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org.apache.spark.examples

SparkALS

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object SparkALS

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.ml.recommendation.ALS.

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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. var F: Int

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  5. var ITERATIONS: Int

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  6. val LAMBDA: Double

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  7. var M: Int

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  8. var U: Int

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  9. final def asInstanceOf[T0]: T0

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  10. def clone(): AnyRef

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

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  12. def equals(arg0: Any): Boolean

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  13. def finalize(): Unit

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  14. def generateR(): RealMatrix

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

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  16. def hashCode(): Int

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  17. final def isInstanceOf[T0]: Boolean

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

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

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  20. final def notify(): Unit

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  21. final def notifyAll(): Unit

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

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  23. def showWarning(): Unit

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

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  25. def toString(): String

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

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  27. final def wait(): Unit

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

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

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