Class/Object

org.nlp4l.framework.builtin.spark.mllib

LogisticRegressionModelSupport

Related Docs: object LogisticRegressionModelSupport | package mllib

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class LogisticRegressionModelSupport extends ModelSupport

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ModelSupport, Serializable, AnyRef, Any
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Inherited
  1. LogisticRegressionModelSupport
  2. ModelSupport
  3. Serializable
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Instance Constructors

  1. new LogisticRegressionModelSupport(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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  3. final def ==(arg0: Any): Boolean

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    AnyRef → Any

  4. final def asInstanceOf[T0]: T0

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  5. def clone(): AnyRef

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

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

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    AnyRef

  7. def equals(arg0: Any): Boolean

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  8. def finalize(): Unit

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    protected[java.lang]
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    @throws( classOf[java.lang.Throwable] )

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

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  10. def hashCode(): Int

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  11. final def isInstanceOf[T0]: Boolean

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

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  13. final def notify(): Unit

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  14. final def notifyAll(): Unit

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  15. def predict(features: Vector): Double

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    Definition Classes
    LogisticRegressionModelSupport → ModelSupport

  16. def save(sc: SparkContext, path: String): Unit

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    Definition Classes
    LogisticRegressionModelSupport → ModelSupport

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

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  18. def toString(): String

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  19. final def wait(): Unit

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    @throws( ... )

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

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

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Inherited from ModelSupport

Inherited from Serializable

Inherited from AnyRef

Inherited from Any

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