Class

org.apache.predictionio.controller

SimpleEngine

Related Doc: package controller

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class SimpleEngine[TD, EI, Q, P, A] extends Engine[TD, EI, TD, Q, P, A]

SimpleEngine has only one algorithm, and uses default preparator and serving layer. Current default preparator is IdentityPreparator and serving is FirstServing.

TD

Training data class.

EI

Evaluation info class.

Q

Input query class.

P

Output prediction class.

A

Actual value class.

Linear Supertypes
Engine[TD, EI, TD, Q, P, A], BaseEngine[EI, Q, P, A], Serializable, Serializable, AnyRef, Any
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Inherited
  1. SimpleEngine
  2. Engine
  3. BaseEngine
  4. Serializable
  5. Serializable
  6. AnyRef
  7. Any
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Visibility
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Instance Constructors

  1. new SimpleEngine(dataSourceClass: Class[_ <: BaseDataSource[TD, EI, Q, A]], algorithmClass: Class[_ <: BaseAlgorithm[TD, _, Q, P]])

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    dataSourceClass

    Data source class.

    algorithmClass

    of algorithm names to classes.

Value Members

  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. val algorithmClassMap: Map[String, Class[_ <: BaseAlgorithm[TD, _, 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
    BaseEngine
    Annotations
    @DeveloperApi()
  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, TD]]] = preparatorClassMap, algorithmClassMap: Map[String, Class[_ <: BaseAlgorithm[TD, _, Q, P]]] = algorithmClassMap, servingClassMap: Map[String, Class[_ <: BaseServing[Q, P]]] = servingClassMap): Engine[TD, EI, TD, 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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    Definition Classes
    AnyRef → Any
  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
    EngineBaseEngine
  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
    AnyRef → Any
  15. def hashCode(): Int

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    Definition Classes
    AnyRef → Any
  16. final def isInstanceOf[T0]: Boolean

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    Definition Classes
    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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    Attributes
    protected
    Definition Classes
    Engine
  19. final def ne(arg0: AnyRef): Boolean

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

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

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    Definition Classes
    AnyRef
  22. val preparatorClassMap: Map[String, Class[_ <: BasePreparator[TD, TD]]]

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

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

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

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

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

Inherited from Serializable

Inherited from Serializable

Inherited from AnyRef

Inherited from Any

Ungrouped