Class

ml.dmlc.mxnet

EvalMetric

Related Doc: package mxnet

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abstract class EvalMetric extends AnyRef

Base class of all evaluation metrics

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Instance Constructors

  1. new EvalMetric(name: String)

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    name

    Metric name

Abstract Value Members

  1. abstract def update(labels: IndexedSeq[NDArray], preds: IndexedSeq[NDArray]): Unit

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    Update the internal evaluation.

    Update the internal evaluation.

    labels

    The labels of the data

    preds

    Predicted values.

Concrete 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. def get: (Array[String], Array[Float])

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    Get the current evaluation result.

    Get the current evaluation result.

    returns

    name, Name of the metric value, Value of the evaluation

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

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  11. def hashCode(): Int

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  12. final def isInstanceOf[T0]: Boolean

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  13. val name: String

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    Metric name

    Metric name

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    protected
  14. final def ne(arg0: AnyRef): Boolean

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  15. final def notify(): Unit

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  16. final def notifyAll(): Unit

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  17. var numInst: Int

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    Attributes
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  18. def reset(): Unit

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    Clear the internal statistics to initial state.

  19. var sumMetric: Double

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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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