GeneralizedEM

Instance Constructors

new GeneralizedEM(inferenceAlgorithmConstructor: (Seq[Element[_]]) ⇒ (Universe) ⇒ ProbQueryAlgorithm with OneTime, universe: Universe, targetParameters: Parameter[_]*)(terminationCriteria: () ⇒ EMTerminationCriteria)

Value Members

final def !=(arg0: Any): Boolean

Definition Classes
AnyRef → Any
final def ##(): Int

Definition Classes
AnyRef → Any
final def ==(arg0: Any): Boolean

Definition Classes
AnyRef → Any
var active: Boolean

Attributes
protected
Definition Classes
Algorithm
final def asInstanceOf[T0]: T0

Definition Classes
Any
def cleanUp(): Unit

Called when the algorithm is killed.
Called when the algorithm is killed. By default, does nothing. Can be overridden.

Definition Classes
Algorithm
def clone(): AnyRef

Attributes
protected[java.lang]
Definition Classes
AnyRef
Annotations
@throws( ... )
val debug: Boolean

Definition Classes
ExpectationMaximization
def doExpectationStep(): Map[Parameter[_], Seq[Double]]

Attributes
protected
Definition Classes
GeneralizedEM → ExpectationMaximization
def doKill(): Unit

Attributes
protected
Definition Classes
ExpectationMaximization → Algorithm
def doMaximizationStep(parameterMapping: Map[Parameter[_], Seq[Double]]): Unit

Attributes
protected
Definition Classes
ExpectationMaximization
def doResume(): Unit

Attributes
protected
Definition Classes
ExpectationMaximization → Algorithm
def doStart(): Unit

Attributes
protected
Definition Classes
ExpectationMaximization → Algorithm
def doStop(): Unit

Attributes
protected
Definition Classes
ExpectationMaximization → Algorithm
def em(): Unit

Attributes
protected
Definition Classes
ExpectationMaximization
final def eq(arg0: AnyRef): Boolean

Definition Classes
AnyRef
def equals(arg0: Any): Boolean

Definition Classes
AnyRef → Any
def finalize(): Unit

Attributes
protected[java.lang]
Definition Classes
AnyRef
Annotations
@throws( classOf[java.lang.Throwable] )
final def getClass(): Class[_]

Definition Classes
AnyRef → Any
def hashCode(): Int

Definition Classes
AnyRef → Any
def initialize(): Unit

Called when the algorithm is started before running any steps.
Called when the algorithm is started before running any steps. By default, does nothing. Can be overridden.

Definition Classes
Algorithm
def isActive: Boolean

Definition Classes
Algorithm
final def isInstanceOf[T0]: Boolean

Definition Classes
Any
def iteration(): Unit

Definition Classes
ExpectationMaximization
def kill(): Unit

Kill the algorithm so that it is inactive.
Kill the algorithm so that it is inactive. It will no longer be able to provide answers.Throws AlgorithmInactiveException if the algorithm is not active.

Definition Classes
Algorithm
final def ne(arg0: AnyRef): Boolean

Definition Classes
AnyRef
final def notify(): Unit

Definition Classes
AnyRef
final def notifyAll(): Unit

Definition Classes
AnyRef
def resume(): Unit

Resume the computation of the algorithm, if it has been stopped.
Resume the computation of the algorithm, if it has been stopped. Throws AlgorithmInactiveException if the algorithm is not active.

Definition Classes
Algorithm
def start(): Unit

Start the algorithm and make it active.
Start the algorithm and make it active. After it returns, the algorithm must be ready to provide answers. Throws AlgorithmActiveException if the algorithm is already active.

Definition Classes
Algorithm
def stop(): Unit

Stop the algorithm from computing.
Stop the algorithm from computing. The algorithm is still ready to provide answers after it returns. Throws AlgorithmInactiveException if the algorithm is not active.

Definition Classes
Algorithm
var sufficientStatistics: Map[Parameter[_], Seq[Double]]

Definition Classes
ExpectationMaximization
final def synchronized[T0](arg0: ⇒ T0): T0

Definition Classes
AnyRef
val terminationCriteria: () ⇒ EMTerminationCriteria

Definition Classes
ExpectationMaximization
def toString(): String

Definition Classes
AnyRef → Any
final def wait(): Unit

Definition Classes
AnyRef
Annotations
@throws( ... )
final def wait(arg0: Long, arg1: Int): Unit

Definition Classes
AnyRef
Annotations
@throws( ... )
final def wait(arg0: Long): Unit

Definition Classes
AnyRef
Annotations
@throws( ... )

class GeneralizedEM extends ExpectationMaximization

Instance Constructors

new GeneralizedEM(inferenceAlgorithmConstructor: (Seq[Element[_]]) ⇒ (Universe) ⇒ ProbQueryAlgorithm with OneTime, universe: Universe, targetParameters: Parameter[_]*)(terminationCriteria: () ⇒ EMTerminationCriteria)

Value Members

final def !=(arg0: Any): Boolean

final def ##(): Int

final def ==(arg0: Any): Boolean

var active: Boolean

final def asInstanceOf[T0]: T0

def cleanUp(): Unit

def clone(): AnyRef

val debug: Boolean

def doExpectationStep(): Map[Parameter[_], Seq[Double]]

def doKill(): Unit

def doMaximizationStep(parameterMapping: Map[Parameter[_], Seq[Double]]): Unit

def doResume(): Unit

def doStart(): Unit

def doStop(): Unit

def em(): Unit

final def eq(arg0: AnyRef): Boolean

def equals(arg0: Any): Boolean

def finalize(): Unit

final def getClass(): Class[_]

def hashCode(): Int

def initialize(): Unit

def isActive: Boolean

final def isInstanceOf[T0]: Boolean

def iteration(): Unit

def kill(): Unit

final def ne(arg0: AnyRef): Boolean

final def notify(): Unit

final def notifyAll(): Unit

def resume(): Unit

def start(): Unit

def stop(): Unit

var sufficientStatistics: Map[Parameter[_], Seq[Double]]

final def synchronized[T0](arg0: ⇒ T0): T0

val terminationCriteria: () ⇒ EMTerminationCriteria

def toString(): String

final def wait(): Unit

final def wait(arg0: Long, arg1: Int): Unit

final def wait(arg0: Long): Unit

Inherited from ExpectationMaximization

Inherited from ParameterLearner

Inherited from Algorithm

Inherited from AnyRef

Inherited from Any

Ungrouped