org.apache.spark.examples

LocalALS

object LocalALS

Alternating least squares matrix factorization.

This is an example implementation for learning how to use Spark. For more conventional use, please refer to org.apache.spark.mllib.recommendation.ALS

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

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

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  3. final def ##(): Int

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  4. final def ==(arg0: AnyRef): Boolean

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

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  6. var F: Int

  7. var ITERATIONS: Int

  8. val LAMBDA: Double

  9. var M: Int

  10. var U: Int

  11. final def asInstanceOf[T0]: T0

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  12. def clone(): AnyRef

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

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  14. def equals(arg0: Any): Boolean

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  15. def finalize(): Unit

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  16. def generateR(): RealMatrix

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

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  18. def hashCode(): Int

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  19. final def isInstanceOf[T0]: Boolean

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

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

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  22. final def notify(): Unit

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  23. final def notifyAll(): Unit

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  24. def rmse(targetR: RealMatrix, ms: Array[RealVector], us: Array[RealVector]): Double

  25. def showWarning(): Unit

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

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  27. def toString(): String

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  28. def updateMovie(i: Int, m: RealVector, us: Array[RealVector], R: RealMatrix): RealVector

  29. def updateUser(j: Int, u: RealVector, ms: Array[RealVector], R: RealMatrix): RealVector

  30. final def wait(): Unit

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

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

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