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org.apache.spark.examples

LocalLR

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object LocalLR

Logistic regression based classification.

This is an example implementation for learning how to use Spark. For more conventional use, please refer to org.apache.spark.ml.classification.LogisticRegression.

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Type Members

  1. case class DataPoint(x: Vector[Double], y: Double) extends Product with Serializable

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Value Members

  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. val D: Int

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  5. val ITERATIONS: Int

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  6. val N: Int

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  7. val R: Double

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  8. final def asInstanceOf[T0]: T0

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  9. def clone(): AnyRef

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

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  11. def equals(arg0: Any): Boolean

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  12. def finalize(): Unit

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  13. def generateData: Array[DataPoint]

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

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  15. def hashCode(): Int

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  16. final def isInstanceOf[T0]: Boolean

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  17. def main(args: Array[String]): Unit

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

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  19. final def notify(): Unit

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  20. final def notifyAll(): Unit

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  21. val rand: Random

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  22. def showWarning(): Unit

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

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  24. def toString(): String

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  25. final def wait(): Unit

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

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

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