Uses of Class com.bayesserver.learning.parameters.DiscretePriorMethod (bayesserver 11.1 API)

Packages that use DiscretePriorMethod
Package Description

com.bayesserver.learning.parameters

Uses of DiscretePriorMethod in com.bayesserver.learning.parameters

Methods in com.bayesserver.learning.parameters that return DiscretePriorMethod
Modifier and Type	Method	Description
`DiscretePriorMethod`	DistributionSpecification.`getDiscretePriorMethod()`	Gets the type of discrete prior to use for this distribution.
`DiscretePriorMethod`	Priors.`getDiscretePriorMethod()`	The default discrete prior to use for discrete distributions during parameter learning.
`static DiscretePriorMethod`	DiscretePriorMethod.`valueOf(String name)`	Returns the enum constant of this type with the specified name.
`static DiscretePriorMethod[]`	DiscretePriorMethod.`values()`	Returns an array containing the constants of this enum type, in the order they are declared.

Methods in com.bayesserver.learning.parameters with parameters of type DiscretePriorMethod
Modifier and Type	Method	Description
`void`	DistributionSpecification.`setDiscretePriorMethod(DiscretePriorMethod value)`	Sets the type of discrete prior to use for this distribution.
`void`	Priors.`setDiscretePriorMethod(DiscretePriorMethod value)`	The default discrete prior to use for discrete distributions during parameter learning.