ml.combust.mleap.runtime.transformer.classification

LogisticRegression

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

Created by hwilkins on 10/22/15.

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Serializable, Serializable, Product, Equals, Transformer, AnyRef, Any
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  1. LogisticRegression
  2. Serializable
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Instance Constructors

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

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. val featuresCol: String

  10. def finalize(): Unit

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

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

    Definition Classes
    AnyRef → Any

  12. final def isInstanceOf[T0]: Boolean

    Definition Classes
    Any

  13. val model: LogisticRegressionModel

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

    Definition Classes
    AnyRef

  15. final def notify(): Unit

    Definition Classes
    AnyRef

  16. final def notifyAll(): Unit

    Definition Classes
    AnyRef

  17. val predict: UserDefinedFunction

  18. val predictProbabilities: UserDefinedFunction

  19. val predictRaw: UserDefinedFunction

  20. val predictionCol: String

  21. val probabilityCol: Option[String]

  22. val probabilityToPrediction: UserDefinedFunction

  23. val rawPredictionCol: Option[String]

  24. val rawToPrediction: UserDefinedFunction

  25. val rawToProbability: UserDefinedFunction

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

    Definition Classes
    AnyRef

  27. def transform[TB <: TransformBuilder[TB]](builder: TB): Try[TB]

    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

  28. val uid: String

    Unique identifier for this transformer.

    Unique identifier for this transformer.

    Definition Classes
    LogisticRegression → Transformer

  29. final def wait(): Unit

    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

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

    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

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

    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

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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