Class

mimir.models

SimpleSparkClassifierModel

Related Doc: package models

Permalink

class SimpleSparkClassifierModel extends Model with NeedsReconnectToDatabase with SourcedFeedback with ModelCache

Annotations
@SerialVersionUID()
Linear Supertypes
ModelCache, SourcedFeedback, SourcedFeedbackT[String], NeedsReconnectToDatabase, Model, Serializable, Serializable, AnyRef, Any
Ordering
  1. Alphabetic
  2. By Inheritance
Inherited
  1. SimpleSparkClassifierModel
  2. ModelCache
  3. SourcedFeedback
  4. SourcedFeedbackT
  5. NeedsReconnectToDatabase
  6. Model
  7. Serializable
  8. Serializable
  9. AnyRef
  10. Any
  1. Hide All
  2. Show All
Visibility
  1. Public
  2. All

Instance Constructors

  1. new SimpleSparkClassifierModel(name: String, colName: String, query: Operator)

    Permalink

Value Members

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

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

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

    Permalink
    Definition Classes
    AnyRef → Any
  4. def argTypes(idx: Int): Seq[Type]

    Permalink

    The list of expected arg types (may be TAny)

    The list of expected arg types (may be TAny)

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

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

    Permalink

    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
    SimpleSparkClassifierModelModel
  7. val cache: Map[String, PrimitiveValue]

    Permalink
    Definition Classes
    ModelCache
  8. def classifyAll(): Unit

    Permalink
  9. var classifyAllPredictions: Option[Map[String, Seq[(String, Double)]]]

    Permalink
  10. val classifyUpFrontAndCache: Boolean

    Permalink
  11. def clone(): AnyRef

    Permalink
    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  12. val colIdx: Int

    Permalink
  13. def confidence(idx: Int, args: Seq[PrimitiveValue], hints: Seq[PrimitiveValue]): Double

    Permalink

    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
    SimpleSparkClassifierModelModel
  14. var db: Database

    Permalink
  15. final def eq(arg0: AnyRef): Boolean

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

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

    Permalink

    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
    SimpleSparkClassifierModelModel
  18. val feedback: Map[String, Map[FeedbackSourceIdentifier, PrimitiveValue]]

    Permalink
    Definition Classes
    SourcedFeedbackT
  19. val feedbackSources: Set[FeedbackSourceIdentifier]

    Permalink
    Definition Classes
    SourcedFeedbackT
  20. def finalize(): Unit

    Permalink
    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( classOf[java.lang.Throwable] )
  21. def getCache(idx: Int, args: Seq[PrimitiveValue], hints: Seq[PrimitiveValue]): Option[PrimitiveValue]

    Permalink
    Definition Classes
    ModelCache
  22. def getCacheKey(idx: Int, args: Seq[PrimitiveValue], hints: Seq[PrimitiveValue]): String

    Permalink
    Definition Classes
    SimpleSparkClassifierModelModelCache
  23. final def getClass(): Class[_]

    Permalink
    Definition Classes
    AnyRef → Any
  24. def getFeedback(idx: Int, args: Seq[PrimitiveValue]): Option[PrimitiveValue]

    Permalink
    Definition Classes
    SourcedFeedbackT
  25. def getFeedbackKey(idx: Int, args: Seq[PrimitiveValue]): String

    Permalink
  26. def getReasonWho(idx: Int, args: Seq[PrimitiveValue]): String

    Permalink
    Definition Classes
    SourcedFeedbackT
  27. def guessInputType: Type

    Permalink
  28. def guessSparkModelType(t: Type): String

    Permalink
  29. def hasFeedback(idx: Int, args: Seq[PrimitiveValue]): Boolean

    Permalink
    Definition Classes
    SourcedFeedbackT
  30. def hasGroundFeedback(idx: Int, args: Seq[PrimitiveValue]): Boolean

    Permalink
    Definition Classes
    SourcedFeedbackT
  31. def hashCode(): Int

    Permalink
    Definition Classes
    AnyRef → Any
  32. def hintTypes(idx: Int): Seq[Type]

    Permalink

    The list of expected hint types (may be TAny)

    The list of expected hint types (may be TAny)

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

    Permalink

    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
    SimpleSparkClassifierModelModel
  34. final def isInstanceOf[T0]: Boolean

    Permalink
    Definition Classes
    Any
  35. var learner: Option[SparkModel]

    Permalink
  36. val name: String

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

    Permalink
    Definition Classes
    AnyRef
  38. final def notify(): Unit

    Permalink
    Definition Classes
    AnyRef
  39. final def notifyAll(): Unit

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

    Permalink

    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
    SimpleSparkClassifierModelModel
  41. def reconnectToDatabase(db: Database): Unit

    Permalink
  42. def sample(idx: Int, randomness: Random, args: Seq[PrimitiveValue], hints: Seq[PrimitiveValue]): PrimitiveValue

    Permalink

    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
    SimpleSparkClassifierModelModel
  43. def sample(idx: Int, seed: Long, args: Seq[PrimitiveValue], hints: Seq[PrimitiveValue]): PrimitiveValue

    Permalink

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

    Permalink

    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
  45. def setCache(idx: Int, args: Seq[PrimitiveValue], hints: Seq[PrimitiveValue], value: PrimitiveValue): Unit

    Permalink
    Definition Classes
    ModelCache
  46. def setFeedback(idx: Int, args: Seq[PrimitiveValue], value: PrimitiveValue): Unit

    Permalink
    Definition Classes
    SourcedFeedbackT
  47. def sparkMLInstance: SparkML

    Permalink
  48. var sparkMLInstanceType: String

    Permalink
  49. def sparkMLModelGenerator: SparkModelGenerator

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

    Permalink
    Definition Classes
    AnyRef
  51. def toString(): String

    Permalink

    A string representation of this model

    A string representation of this model

    Definition Classes
    Model → AnyRef → Any
  52. def train(db: Database): Unit

    Permalink

    When the model is created, learn associations from the existing data.

  53. def varType(idx: Int, args: Seq[Type]): Type

    Permalink

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

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

    returns

    The type of the value returned by this model

    Definition Classes
    SimpleSparkClassifierModelModel
  54. final def wait(): Unit

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

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

    Permalink
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

Inherited from ModelCache

Inherited from SourcedFeedback

Inherited from SourcedFeedbackT[String]

Inherited from NeedsReconnectToDatabase

Inherited from Model

Inherited from Serializable

Inherited from Serializable

Inherited from AnyRef

Inherited from Any

Ungrouped