Class

com.tencent.angel.ml.classification.mlr

MLRRunner

Related Doc: package mlr

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class MLRRunner extends MLRunner

Created by hbghh on 2017/8/17.

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MLRunner, AppSubmitter, AnyRef, Any
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  1. MLRRunner
  2. MLRunner
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Instance Constructors

  1. new MLRRunner()

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Value Members

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

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

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

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  4. final def asInstanceOf[T0]: T0

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  5. def clone(): AnyRef

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    protected[java.lang]
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    @throws( ... )
  6. final def eq(arg0: AnyRef): Boolean

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    AnyRef
  7. def equals(arg0: Any): Boolean

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  8. def finalize(): Unit

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

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  10. def hashCode(): Int

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  11. def incTrain(conf: Configuration): Unit

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    Incremental training job to obtain a model based on a trained model

    Incremental training job to obtain a model based on a trained model

    Definition Classes
    MLRRunnerMLRunner
  12. final def isInstanceOf[T0]: Boolean

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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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    AnyRef
  16. def predict(conf: Configuration): Unit

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    Using a model to predict with unobserved samples

    Using a model to predict with unobserved samples

    Definition Classes
    MLRRunnerMLRunner
  17. final def predict(conf: Configuration, model: MLModel, taskClass: Class[_ <: BaseTask[_, _, _]]): Unit

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    Default predict method with standard predict process.

    Default predict method with standard predict process. Don't try to override this Method.

    Attributes
    protected
    Definition Classes
    MLRunner
  18. def submit(conf: Configuration): Unit

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    MLRunner → AppSubmitter
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    @throws( ... )
  19. final def synchronized[T0](arg0: ⇒ T0): T0

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  20. def toString(): String

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  21. def train(conf: Configuration): Unit

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    Run LR train task

    Run LR train task

    conf

    : configuration of algorithm and resource

    Definition Classes
    MLRRunnerMLRunner
  22. final def train(conf: Configuration, model: MLModel, taskClass: Class[_ <: BaseTask[_, _, _]]): Unit

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    Default train method with standard training process.

    Default train method with standard training process. Don't Override this method.

    Attributes
    protected
    Definition Classes
    MLRunner
  23. final def wait(): Unit

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

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

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Inherited from MLRunner

Inherited from AppSubmitter

Inherited from AnyRef

Inherited from Any

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