
Value members
Concrete methods
inline
def
apply
[
F
[
_
],
R
](
mean:
R
,
standardDeviation:
R
)(
using
g:
Gaussian
[
R
][
F
]):
F
[
R
]
inline
def
standard
[
F
[
_
],
X
](
using
g:
GenGaussian
[0, 1,
X
][
F
]):
F
[
X
]