Class/Object

io.github.mandar2812.dynaml.evaluation

RegressionMetricsTF

Related Docs: object RegressionMetricsTF | package evaluation

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class RegressionMetricsTF extends MetricsTF

Implements a common use for Regression Task Evaluators.

Linear Supertypes
MetricsTF, AnyRef, Any
Known Subclasses
GenRegressionMetricsTF
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Inherited
  1. RegressionMetricsTF
  2. MetricsTF
  3. AnyRef
  4. Any
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Visibility
  1. Public
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Instance Constructors

  1. new RegressionMetricsTF(preds: Tensor, targets: Tensor)

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Value Members

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

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    Definition Classes
    AnyRef → Any

  2. final def ##(): Int

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    Definition Classes
    AnyRef → Any

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

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    Definition Classes
    AnyRef → Any

  4. def _target_quantity: String

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    Definition Classes
    MetricsTF

  5. final def asInstanceOf[T0]: T0

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    Definition Classes
    Any

  6. def clone(): AnyRef

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

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

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    Definition Classes
    AnyRef

  8. def equals(arg0: Any): Boolean

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    Definition Classes
    AnyRef → Any

  9. def finalize(): Unit

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

  10. def generatePlots(): Unit

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    Definition Classes
    RegressionMetricsTF → MetricsTF

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

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    Definition Classes
    AnyRef → Any

  12. def hashCode(): Int

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    Definition Classes
    AnyRef → Any

  13. final def isInstanceOf[T0]: Boolean

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    Definition Classes
    Any

  14. var name: String

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    Attributes
    protected
    Definition Classes
    MetricsTF

  15. val names: Seq[String]

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    Definition Classes
    MetricsTF

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

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    Definition Classes
    AnyRef

  17. final def notify(): Unit

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    Definition Classes
    AnyRef

  18. final def notifyAll(): Unit

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    Definition Classes
    AnyRef

  19. val preds: Tensor

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    Predictions

    Predictions

    Definition Classes
    MetricsTF

  20. def print(): Unit

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    Definition Classes
    MetricsTF

  21. lazy val results: Tensor

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    Definition Classes
    MetricsTF

  22. def run(): Tensor

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    Has the actual computational logic of producing the metrics which are to be calculated.

    Has the actual computational logic of producing the metrics which are to be calculated.

    Implement this method in sub-classes.

    Attributes
    protected
    Definition Classes
    RegressionMetricsTF → MetricsTF

  23. val scoresAndLabels: (Tensor, Tensor)

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    Attributes
    protected
    Definition Classes
    MetricsTF

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

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    Definition Classes
    AnyRef

  25. def target_quantity_(n: String): Unit

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    Definition Classes
    MetricsTF

  26. val targets: Tensor

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    The actual output values.

    The actual output values.

    Definition Classes
    MetricsTF

  27. def toString(): String

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    Definition Classes
    AnyRef → Any

  28. final def wait(): Unit

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

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

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

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

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

Inherited from MetricsTF

Inherited from AnyRef

Inherited from Any

Ungrouped