Instance Constructors
-
new
GibbsInferParams
(burnIterations: Int, chains: Int, samplesPerChain: Int, skipIterations: Int)
Value Members
-
def
!=
(arg0: AnyRef): Boolean
-
def
!=
(arg0: Any): Boolean
-
def
##
(): Int
-
def
==
(arg0: AnyRef): Boolean
-
def
==
(arg0: Any): Boolean
-
def
asInstanceOf
[T0]
: T0
-
val
burnIterations
: Int
-
def
canEqual
(arg0: Any): Boolean
-
val
chains
: Int
-
def
clone
(): AnyRef
-
def
eq
(arg0: AnyRef): Boolean
-
def
equals
(arg0: Any): Boolean
-
def
finalize
(): Unit
-
def
getClass
(): java.lang.Class[_]
-
def
hashCode
(): Int
-
def
isInstanceOf
[T0]
: Boolean
-
def
ne
(arg0: AnyRef): Boolean
-
def
notify
(): Unit
-
def
notifyAll
(): Unit
-
def
productArity
: Int
-
def
productElement
(arg0: Int): Any
-
def
productIterator
: Iterator[Any]
-
def
productPrefix
: String
-
val
samplesPerChain
: Int
-
val
skipIterations
: Int
-
def
synchronized
[T0]
(arg0: ⇒ T0): T0
-
def
toString
(): String
-
def
wait
(): Unit
-
def
wait
(arg0: Long, arg1: Int): Unit
-
def
wait
(arg0: Long): Unit
Deprecated Value Members
-
def
productElements
: Iterator[Any]
Inherited from Serializable
Inherited from Serializable
Inherited from Product
Inherited from Equals
Inherited from AnyRef
Inherited from Any
Inference parameters for gibbs sampling. These defaults tend to make sense for LDA inference on relatively short documents, but are not applicable to all chains.