com.alpine.result

CategoricalResult

trait CategoricalResult extends MLResult

Linear Supertypes
MLResult, AnyRef, Any
Known Subclasses
ClassificationResult, ClusteringResult
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  1. CategoricalResult
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Abstract Value Members

  1. abstract def details: Array[Double]

    A numeric detail generated by the model for each label.

    A numeric detail generated by the model for each label. Typically, this is a value which is minimized or maximized to determine the predicted value. e.g. confidence probabilities (to be maximised) or distance to the labelled cluster (to be minimised).

    This MUST be in the same order as the list returned by "labels".

    returns

    A list of numeric details corresponding to the labels (order must be preserved).

  2. abstract def labels: Seq[String]

    returns

    The list of potential labels that can be generated by the model. e.g. ["yes", "no"]

  3. abstract def value: String

    returns

    The simple value of the prediction. e.g. "yes" or "1".

    Definition Classes
    CategoricalResult → MLResult

Concrete 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. final def asInstanceOf[T0]: T0

    Definition Classes
    Any

  7. def clone(): AnyRef

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

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

    Definition Classes
    AnyRef

  9. def equals(obj: Any): Boolean

    Definition Classes
    CategoricalResult → AnyRef → Any

  10. def equals(other: MLResult, tolerance: Double): Boolean

    Used in tests to compare results, within a given numerical tolerance range.

    Used in tests to compare results, within a given numerical tolerance range.

    Definition Classes
    CategoricalResult → MLResult

  11. def finalize(): Unit

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

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

    Definition Classes
    AnyRef → Any

  13. def hashCode(): Int

    Definition Classes
    AnyRef → Any

  14. def index: Int

    returns

    The index by which the prediction value may be found in the list of labels.

  15. final def isInstanceOf[T0]: Boolean

    Definition Classes
    Any

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

    Definition Classes
    AnyRef

  17. final def notify(): Unit

    Definition Classes
    AnyRef

  18. final def notifyAll(): Unit

    Definition Classes
    AnyRef

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

    Definition Classes
    AnyRef

  20. def toMap: Map[String, Double]

  21. def toString(): String

    Definition Classes
    AnyRef → Any

  22. final def wait(): Unit

    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

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

    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

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

    Definition Classes
    AnyRef
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    @throws( ... )

Inherited from MLResult

Inherited from AnyRef

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