org.apache.predictionio.workflow

WorkflowParams

case class WorkflowParams(batch: String = "", verbose: Int = 2, saveModel: Boolean = true, sparkEnv: Map[String, String] = ..., skipSanityCheck: Boolean = false, stopAfterRead: Boolean = false, stopAfterPrepare: Boolean = false) extends Product with Serializable

Workflow parameters.

batch

Batch label of the run.

verbose

Verbosity level.

saveModel

Controls whether trained models are persisted.

sparkEnv

Spark properties that will be set in SparkConf.setAll().

skipSanityCheck

Skips all data sanity check.

stopAfterRead

Stops workflow after reading from data source.

stopAfterPrepare

Stops workflow after data preparation.

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Instance Constructors

  1. new WorkflowParams(batch: String, verbose: Int, saveModel: Boolean)

  2. new WorkflowParams(batch: String = "", verbose: Int = 2, saveModel: Boolean = true, sparkEnv: Map[String, String] = ..., skipSanityCheck: Boolean = false, stopAfterRead: Boolean = false, stopAfterPrepare: Boolean = false)

    batch

    Batch label of the run.

    verbose

    Verbosity level.

    saveModel

    Controls whether trained models are persisted.

    sparkEnv

    Spark properties that will be set in SparkConf.setAll().

    skipSanityCheck

    Skips all data sanity check.

    stopAfterRead

    Stops workflow after reading from data source.

    stopAfterPrepare

    Stops workflow after data preparation.

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. val batch: String

    Batch label of the run.

  8. def clone(): AnyRef

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

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

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

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  14. final def notify(): Unit

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  15. final def notifyAll(): Unit

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  16. val saveModel: Boolean

    Controls whether trained models are persisted.

  17. val skipSanityCheck: Boolean

    Skips all data sanity check.

  18. val sparkEnv: Map[String, String]

    Spark properties that will be set in SparkConf.

    Spark properties that will be set in SparkConf.setAll().

  19. val stopAfterPrepare: Boolean

    Stops workflow after data preparation.

  20. val stopAfterRead: Boolean

    Stops workflow after reading from data source.

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

    Definition Classes
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  22. val verbose: Int

    Verbosity level.

  23. final def wait(): Unit

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

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

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