Class

com.microsoft.ml.spark.train

MetricsLogger

Related Doc: package train

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class MetricsLogger extends AnyRef

Helper class for logging metrics to log4j.

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Instance Constructors

  1. new MetricsLogger(uid: String)

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    uid

    The unique id of the parent module caller.

Value Members

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

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

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  7. def equals(arg0: Any): Boolean

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  8. def finalize(): Unit

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

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  10. def hashCode(): Int

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  11. final def isInstanceOf[T0]: Boolean

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  12. def logAUC(auc: Double): Unit

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  13. def logClassificationMetrics(accuracy: Double, precision: Double, recall: Double): Unit

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  14. def logROC(roc: DataFrame): Unit

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  15. def logRegressionMetrics(mse: Double, rmse: Double, r2: Double, mae: Double): Unit

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  16. lazy val logger: Logger

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

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  18. final def notify(): Unit

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  19. final def notifyAll(): Unit

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

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  21. def toString(): String

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  22. final def wait(): Unit

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

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

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