ZScoreNormalization

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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. def apply[T](rdd: RDD[(Double, T)]): RDD[(Double, T)]

   Normalizes an RDD of double values by computing the Z score for each value.

   Normalizes an RDD of double values by computing the Z score for each value. Per point, the Z score (also known as standard score) is computed by subtracting the mean across all values from the point, and then dividing by the standard deviation across all points.

   T

   Type of data passed along.

   rdd

   RDD of (Double, Value) pairs to be normalized.

7. final def asInstanceOf[T0]: T0

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8. def clone(): AnyRef

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14. final def isInstanceOf[T0]: Boolean

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15. def isTraceEnabled(): Boolean

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16. def log: Logger

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17. def logDebug(msg: ⇒ String, throwable: Throwable): Unit

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18. def logDebug(msg: ⇒ String): Unit

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19. def logError(msg: ⇒ String, throwable: Throwable): Unit

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20. def logError(msg: ⇒ String): Unit

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21. def logInfo(msg: ⇒ String, throwable: Throwable): Unit

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22. def logInfo(msg: ⇒ String): Unit

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23. def logName: String

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24. def logTrace(msg: ⇒ String, throwable: Throwable): Unit

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25. def logTrace(msg: ⇒ String): Unit

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26. def logWarning(msg: ⇒ String, throwable: Throwable): Unit

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27. def logWarning(msg: ⇒ String): Unit

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

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29. final def notify(): Unit

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30. final def notifyAll(): Unit

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

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33. final def wait(): Unit

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

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

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