Workflow

Value Members

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

   Definition Classes

   AnyRef

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

   Definition Classes

   Any

3. final def ##(): Int

   Definition Classes

   AnyRef → Any

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

   Definition Classes

   AnyRef

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

   Definition Classes

   Any

6. final def asInstanceOf[T0]: T0

   Definition Classes

   Any

7. def clone(): AnyRef

   Attributes

   protected[java.lang]

   Definition Classes

   AnyRef

   Annotations

   @throws( ... )

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

   Definition Classes

   AnyRef

9. def equals(arg0: Any): Boolean

   Definition Classes

   AnyRef → Any

10. def finalize(): Unit

    Attributes

    protected[java.lang]

    Definition Classes

    AnyRef

    Annotations

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

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

    Definition Classes

    AnyRef → Any

12. def hashCode(): Int

    Definition Classes

    AnyRef → Any

13. final def isInstanceOf[T0]: Boolean

    Definition Classes

    Any

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

    Definition Classes

    AnyRef

15. final def notify(): Unit

    Definition Classes

    AnyRef

16. final def notifyAll(): Unit

    Definition Classes

    AnyRef

17. def run[EI, TD, PD, Q, P, A, MU, MR, MMR <: AnyRef](dataSourceClassOpt: Option[Class[_ <: BaseDataSource[TD, EI, Q, A]]] = None, dataSourceParams: Params = EmptyParams(), preparatorClassOpt: Option[Class[_ <: BasePreparator[TD, PD]]] = None, preparatorParams: Params = EmptyParams(), algorithmClassMapOpt: Option[Map[String, Class[_ <: BaseAlgorithm[PD, _, Q, P]]]] = None, algorithmParamsList: Seq[(String, Params)] = null, servingClassOpt: Option[Class[_ <: BaseServing[Q, P]]] = None, servingParams: Params = EmptyParams(), evaluatorClassOpt: Option[Class[_ <: BaseEvaluator[EI, Q, P, A, MU, MR, MMR]]] = None, evaluatorParams: Params = EmptyParams(), params: WorkflowParams = WorkflowParams())(implicit arg0: ClassTag[MU], arg1: ClassTag[MR], arg2: ClassTag[MMR]): Unit

    Creates a workflow that runs a collection of engine components.

    Creates a workflow that runs a collection of engine components.

    EI

    Evalution info class.

    TD

    Training data class.

    PD

    Prepared data class.

    Q

    Input query class.

    P

    Output prediction class.

    A

    Actual value class.

    MU

    Evaluator unit class.

    MR

    Evaluator result class.

    MMR

    Multiple evaluator results class.

    dataSourceClassOpt

    Optional data source class.

    dataSourceParams

    Data source parameters.

    preparatorClassOpt

    Optional preparator class.

    preparatorParams

    Preparator parameters.

    algorithmClassMapOpt

    Optional map of algorithm names to classes.

    algorithmParamsList

    List of instantiated algorithms and their parameters.

    servingClassOpt

    Optional serving class.

    servingParams

    Serving parameters.

    evaluatorClassOpt

    Optional evaluator class.

    evaluatorParams

    Evaluator parameters.

    params

    Workflow parameters.

18. def runEngine[EI, TD, PD, Q, P, A, MU, MR, MMR <: AnyRef](params: WorkflowParams = WorkflowParams(), engine: Engine[TD, EI, PD, Q, P, A], engineParams: EngineParams, evaluatorClassOpt: Option[Class[_ <: BaseEvaluator[EI, Q, P, A, MU, MR, MMR]]] = None, evaluatorParams: Params = EmptyParams())(implicit arg0: ClassTag[MU], arg1: ClassTag[MR], arg2: ClassTag[MMR]): Unit

    Creates a workflow that runs an engine.

    Creates a workflow that runs an engine.

    EI

    Evalution info class.

    TD

    Training data class.

    PD

    Prepared data class.

    Q

    Input query class.

    P

    Output prediction class.

    A

    Actual value class.

    MU

    Evaluator unit class.

    MR

    Evaluator result class.

    MMR

    Multiple evaluator results class.

    params

    Workflow parameters.

    engine

    An instance of Engine.

    engineParams

    Engine parameters.

    evaluatorClassOpt

    Optional evaluator class.

    evaluatorParams

    Evaluator parameters.

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

    Definition Classes

    AnyRef

20. def toString(): String

    Definition Classes

    AnyRef → Any

21. final def wait(): Unit

    Definition Classes

    AnyRef

    Annotations

    @throws( ... )

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

    Definition Classes

    AnyRef

    Annotations

    @throws( ... )

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

    Definition Classes

    AnyRef

    Annotations

    @throws( ... )