Trait

org.apache.spark.mllib.regression

RegressionModel

Related Doc: package regression

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trait RegressionModel extends Serializable

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@Since( "0.8.0" )
Source
RegressionModel.scala
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Abstract Value Members

  1. abstract def predict(testData: Vector): Double

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    Predict values for a single data point using the model trained.

    Predict values for a single data point using the model trained.

    testData

    array representing a single data point

    returns

    Double prediction from the trained model

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    @Since( "1.0.0" )
  2. abstract def predict(testData: RDD[Vector]): RDD[Double]

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    Predict values for the given data set using the model trained.

    Predict values for the given data set using the model trained.

    testData

    RDD representing data points to be predicted

    returns

    RDD[Double] where each entry contains the corresponding prediction

    Annotations
    @Since( "1.0.0" )

Concrete Value Members

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

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  2. final def ##(): Int

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  4. final def asInstanceOf[T0]: T0

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  5. def clone(): AnyRef

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  8. def finalize(): Unit

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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(testData: JavaRDD[Vector]): JavaRDD[Double]

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    Predict values for examples stored in a JavaRDD.

    Predict values for examples stored in a JavaRDD.

    testData

    JavaRDD representing data points to be predicted

    returns

    a JavaRDD[java.lang.Double] where each entry contains the corresponding prediction

    Annotations
    @Since( "1.0.0" )
  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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  20. final def wait(arg0: Long): Unit

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