Factor

Instance Constructors

new Factor(_1: N1, _2: N2, _3: N3)

Type Members

type NeighborType1 = N1

Definition Classes
Factor3
type NeighborType2 = N2

Definition Classes
Factor3
type NeighborType3 = N3

Definition Classes
Factor3
type StatisticsType = Family3.StatisticsType

Definition Classes
Factor → Factor

Value Members

final def !=(arg0: Any): Boolean

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

Definition Classes
AnyRef → Any
def <(that: model.Factor): Boolean

Definition Classes
Ordered
def <=(that: model.Factor): Boolean

Definition Classes
Ordered
final def ==(arg0: Any): Boolean

Definition Classes
AnyRef → Any
def >(that: model.Factor): Boolean

Definition Classes
Ordered
def >=(that: model.Factor): Boolean

Definition Classes
Ordered
val _1: N1

Definition Classes
Factor → Factor → Factor3
val _2: N2

Definition Classes
Factor → Factor3
val _3: N3

Definition Classes
Factor → Factor3
var _hashCode: Int

Definition Classes
Factor
final def asInstanceOf[T0]: T0

Definition Classes
Any
def assignmentScore(a: variable.Assignment): Double

The ability to score a Values object is now removed, and this is its closest alternative.
The ability to score a Values object is now removed, and this is its closest alternative.

Definition Classes
Factor3 → Factor
def assignmentScoreAndStatistics(a: variable.Assignment): (Double, StatisticsType)

Definition Classes
Factor
final def assignmentStatistics(a: variable.Assignment): StatisticsType

Return this Factor's sufficient statistics for the values in the Assignment.
Return this Factor's sufficient statistics for the values in the Assignment.

Definition Classes
Factor3 → Factor
def clone(): AnyRef

Attributes
protected[java.lang]
Definition Classes
AnyRef
Annotations
@throws( ... )
def compare(that: model.Factor): Int

Return an object that can iterate over all value assignments to the neighbors of this Factor
Return an object that can iterate over all value assignments to the neighbors of this Factor

Definition Classes
Factor → Ordered
def compareTo(that: model.Factor): Int

Definition Classes
Ordered → Comparable
def currentAssignment: Assignment3[N1, N2, N3]

Return a record of the current values of this Factor's neighbors.
Return a record of the current values of this Factor's neighbors.

Definition Classes
Factor3 → Factor
def currentScore: Double

This factor's contribution to the unnormalized log-probability of the current possible world.
This factor's contribution to the unnormalized log-probability of the current possible world.

Definition Classes
Factor3 → Factor
def currentScoreAndStatistics: (Double, StatisticsType)

Return the score and statistics of the current neighbor values; this method enables special cases in which it is more efficient to calculate them together.
Return the score and statistics of the current neighbor values; this method enables special cases in which it is more efficient to calculate them together.

Definition Classes
Factor3 → Factor
def currentStatistics: StatisticsType

Return this Factor's sufficient statistics of the current values of the Factor's neighbors.
Return this Factor's sufficient statistics of the current values of the Factor's neighbors.

Definition Classes
Factor3 → Factor
final def eq(arg0: AnyRef): Boolean

Definition Classes
AnyRef
def equalityPrerequisite: AnyRef

In order to two Factors to satisfy "equals", the value returned by this method for each Factor must by "eq".
In order to two Factors to satisfy "equals", the value returned by this method for each Factor must by "eq". This method is overridden in Family to deal with Factors that are inner classes.

Definition Classes
Factor → Factor → Factor
def equals(other: Any): Boolean

Definition Classes
Factor → AnyRef → Any
def factorName: String

Definition Classes
Factor → Factor
def family: Family3.FamilyType

Definition Classes
Factor
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 hasLimitedDiscreteValues1: Boolean

Definition Classes
Factor3
def hasLimitedDiscreteValues12: Boolean

Definition Classes
Factor3
def hasLimitedDiscreteValues123: Boolean

Definition Classes
Factor3
def hashCode(): Int

A hashCode matching the criteria in equals, using hashCode of the Factor's class and of the Factor's neighboring variables.
A hashCode matching the criteria in equals, using hashCode of the Factor's class and of the Factor's neighboring variables.

Definition Classes
Factor → AnyRef → Any
final def isInstanceOf[T0]: Boolean

Definition Classes
Any
def limitedDiscreteValues1: SparseBinaryTensor1

Definition Classes
Factor → Factor3
def limitedDiscreteValues12: SparseBinaryTensor2

Definition Classes
Factor → Factor3
def limitedDiscreteValues123: SparseBinaryTensor3

Definition Classes
Factor → Factor3
final def ne(arg0: AnyRef): Boolean

Definition Classes
AnyRef
final def notify(): Unit

Definition Classes
AnyRef
final def notifyAll(): Unit

Definition Classes
AnyRef
def numVariables: Int

The number of variables neighboring this factor.
The number of variables neighboring this factor.

Definition Classes
Factor3 → Factor
def score(value1: N1.Value, value2: N2.Value, value3: N3.Value): Double

Definition Classes
Factor → Factor3
def scoreAndStatistics(v1: N1.Value, v2: N2.Value, v3: N3.Value): (Double, StatisticsType)

Definition Classes
Factor → Factor3
def statistics(v1: N1.Value, v2: N2.Value, v3: N3.Value): StatisticsType

Definition Classes
Factor → Factor3
def statisticsAreValues: Boolean

True iff the statistics are the values (without transformation), e.g.
True iff the statistics are the values (without transformation), e.g. valuesStatistics simply returns its argument.

Definition Classes
Factor → Factor
def statisticsScore(tensor: Tensor): Double

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

Definition Classes
AnyRef
def toString(): String

Definition Classes
Factor → AnyRef → Any
def touches(variable: variable.Var): Boolean

Does this Factor have the given variable among its neighbors?
Does this Factor have the given variable among its neighbors?

Definition Classes
Factor
def touchesAny(variables: Iterable[variable.Var]): Boolean

Does this Factor have any of the given variables among its neighbors?
Does this Factor have any of the given variables among its neighbors?

Definition Classes
Factor
def valuesScore(tensor: Tensor): Double

Return the score for Factors whose values can be represented as a Tensor, otherwise throw an Error.
Return the score for Factors whose values can be represented as a Tensor, otherwise throw an Error. For Factors/Family in which the Statistics are the values, this method simply calls statisticsScore(Tensor).

Definition Classes
Factor → Factor
def valuesScore1(tensor1: Tensor, tensor2: Tensor, tensor3: Tensor): la.Tensor1

Given the Tensor value of neighbors _2 and _3, return a Tensor1 containing the scores for each possible value neighbor _1, which must be a DiscreteVar.
Given the Tensor value of neighbors _2 and _3, return a Tensor1 containing the scores for each possible value neighbor _1, which must be a DiscreteVar. Note that the returned Tensor may be sparse if this factor is set up for limited values iteration. If _1 is not a DiscreteVar then throws an Error.

Definition Classes
Factor3
def valuesScore2(tensor1: Tensor, tensor2: Tensor, tensor3: Tensor): la.Tensor1

Definition Classes
Factor3
def valuesScore3(tensor1: Tensor, tensor2: Tensor, tensor3: Tensor): la.Tensor1

Definition Classes
Factor3
def valuesScoreAndStatistics(t: Tensor): (Double, Tensor)

Definition Classes
Factor
def valuesStatistics(tensor: Tensor): Tensor

Given a Tensor representation of the values, return a Tensor representation of the statistics.
Given a Tensor representation of the values, return a Tensor representation of the statistics. We assume that if the values have Tensor representation that the StatisticsType does also. Note that (e.g. in BP) the Tensor may represent not just a single value for each neighbor, but a distribution over values

Definition Classes
Factor → Factor
def variable(i: Int): variable.Var

The Nth neighboring variable of this factor.
The Nth neighboring variable of this factor.

Definition Classes
Factor3 → Factor
def variables: IndexedSeq[variable.Var]

Returns the collection of variables neighboring this factor.
Returns the collection of variables neighboring this factor.

Definition Classes
Factor3 → Factor
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( ... )

final case class Factor(_1: N1, _2: N2, _3: N3) extends Factor3[N1, N2, N3] with Family3.Factor with Product with Serializable

Instance Constructors

new Factor(_1: N1, _2: N2, _3: N3)

Type Members

type NeighborType1 = N1

type NeighborType2 = N2

type NeighborType3 = N3

type StatisticsType = Family3.StatisticsType

Value Members

final def !=(arg0: Any): Boolean

final def ##(): Int

def <(that: model.Factor): Boolean

def <=(that: model.Factor): Boolean

final def ==(arg0: Any): Boolean

def >(that: model.Factor): Boolean

def >=(that: model.Factor): Boolean

val _1: N1

val _2: N2

val _3: N3

var _hashCode: Int

final def asInstanceOf[T0]: T0

def assignmentScore(a: variable.Assignment): Double

def assignmentScoreAndStatistics(a: variable.Assignment): (Double, StatisticsType)

final def assignmentStatistics(a: variable.Assignment): StatisticsType

def clone(): AnyRef

def compare(that: model.Factor): Int

def compareTo(that: model.Factor): Int

def currentAssignment: Assignment3[N1, N2, N3]

def currentScore: Double

def currentScoreAndStatistics: (Double, StatisticsType)

def currentStatistics: StatisticsType

final def eq(arg0: AnyRef): Boolean

def equalityPrerequisite: AnyRef

def equals(other: Any): Boolean

def factorName: String

def family: Family3.FamilyType

def finalize(): Unit

final def getClass(): Class[_]

def hasLimitedDiscreteValues1: Boolean

def hasLimitedDiscreteValues12: Boolean

def hasLimitedDiscreteValues123: Boolean

def hashCode(): Int

final def isInstanceOf[T0]: Boolean

def limitedDiscreteValues1: SparseBinaryTensor1

def limitedDiscreteValues12: SparseBinaryTensor2

def limitedDiscreteValues123: SparseBinaryTensor3

final def ne(arg0: AnyRef): Boolean

final def notify(): Unit

final def notifyAll(): Unit

def numVariables: Int

def score(value1: N1.Value, value2: N2.Value, value3: N3.Value): Double

def scoreAndStatistics(v1: N1.Value, v2: N2.Value, v3: N3.Value): (Double, StatisticsType)

def statistics(v1: N1.Value, v2: N2.Value, v3: N3.Value): StatisticsType

def statisticsAreValues: Boolean

def statisticsScore(tensor: Tensor): Double

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

def toString(): String

def touches(variable: variable.Var): Boolean

def touchesAny(variables: Iterable[variable.Var]): Boolean

def valuesScore(tensor: Tensor): Double

def valuesScore1(tensor1: Tensor, tensor2: Tensor, tensor3: Tensor): la.Tensor1

def valuesScore2(tensor1: Tensor, tensor2: Tensor, tensor3: Tensor): la.Tensor1

def valuesScore3(tensor1: Tensor, tensor2: Tensor, tensor3: Tensor): la.Tensor1

def valuesScoreAndStatistics(t: Tensor): (Double, Tensor)

def valuesStatistics(tensor: Tensor): Tensor

def variable(i: Int): variable.Var

def variables: IndexedSeq[variable.Var]

final def wait(): Unit

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

final def wait(arg0: Long): Unit

Inherited from Serializable

Inherited from Serializable

Inherited from Product

Inherited from Equals

Inherited from Family3.Factor

Inherited from Factor3[N1, N2, N3]

Inherited from model.Factor

Inherited from Ordered[model.Factor]

Inherited from Comparable[model.Factor]