Scorio - v0.2.3
Scorio
npm
GitHub
Preparing search index...
eval
mgPassAtKCi
Function mgPassAtKCi
mgPassAtKCi
(
R
:
Matrix
,
k
:
number
,
confidence
?:
number
,
bounds
?:
Bounds
|
null
,
alpha0
?:
number
,
beta0
?:
number
,
)
:
[
number
,
number
,
number
,
number
]
Bayesian
[mu, sigma, lo, hi]
for mG-Pass@k.
Parameters
R
:
Matrix
k
:
number
confidence
:
number
= 0.95
bounds
:
Bounds
|
null
= ...
alpha0
:
number
= 1.0
beta0
:
number
= 1.0
Returns
[
number
,
number
,
number
,
number
]
Settings
Member Visibility
Protected
Inherited
Theme
OS
Light
Dark
Python documentation
Julia documentation
Scorio
npm
GitHub
Scorio - v0.2.3
Loading...
Bayesian
[mu, sigma, lo, hi]for mG-Pass@k.