Object

mimir.models

UniformDistribution

Related Doc: package models

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object UniformDistribution extends Model with Serializable

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Model, Serializable, Serializable, AnyRef, Any
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  1. UniformDistribution
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  1. final def !=(arg0: Any): Boolean

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

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

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    Definition Classes
    AnyRef → Any
  4. def argTypes(idx: Int): List[TFloat]

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    The list of expected arg types (may be TAny)

    The list of expected arg types (may be TAny)

    Definition Classes
    UniformDistributionModel
  5. final def asInstanceOf[T0]: T0

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    Definition Classes
    Any
  6. def bestGuess(idx: Int, args: Seq[PrimitiveValue], hints: Seq[PrimitiveValue]): FloatPrimitive

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    Generate a best guess for a variable represented by this model.

    Generate a best guess for a variable represented by this model.

    idx

    The index of the variable family to generate a best guess for

    args

    The skolem identifier for the specific variable to generate a best guess for

    returns

    A primitive value representing the best guess value.

    Definition Classes
    UniformDistributionModel
  7. def bestGuessExpr(idx: Int, args: Seq[Expression]): Arithmetic

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  8. def clone(): AnyRef

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    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  9. def confidence(idx: Int, args: Seq[PrimitiveValue], hints: Seq[PrimitiveValue]): Double

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    Return confidence on a scale of 0 to 1

    Return confidence on a scale of 0 to 1

    idx

    The index of the variable family to record feedback for

    args

    The skolem identifier for the specific variable to record feedback for

    returns

    The confidence value

    Definition Classes
    UniformDistributionModel
  10. final def eq(arg0: AnyRef): Boolean

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

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    Definition Classes
    AnyRef → Any
  12. def feedback(idx: Int, args: Seq[PrimitiveValue], v: PrimitiveValue): Unit

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    Record feedback given as the "correct" value for a variable represented by this model

    Record feedback given as the "correct" value for a variable represented by this model

    idx

    The index of the variable family to record feedback for

    args

    The skolem identifier for the specific variable to record feedback for

    v

    The correct value for the parameter

    Definition Classes
    UniformDistributionModel
  13. def finalize(): Unit

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

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    Definition Classes
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  15. def hashCode(): Int

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    Definition Classes
    AnyRef → Any
  16. def hintTypes(idx: Int): Seq[Nothing]

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    The list of expected hint types (may be TAny)

    The list of expected hint types (may be TAny)

    Definition Classes
    UniformDistributionModel
  17. def isAcknowledged(idx: Int, args: Seq[PrimitiveValue]): Boolean

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    Determine whether a variable represented by this model has been acknowledged or not

    Determine whether a variable represented by this model has been acknowledged or not

    idx

    The index of the variable family to check acknowledgement of

    args

    The skolem identifier for the specific variable to check acknowledgement of

    returns

    True if the variable has been acknowledged

    Definition Classes
    UniformDistributionModel
  18. final def isInstanceOf[T0]: Boolean

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    Definition Classes
    Any
  19. val name: String

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    Definition Classes
    Model
  20. final def ne(arg0: AnyRef): Boolean

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    Definition Classes
    AnyRef
  21. final def notify(): Unit

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    Definition Classes
    AnyRef
  22. final def notifyAll(): Unit

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    Definition Classes
    AnyRef
  23. def reason(idx: Int, args: Seq[PrimitiveValue], hints: Seq[PrimitiveValue]): String

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    Generate a human-readable explanation for the uncertainty captured by this model.

    Generate a human-readable explanation for the uncertainty captured by this model.

    idx

    The index of the variable family to explain

    args

    The skolem identifier for the specific variable to explain

    returns

    A string reason explaining the uncertainty in this model

    Definition Classes
    UniformDistributionModel
  24. def sample(idx: Int, randomness: Random, args: Seq[PrimitiveValue], hints: Seq[PrimitiveValue]): FloatPrimitive

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    Generate a sample from the distribution of a variable represented by this model.

    Generate a sample from the distribution of a variable represented by this model.

    idx

    The index of the variable family to generate a sample for

    randomness

    A java.util.Random to use when generating the sample (pre-seeded)

    args

    The skolem identifier for the specific variable to generate a sample for

    returns

    A primitive value representing the generated sample

    Definition Classes
    UniformDistributionModel
  25. def sample(idx: Int, seed: Long, args: Seq[PrimitiveValue], hints: Seq[PrimitiveValue]): PrimitiveValue

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    Generate a sample from the distribution of a variable represented by this model.

    Generate a sample from the distribution of a variable represented by this model.

    idx

    The index of the variable family to generate a sample for

    seed

    The global world identifier (seed) to sample from

    args

    The skolem identifier for the specific variable to generate a sample for

    returns

    A primitive value representing the generated sample

    Definition Classes
    Model
  26. def sampleExpr(idx: Int, randomness: Expression, args: Seq[Expression]): Arithmetic

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  27. def serialize(): (Array[Byte], String)

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    Encode the model for persistence to disk/the database

    Encode the model for persistence to disk/the database

    returns

    A 2-tuple including the serialized encoding, and the name of a deserializer to use when decoding the encoding.

    Definition Classes
    Model
  28. final def synchronized[T0](arg0: ⇒ T0): T0

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    Definition Classes
    AnyRef
  29. def toString(): String

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    A string representation of this model

    A string representation of this model

    Definition Classes
    Model → AnyRef → Any
  30. def varType(idx: Int, argTypes: Seq[Type]): TFloat

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    Infer the type of the model from the types of the inputs

    Infer the type of the model from the types of the inputs

    argTypes

    The types of the arguments the the VGTerm

    returns

    The type of the value returned by this model

    Definition Classes
    UniformDistributionModel
  31. final def wait(): Unit

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

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

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

Inherited from Model

Inherited from Serializable

Inherited from Serializable

Inherited from AnyRef

Inherited from Any

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