Class

org.apache.predictionio.controller

FastEvalEngine

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class FastEvalEngine[TD, EI, PD, Q, P, A] extends Engine[TD, EI, PD, Q, P, A]

:: Experimental :: FastEvalEngine is a subclass of Engine that exploits the immutability of controllers to optimize the evaluation process

Annotations
@Experimental()
Linear Supertypes
Engine[TD, EI, PD, Q, P, A], BaseEngine[EI, Q, P, A], Serializable, Serializable, AnyRef, Any
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Inherited
  1. FastEvalEngine
  2. Engine
  3. BaseEngine
  4. Serializable
  5. Serializable
  6. AnyRef
  7. Any
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Visibility
  1. Public
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Instance Constructors

  1. new FastEvalEngine(dataSourceClassMap: Map[String, Class[_ <: BaseDataSource[TD, EI, Q, A]]], preparatorClassMap: Map[String, Class[_ <: BasePreparator[TD, PD]]], algorithmClassMap: Map[String, Class[_ <: BaseAlgorithm[PD, _, Q, P]]], servingClassMap: Map[String, Class[_ <: BaseServing[Q, P]]])

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Value Members

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

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

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

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    AnyRef → Any
  4. val algorithmClassMap: Map[String, Class[_ <: BaseAlgorithm[PD, _, Q, P]]]

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    Map of algorithm names to classes.

    Map of algorithm names to classes.

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

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    Definition Classes
    Any
  6. def batchEval(sc: SparkContext, engineParamsList: Seq[EngineParams], params: WorkflowParams): Seq[(EngineParams, Seq[(EI, RDD[(Q, P, A)])])]

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    :: DeveloperApi :: Override this method to further optimize the process that runs multiple evaluations (during tuning, for example).

    :: DeveloperApi :: Override this method to further optimize the process that runs multiple evaluations (during tuning, for example). By default, this method calls eval for each element in the engine parameters list.

    sc

    An instance of SparkContext.

    engineParamsList

    A list of EngineParams for running batch evaluation.

    params

    An instance of WorkflowParams that controls the workflow.

    returns

    A list of engine parameters and evaluation result (from eval) tuples.

    Definition Classes
    FastEvalEngineBaseEngine
  7. def clone(): AnyRef

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    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  8. def copy(dataSourceClassMap: Map[String, Class[_ <: BaseDataSource[TD, EI, Q, A]]] = dataSourceClassMap, preparatorClassMap: Map[String, Class[_ <: BasePreparator[TD, PD]]] = preparatorClassMap, algorithmClassMap: Map[String, Class[_ <: BaseAlgorithm[PD, _, Q, P]]] = algorithmClassMap, servingClassMap: Map[String, Class[_ <: BaseServing[Q, P]]] = servingClassMap): Engine[TD, EI, PD, Q, P, A]

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    Returns a new Engine instance, mimicking case class's copy method behavior.

    Returns a new Engine instance, mimicking case class's copy method behavior.

    Definition Classes
    Engine
  9. val dataSourceClassMap: Map[String, Class[_ <: BaseDataSource[TD, EI, Q, A]]]

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    Map of data source names to class.

    Map of data source names to class.

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

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

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  12. def eval(sc: SparkContext, engineParams: EngineParams, params: WorkflowParams): Seq[(EI, RDD[(Q, P, A)])]

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    This is implemented such that org.apache.predictionio.controller.Evaluation can use this method to generate inputs for org.apache.predictionio.controller.Metric.

    This is implemented such that org.apache.predictionio.controller.Evaluation can use this method to generate inputs for org.apache.predictionio.controller.Metric.

    sc

    An instance of SparkContext.

    engineParams

    An instance of EngineParams for running a single evaluation.

    params

    An instance of WorkflowParams that controls the workflow.

    returns

    A list of evaluation information and RDD of query, predicted result, and actual result tuple tuple.

    Definition Classes
    FastEvalEngineEngineBaseEngine
  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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  15. def hashCode(): Int

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  16. final def isInstanceOf[T0]: Boolean

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    Any
  17. def jValueToEngineParams(variantJson: JValue, jsonExtractor: JsonExtractorOption): EngineParams

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    :: DeveloperApi :: Implement this method to convert a JValue (read from an engine variant JSON file) to an instance of EngineParams.

    :: DeveloperApi :: Implement this method to convert a JValue (read from an engine variant JSON file) to an instance of EngineParams.

    variantJson

    Content of the engine variant JSON as JValue.

    jsonExtractor

    Content of the engine variant JSON as JValue.

    returns

    An instance of EngineParams converted from JSON.

    Definition Classes
    EngineBaseEngine
  18. lazy val logger: Logger

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    Definition Classes
    FastEvalEngineEngine
  19. final def ne(arg0: AnyRef): Boolean

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

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  21. final def notifyAll(): Unit

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  22. val preparatorClassMap: Map[String, Class[_ <: BasePreparator[TD, PD]]]

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    Map of preparator names to class.

    Map of preparator names to class.

    Definition Classes
    Engine
  23. val servingClassMap: Map[String, Class[_ <: BaseServing[Q, P]]]

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    Map of serving names to class.

    Map of serving names to class.

    Definition Classes
    Engine
  24. final def synchronized[T0](arg0: ⇒ T0): T0

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    Definition Classes
    AnyRef
  25. def toString(): String

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    Definition Classes
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  26. def train(sc: SparkContext, engineParams: EngineParams, engineInstanceId: String, params: WorkflowParams): Seq[Any]

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    Training this engine would return a list of models.

    Training this engine would return a list of models.

    sc

    An instance of SparkContext.

    engineParams

    An instance of EngineParams for running a single training.

    params

    An instance of WorkflowParams that controls the workflow.

    returns

    A list of models.

    Definition Classes
    EngineBaseEngine
  27. final def wait(): Unit

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    Annotations
    @throws( ... )
  28. final def wait(arg0: Long, arg1: Int): Unit

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    @throws( ... )
  29. final def wait(arg0: Long): Unit

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    Definition Classes
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    @throws( ... )

Inherited from Engine[TD, EI, PD, Q, P, A]

Inherited from BaseEngine[EI, Q, P, A]

Inherited from Serializable

Inherited from Serializable

Inherited from AnyRef

Inherited from Any

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