Trait

com.alpine.transformer

RegressionTransformer

Related Doc: package transformer

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trait RegressionTransformer extends MLTransformer[RealResult]

Linear Supertypes
MLTransformer[RealResult], Transformer, Serializable, Serializable, AnyRef, Any
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  1. RegressionTransformer
  2. MLTransformer
  3. Transformer
  4. Serializable
  5. Serializable
  6. AnyRef
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Type Members

  1. type Row = Seq[Any]

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    Shorthand for the input / output type of the apply method.

    Shorthand for the input / output type of the apply method. Equivalent to Seq[Any].

    Definition Classes
    Transformer

Abstract Value Members

  1. abstract def predict(row: Row): Double

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Concrete Value Members

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

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    AnyRef → Any
  2. final def ##(): Int

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

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    Definition Classes
    AnyRef → Any
  4. def allowNullValues: Boolean

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    Allows the transformer to specify if the apply method can handle null values in the input row.

    Allows the transformer to specify if the apply method can handle null values in the input row.

    e.g. a Null value replacement transformer, or a Naive Bayes transformer would naturally handle null values, but a Linear Regression transformer would not.

    Default value is false.

    returns

    Boolean indicating tolerance for null values in input.

    Definition Classes
    Transformer
  5. def apply(row: Row): Row

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    This method should be implemented with speed and garbage collection in mind, as it called once per row on potentially huge data-sets.

    This method should be implemented with speed and garbage collection in mind, as it called once per row on potentially huge data-sets.

    This method is not required to be thread-safe.

    row

    The row of input to be scored.

    returns

    The result from applying the trained model to the row.

    Definition Classes
    RegressionTransformerTransformer
  6. final def asInstanceOf[T0]: T0

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    Definition Classes
    Any
  7. def clone(): AnyRef

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    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
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    @throws( ... )
  8. final def eq(arg0: AnyRef): Boolean

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    AnyRef
  9. def equals(arg0: Any): Boolean

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    Definition Classes
    AnyRef → Any
  10. def finalize(): Unit

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    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
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    @throws( classOf[java.lang.Throwable] )
  11. final def getClass(): Class[_]

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  12. def hashCode(): Int

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    AnyRef → Any
  13. final def isInstanceOf[T0]: Boolean

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

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    AnyRef
  15. final def notify(): Unit

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    Definition Classes
    AnyRef
  16. final def notifyAll(): Unit

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    Definition Classes
    AnyRef
  17. def score(row: Row): RealResult

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    Definition Classes
    RegressionTransformerMLTransformer
  18. final def synchronized[T0](arg0: ⇒ T0): T0

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    Definition Classes
    AnyRef
  19. def toString(): String

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    Definition Classes
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  20. final def wait(): Unit

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    Definition Classes
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    Annotations
    @throws( ... )
  21. final def wait(arg0: Long, arg1: Int): Unit

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    @throws( ... )
  22. final def wait(arg0: Long): Unit

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    Definition Classes
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    @throws( ... )

Inherited from MLTransformer[RealResult]

Inherited from Transformer

Inherited from Serializable

Inherited from Serializable

Inherited from AnyRef

Inherited from Any

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