schrodinger-kernel
schrodinger-kernel
schrodinger.kernel
Bernoulli
Params
Beta
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
/
Density
/
Normalized
Normalized
trait
Normalized
[
F
[
_
],
R
,
X
]
extends
Unnormalized
[
F
,
R
,
X
]
Graph
Supertypes
trait
Unnormalized
[
F
,
R
,
X
]
trait
X
=>
F
[
R
]
class
Object
trait
Matchable
class
Any
Value members
Value members
Inherited methods
@unspecialized
def
andThen
[
A
](
g:
F
[
R
]
=>
A
):
X
=>
A
Inherited from:
Function1
def
apply
(
v1:
X
):
F
[
R
]
Inherited from:
Function1
@unspecialized
def
compose
[
A
](
g:
A
=>
X
):
A
=>
F
[
R
]
Inherited from:
Function1
override
def
toString
():
String
Definition Classes
Function1
->
Any
Inherited from:
Function1