# TensorFactor1

#### abstract class TensorFactor1[N1 <: variable.Var] extends Factor1[N1]

A 1-neighbor Factor whose statistics have type Tensor. Only "statistics" and "score" methods are abstract.

Linear Supertypes
Factor1[N1], Factor, Ordered[Factor], Comparable[Factor], AnyRef, Any
Known Subclasses
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Inherited
1. TensorFactor1
2. Factor1
3. Factor
4. Ordered
5. Comparable
6. AnyRef
7. Any
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### Type Members

1. #### type NeighborType1 = N1

Definition Classes
Factor1
2. #### type StatisticsType = Tensor

Definition Classes
TensorFactor1Factor

### Concrete Value Members

1. #### final def !=(arg0: AnyRef): Boolean

Definition Classes
AnyRef
2. #### final def !=(arg0: Any): Boolean

Definition Classes
Any
3. #### final def ##(): Int

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

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

Definition Classes
Ordered
6. #### final def ==(arg0: AnyRef): Boolean

Definition Classes
AnyRef
7. #### final def ==(arg0: Any): Boolean

Definition Classes
Any
8. #### def >(that: Factor): Boolean

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

Definition Classes
Ordered
10. #### val _1: N1

Definition Classes
TensorFactor1Factor1
11. #### var _hashCode: Int

Definition Classes
Factor

Definition Classes
Factor1
13. #### def addLimitedDiscreteValues1(i: Int): Unit

Definition Classes
Factor1
14. #### final def asInstanceOf[T0]: T0

Definition Classes
Any
15. #### 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
Factor1Factor
16. #### def assignmentScoreAndStatistics(a: variable.Assignment): (Double, StatisticsType)

Definition Classes
Factor
17. #### 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
Factor1Factor
18. #### def clone(): AnyRef

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

Definition Classes
Ordered → Comparable
21. #### def currentAssignment: Assignment1[N1]

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
Factor1Factor
22. #### 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
Factor1Factor
23. #### 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
Factor1Factor
24. #### 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
Factor1Factor
25. #### final def eq(arg0: AnyRef): Boolean

Definition Classes
AnyRef
26. #### 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
27. #### def equals(other: Any): Boolean

Definition Classes
Factor → AnyRef → Any
28. #### def factorName: String

Definition Classes
Factor
29. #### def finalize(): Unit

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

Definition Classes
AnyRef → Any
31. #### def hasLimitedDiscreteValues1: Boolean

Definition Classes
Factor1
32. #### def hashCode(): Int

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

Definition Classes
Any
34. #### def limitedDiscreteValues1: SparseBinaryTensor1

Definition Classes
Factor1
35. #### final def ne(arg0: AnyRef): Boolean

Definition Classes
AnyRef
36. #### final def notify(): Unit

Definition Classes
AnyRef
37. #### final def notifyAll(): Unit

Definition Classes
AnyRef
38. #### def numVariables: Int

The number of variables neighboring this factor.

The number of variables neighboring this factor.

Definition Classes
Factor1Factor
39. #### final def score(v1: N1.Value): Double

Definition Classes
TensorFactor1Factor1
40. #### def scoreAndStatistics(v1: N1.Value): (Double, Tensor)

Definition Classes
TensorFactor1Factor1
41. #### def statistics(v1: N1.Value): StatisticsType

Definition Classes
Factor1
42. #### def statisticsAreValues: Boolean

True iff the statistics are the values (without transformation), e.

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

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

Definition Classes
AnyRef
44. #### def toString(): String

Definition Classes
Factor → AnyRef → Any
45. #### 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
46. #### 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
47. #### 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
48. #### def valuesScore1: la.Tensor1

Return a Tensor1 containing the scores for each possible value of neighbor _1, which must be a DiscreteVar.

Return a Tensor1 containing the scores for each possible value of 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
Factor1
49. #### def valuesScoreAndStatistics(t: Tensor): (Double, Tensor)

Definition Classes
Factor
50. #### 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
51. #### def variable(i: Int): variable.Var

The Nth neighboring variable of this factor.

The Nth neighboring variable of this factor.

Definition Classes
Factor1Factor
52. #### def variables: IndexedSeq[N1]

Returns the collection of variables neighboring this factor.

Returns the collection of variables neighboring this factor.

Definition Classes
Factor1Factor
53. #### final def wait(): Unit

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

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

Definition Classes
AnyRef
Annotations
@throws( ... )