org.apache.predictionio.core

BaseEngine

abstract class BaseEngine[EI, Q, P, A] extends Serializable

:: DeveloperApi :: Base class of all engine controller classes

EI

Evaluation information class

Q

Query class

P

Predicted result class

A

Actual result class

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@DeveloperApi()
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Instance Constructors

  1. new BaseEngine()

Abstract Value Members

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

    :: DeveloperApi :: Implement this method so that org.apache.predictionio.controller.Evaluation can use this method to generate inputs for org.apache.predictionio.controller.Metric.

    :: DeveloperApi :: Implement this method so 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.

    Annotations
    @DeveloperApi()
  2. abstract def train(sc: SparkContext, engineParams: EngineParams, engineInstanceId: String, params: WorkflowParams): Seq[Any]

    :: DeveloperApi :: Implement this method so that training this engine would return a list of models.

    :: DeveloperApi :: Implement this method so that 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.

    Annotations
    @DeveloperApi()

Concrete Value Members

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

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

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  3. final def ##(): Int

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

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  6. final def asInstanceOf[T0]: T0

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  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.

    Annotations
    @DeveloperApi()
  8. def clone(): AnyRef

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  14. final def isInstanceOf[T0]: Boolean

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  15. 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.

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    @DeveloperApi()
  16. final def ne(arg0: AnyRef): Boolean

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  17. final def notify(): Unit

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  18. final def notifyAll(): Unit

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