Class

ml.combust.mleap.runtime.transformer.classification

LogisticRegression

Related Doc: package classification

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case class LogisticRegression(uid: String = ..., featuresCol: String, predictionCol: String, rawPredictionCol: Option[String] = None, probabilityCol: Option[String] = None, model: LogisticRegressionModel) extends Transformer with Product with Serializable

Created by hwilkins on 10/22/15.

Linear Supertypes
Serializable, Serializable, Product, Equals, Transformer, AnyRef, Any
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Inherited
  1. LogisticRegression
  2. Serializable
  3. Serializable
  4. Product
  5. Equals
  6. Transformer
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Visibility
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Instance Constructors

  1. new LogisticRegression(uid: String = ..., featuresCol: String, predictionCol: String, rawPredictionCol: Option[String] = None, probabilityCol: Option[String] = None, model: LogisticRegressionModel)

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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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    AnyRef → Any

  4. final def asInstanceOf[T0]: T0

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    Any

  5. def clone(): AnyRef

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

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

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    Definition Classes
    AnyRef

  7. val featuresCol: String

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  8. def finalize(): Unit

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

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

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    Definition Classes
    AnyRef → Any

  10. final def isInstanceOf[T0]: Boolean

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    Definition Classes
    Any

  11. val model: LogisticRegressionModel

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

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    Definition Classes
    AnyRef

  13. final def notify(): Unit

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    Definition Classes
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  14. final def notifyAll(): Unit

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    Definition Classes
    AnyRef

  15. val predict: UserDefinedFunction

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  16. val predictProbabilities: UserDefinedFunction

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  17. val predictRaw: UserDefinedFunction

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  18. val predictionCol: String

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  19. val probabilityCol: Option[String]

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  20. val probabilityToPrediction: UserDefinedFunction

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  21. val rawPredictionCol: Option[String]

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  22. val rawToPrediction: UserDefinedFunction

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  23. val rawToProbability: UserDefinedFunction

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

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    Definition Classes
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  25. def transform[TB <: TransformBuilder[TB]](builder: TB): Try[TB]

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    Transform a builder using this MLeap transformer.

    Transform a builder using this MLeap transformer.

    TB

    underlying class of builder

    builder

    builder to transform

    returns

    try new builder with transformation applied

    Definition Classes
    LogisticRegression → Transformer

  26. val uid: String

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    Unique identifier for this transformer.

    Unique identifier for this transformer.

    Definition Classes
    LogisticRegression → Transformer

  27. final def wait(): Unit

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    Definition Classes
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    Annotations
    @throws( ... )

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

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    @throws( ... )

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

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    Definition Classes
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Inherited from Serializable

Inherited from Serializable

Inherited from Product

Inherited from Equals

Inherited from Transformer

Inherited from AnyRef

Inherited from Any

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