com.intel.analytics.bigdl.optim

Metrics

class Metrics extends Serializable

Performance metrics for the training process. Beyond collect local metrics(e.g. throughput) in driver node, it can also be used to collect distributed metrics (e.g. time of some steps among the workers). The is useful for performance analysis.

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Instance Constructors

  1. new Metrics()

Value Members

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

    Definition Classes
    AnyRef

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

    Definition Classes
    Any

  3. final def ##(): Int

    Definition Classes
    AnyRef → Any

  4. final def ==(arg0: AnyRef): Boolean

    Definition Classes
    AnyRef

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

    Definition Classes
    Any

  6. def add(name: String, value: Double): Metrics.this.type

  7. final def asInstanceOf[T0]: T0

    Definition Classes
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  8. def clone(): AnyRef

    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

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

    Definition Classes
    AnyRef

  10. def equals(arg0: Any): Boolean

    Definition Classes
    AnyRef → Any

  11. def finalize(): Unit

    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( classOf[java.lang.Throwable] )

  12. def get(name: String, number: Int): Array[Double]

  13. def get(name: String): (Double, Int)

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

    Definition Classes
    AnyRef → Any

  15. def hashCode(): Int

    Definition Classes
    AnyRef → Any

  16. final def isInstanceOf[T0]: Boolean

    Definition Classes
    Any

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

    Definition Classes
    AnyRef

  18. final def notify(): Unit

    Definition Classes
    AnyRef

  19. final def notifyAll(): Unit

    Definition Classes
    AnyRef

  20. def set(name: String, value: ArrayBuffer[Double], sc: SparkContext): Metrics.this.type

  21. def set(name: String, value: Double, sc: SparkContext, parallel: Int): Metrics.this.type

  22. def set(name: String, value: Double, parallel: Int = 1): Metrics.this.type

  23. def summary(unit: String = "s", scale: Double = 1e9): String

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

    Definition Classes
    AnyRef

  25. def toString(): String

    Definition Classes
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  26. final def wait(): Unit

    Definition Classes
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    Annotations
    @throws( ... )

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

    Definition Classes
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    Annotations
    @throws( ... )

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

    Definition Classes
    AnyRef
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    @throws( ... )

Inherited from Serializable

Inherited from Serializable

Inherited from AnyRef

Inherited from Any

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