FastEvalEngine

Value Members

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

   Definition Classes

   AnyRef

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

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3. final def ##(): Int

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4. final def ==(arg0: AnyRef): Boolean

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

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6. final def asInstanceOf[T0]: T0

   Definition Classes

   Any

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

   :: 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

   FastEvalEngine → BaseEngine

8. def clone(): AnyRef

   Attributes

   protected[java.lang]

   Definition Classes

   AnyRef

   Annotations

   @throws( ... )

9. 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]

   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

10. final def eq(arg0: AnyRef): Boolean

    Definition Classes

    AnyRef

11. def equals(arg0: Any): Boolean

    Definition Classes

    AnyRef → Any

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

    This is implemented such that io.prediction.controller.Evaluation can use this method to generate inputs for io.prediction.controller.Metric.

    This is implemented such that io.prediction.controller.Evaluation can use this method to generate inputs for io.prediction.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

    FastEvalEngine → Engine → BaseEngine

13. def finalize(): Unit

    Attributes

    protected[java.lang]

    Definition Classes

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    Annotations

    @throws( classOf[java.lang.Throwable] )

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

    Definition Classes

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15. def hashCode(): Int

    Definition Classes

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16. final def isInstanceOf[T0]: Boolean

    Definition Classes

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

    :: 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

    Engine → BaseEngine

18. lazy val logger: Logger

    Definition Classes

    FastEvalEngine → Engine

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

    Definition Classes

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20. final def notify(): Unit

    Definition Classes

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21. final def notifyAll(): Unit

    Definition Classes

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

    Definition Classes

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23. def toString(): String

    Definition Classes

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

    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

    Engine → BaseEngine

25. final def wait(): Unit

    Definition Classes

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    Annotations

    @throws( ... )

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

    Definition Classes

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    @throws( ... )

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

    Definition Classes

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    @throws( ... )