Object/Class

org.apache.spark.mllib.classification

LogisticRegressionModel

Related Docs: class LogisticRegressionModel | package classification

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object LogisticRegressionModel extends Loader[LogisticRegressionModel] with Serializable

Annotations
@Since( "1.3.0" )
Source
LogisticRegression.scala
Linear Supertypes
Serializable, Serializable, Loader[LogisticRegressionModel], AnyRef, Any
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  1. LogisticRegressionModel
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  1. final def !=(arg0: Any): Boolean

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  2. final def ##(): Int

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

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  4. final def asInstanceOf[T0]: T0

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  5. def clone(): AnyRef

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

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  7. def equals(arg0: Any): Boolean

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  8. def finalize(): Unit

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  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. def load(sc: SparkContext, path: String): LogisticRegressionModel

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    Load a model from the given path.

    Load a model from the given path.

    The model should have been saved by Saveable.save.

    sc

    Spark context used for loading model files.

    path

    Path specifying the directory to which the model was saved.

    returns

    Model instance

    Definition Classes
    LogisticRegressionModel → Loader
    Annotations
    @Since( "1.3.0" )

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

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  14. final def notify(): Unit

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  15. final def notifyAll(): Unit

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

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  17. def toString(): String

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  18. final def wait(): Unit

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

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

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Inherited from Serializable

Inherited from Serializable

Inherited from Loader[LogisticRegressionModel]

Inherited from AnyRef

Inherited from Any

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