Class

org.apache.predictionio.data.storage

EngineInstance

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case class EngineInstance(id: String, status: String, startTime: com.github.nscala_time.time.Imports.DateTime, endTime: com.github.nscala_time.time.Imports.DateTime, engineId: String, engineVersion: String, engineVariant: String, engineFactory: String, batch: String, env: Map[String, String], sparkConf: Map[String, String], dataSourceParams: String, preparatorParams: String, algorithmsParams: String, servingParams: String) extends Product with Serializable

:: DeveloperApi :: Stores parameters, model, and other information for each engine instance

id

Engine instance ID.

status

Status of the engine instance.

startTime

Start time of the training/evaluation.

endTime

End time of the training/evaluation.

engineId

Engine ID of the instance.

engineVersion

Engine version of the instance.

engineVariant

Engine variant ID of the instance.

engineFactory

Engine factory class for the instance.

batch

A batch label of the engine instance.

env

The environment in which the instance was created.

sparkConf

Custom Spark configuration of the instance.

dataSourceParams

Data source parameters of the instance.

preparatorParams

Preparator parameters of the instance.

algorithmsParams

Algorithms parameters of the instance.

servingParams

Serving parameters of the instance.

Annotations
@DeveloperApi()
Linear Supertypes
Serializable, Serializable, Product, Equals, AnyRef, Any
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  1. EngineInstance
  2. Serializable
  3. Serializable
  4. Product
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Instance Constructors

  1. new EngineInstance(id: String, status: String, startTime: com.github.nscala_time.time.Imports.DateTime, endTime: com.github.nscala_time.time.Imports.DateTime, engineId: String, engineVersion: String, engineVariant: String, engineFactory: String, batch: String, env: Map[String, String], sparkConf: Map[String, String], dataSourceParams: String, preparatorParams: String, algorithmsParams: String, servingParams: String)

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    id

    Engine instance ID.

    status

    Status of the engine instance.

    startTime

    Start time of the training/evaluation.

    endTime

    End time of the training/evaluation.

    engineId

    Engine ID of the instance.

    engineVersion

    Engine version of the instance.

    engineVariant

    Engine variant ID of the instance.

    engineFactory

    Engine factory class for the instance.

    batch

    A batch label of the engine instance.

    env

    The environment in which the instance was created.

    sparkConf

    Custom Spark configuration of the instance.

    dataSourceParams

    Data source parameters of the instance.

    preparatorParams

    Preparator parameters of the instance.

    algorithmsParams

    Algorithms parameters of the instance.

    servingParams

    Serving parameters of the instance.

Value Members

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

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

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

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    AnyRef → Any
  4. val algorithmsParams: String

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    Algorithms parameters of the instance.

  5. final def asInstanceOf[T0]: T0

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    Definition Classes
    Any
  6. val batch: String

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    A batch label of the engine instance.

  7. def clone(): AnyRef

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    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  8. val dataSourceParams: String

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    Data source parameters of the instance.

  9. val endTime: com.github.nscala_time.time.Imports.DateTime

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    End time of the training/evaluation.

  10. val engineFactory: String

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    Engine factory class for the instance.

  11. val engineId: String

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    Engine ID of the instance.

  12. val engineVariant: String

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    Engine variant ID of the instance.

  13. val engineVersion: String

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    Engine version of the instance.

  14. val env: Map[String, String]

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    The environment in which the instance was created.

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

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    AnyRef
  16. def finalize(): Unit

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    protected[java.lang]
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    @throws( classOf[java.lang.Throwable] )
  17. final def getClass(): Class[_]

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  18. val id: String

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    Engine instance ID.

  19. final def isInstanceOf[T0]: Boolean

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

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    AnyRef
  21. final def notify(): Unit

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  22. final def notifyAll(): Unit

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    AnyRef
  23. val preparatorParams: String

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    Preparator parameters of the instance.

  24. val servingParams: String

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    Serving parameters of the instance.

  25. val sparkConf: Map[String, String]

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    Custom Spark configuration of the instance.

  26. val startTime: com.github.nscala_time.time.Imports.DateTime

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    Start time of the training/evaluation.

  27. val status: String

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    Status of the engine instance.

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

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  29. final def wait(): Unit

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

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

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Inherited from Serializable

Inherited from Serializable

Inherited from Product

Inherited from Equals

Inherited from AnyRef

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