com.cra.figaro.algorithm.factored.factors

Factor

trait Factor[T] extends AnyRef

Definition of Factor

A factor is associated with a set of variables and specifies a value for every combination of assignments to those variables. Factors are parameterized by the Variables they contain. Parent variables are distinguished from the output variable.

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Abstract Value Members

  1. abstract def combination(that: Factor[T], op: (T, T) ⇒ T): Factor[T]

    Generic combination function for factors.

    Generic combination function for factors. By default, this is product, but other operations (such as divide that is a valid operation for some semirings) can use this

  2. abstract def convert[U](): Factor[U]

    Creates a new Factor of the same class with a different type

  3. abstract def deDuplicate(): Factor[T]

    Returns a new Factor with duplicate variable(s) removed

  4. abstract def fillByRule(rule: (List[Extended[_]]) ⇒ T): Factor[T]

    Fill the contents of this factor by applying a rule to every combination of values.

  5. abstract def mapTo[U](fn: (T) ⇒ U): Factor[U]

    Fill the contents of the target by applying the given function to all elements of this factor.

  6. abstract def marginalizeTo(semiring: Semiring[T], targets: Variable[_]*): Factor[T]

    Returns the marginalization of the factor to a variable according to the given addition function.

    Returns the marginalization of the factor to a variable according to the given addition function. This involves summing out all other variables.

  7. abstract def output: List[Variable[_]]

  8. abstract def parents: List[Variable[_]]

  9. abstract def product(that: Factor[T], semiring: Semiring[T]): Factor[T]

    Returns the product of this factor with another factor according to a given multiplication function.

    Returns the product of this factor with another factor according to a given multiplication function. The product is associated with all variables in the two inputs, and the value associated with an assignment is the product of the values in the two inputs.

  10. abstract def recordArgMax[U](variable: Variable[U], comparator: (T, T) ⇒ Boolean): Factor[U]

    Returns a factor that maps values of the other variables to the value of the given variable that maximizes the entry associated with that value, according to some maximization function.

    Returns a factor that maps values of the other variables to the value of the given variable that maximizes the entry associated with that value, according to some maximization function. comparator defines the maximization. It returns true iff its second argument is greater than its first.

    U

    The type of element whose value is being recorded. The resulting factor maps values of other variables in this factor to this type.

  11. abstract def sumOver(variable: Variable[_], semiring: Semiring[T]): Factor[T]

    Returns the summation of the factor over a variable according to an addition function.

    Returns the summation of the factor over a variable according to an addition function. The result is associated with all the variables in the input except for the summed over variable and the value for a set of assignments is the sum of the values of the corresponding assignments in the input.

  12. abstract def toReadableString: String

    Produce a readable string representation of the factor

Concrete Value Members

  1. final def !=(arg0: Any): Boolean

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  2. final def ##(): Int

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  3. final def ==(arg0: Any): Boolean

    Definition Classes
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  4. def allIndices: List[List[Int]]

    Returns the indices lists corresponding to all the rows in order.

  5. final def asInstanceOf[T0]: T0

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  6. def clone(): AnyRef

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  7. var contents: Map[List[Int], T]

    Attributes
    protected[com.cra.figaro]
  8. final def eq(arg0: AnyRef): Boolean

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  9. def equals(arg0: Any): Boolean

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  10. def finalize(): Unit

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  11. def firstIndices: List[Int]

    Returns the list of indices into the variable ranges associated with the first row in the factor.

  12. def foldLeft(initial: T, fn: (T, T) ⇒ T): T

    Fold the given function through the contents of the factor, beginning with the given initial values

  13. def get(indices: List[Int]): T

    Get the value associated with a row.

    Get the value associated with a row. The row is identified by an list of indices into the ranges of the variables over which the factor is defined.

  14. final def getClass(): Class[_]

    Definition Classes
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  15. def hasStar: Boolean

    Indicates if any of this Factor's variables has Star

  16. def hashCode(): Int

    Definition Classes
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  17. def isEmpty: Boolean

    Indicates if this Factor has any variables

  18. final def isInstanceOf[T0]: Boolean

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  19. final def ne(arg0: AnyRef): Boolean

    Definition Classes
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  20. def nextIndices(indices: List[Int]): Option[List[Int]]

    Given a list of indices corresponding to a row in the factor, returns the list of indices corresponding to the next row.

    Given a list of indices corresponding to a row in the factor, returns the list of indices corresponding to the next row. Returns None if the last index list has been reached.

  21. final def notify(): Unit

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  22. final def notifyAll(): Unit

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  23. lazy val numVars: Int

  24. def set(indices: List[Int], value: T): Factor[T]

    Set the value associated with a row.

    Set the value associated with a row. The row is identified by an list of indices into the ranges of the variables over which the factor is defined.

  25. val size: Int

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

    Definition Classes
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  27. def toString(): String

    Description that includes the variable list and conditional probabilites

    Description that includes the variable list and conditional probabilites

    Definition Classes
    Factor → AnyRef → Any
  28. def variables: List[Variable[_]]

  29. final def wait(): Unit

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

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  31. final def wait(arg0: Long): Unit

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