Object

io.github.mandar2812.dynaml.modelpipe

SparkGLMPipe2

Related Doc: package modelpipe

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object SparkGLMPipe2 extends DataPipe2[RDD[(DenseVector[Double], Double)], DataPipe[DenseVector[Double], DenseVector[Double]], GenericGLM[RDD[(DenseVector[Double], Double)], (DenseMatrix[Double], DenseVector[Double])]]

Represents a DataPipe2 object which takes two arguments:

and returns a SparkGLM regression model.

Linear Supertypes
DataPipe2[RDD[(DenseVector[Double], Double)], DataPipe[DenseVector[Double], DenseVector[Double]], GenericGLM[RDD[(DenseVector[Double], Double)], (DenseMatrix[Double], DenseVector[Double])]], Serializable, Serializable, DataPipeConvertible[(RDD[(DenseVector[Double], Double)], DataPipe[DenseVector[Double], DenseVector[Double]]), GenericGLM[RDD[(DenseVector[Double], Double)], (DenseMatrix[Double], DenseVector[Double])]], AnyRef, Any
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Inherited
  1. SparkGLMPipe2
  2. DataPipe2
  3. Serializable
  4. Serializable
  5. DataPipeConvertible
  6. AnyRef
  7. Any
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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. def >[Result2](otherPipe: DataPipe[GenericGLM[RDD[(DenseVector[Double], Double)], (DenseMatrix[Double], DenseVector[Double])], Result2]): DataPipe2[RDD[(DenseVector[Double], Double)], DataPipe[DenseVector[Double], DenseVector[Double]], Result2]

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    Definition Classes
    DataPipe2

  5. def apply(data1: RDD[(DenseVector[Double], Double)], data2: DataPipe[DenseVector[Double], DenseVector[Double]]): GenericGLM[RDD[(DenseVector[Double], Double)], (DenseMatrix[Double], DenseVector[Double])]

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    Definition Classes
    DataPipe2

  6. final def asInstanceOf[T0]: T0

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  7. def clone(): AnyRef

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    @throws( ... )

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

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  9. def equals(arg0: Any): Boolean

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  10. def finalize(): Unit

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

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

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  12. def hashCode(): Int

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  13. final def isInstanceOf[T0]: Boolean

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

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  15. final def notify(): Unit

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  16. final def notifyAll(): Unit

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  17. def run(data1: RDD[(DenseVector[Double], Double)], data2: DataPipe[DenseVector[Double], DenseVector[Double]]): SparkGLM

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    Definition Classes
    SparkGLMPipe2 → DataPipe2

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

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    AnyRef

  19. def toPipe: ((RDD[(DenseVector[Double], Double)], DataPipe[DenseVector[Double], DenseVector[Double]])) ⇒ GenericGLM[RDD[(DenseVector[Double], Double)], (DenseMatrix[Double], DenseVector[Double])]

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    Definition Classes
    DataPipe2 → DataPipeConvertible

  20. def toString(): String

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  21. final def wait(): Unit

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

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

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Inherited from DataPipe2[RDD[(DenseVector[Double], Double)], DataPipe[DenseVector[Double], DenseVector[Double]], GenericGLM[RDD[(DenseVector[Double], Double)], (DenseMatrix[Double], DenseVector[Double])]]

Inherited from Serializable

Inherited from Serializable

Inherited from DataPipeConvertible[(RDD[(DenseVector[Double], Double)], DataPipe[DenseVector[Double], DenseVector[Double]]), GenericGLM[RDD[(DenseVector[Double], Double)], (DenseMatrix[Double], DenseVector[Double])]]

Inherited from AnyRef

Inherited from Any

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