org.apache.spark.mllib.evaluation

RegressionMetrics

class RegressionMetrics extends Logging

:: Experimental :: Evaluator for regression.

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@Experimental()
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Instance Constructors

  1. new RegressionMetrics(predictionAndObservations: RDD[(Double, Double)])

    predictionAndObservations

    an RDD of (prediction, observation) pairs.

Value Members

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

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

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  9. def equals(arg0: Any): Boolean

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  10. def explainedVariance: Double

    Returns the explained variance regression score.

    Returns the explained variance regression score. explainedVariance = 1 - variance(y - \hat{y}) / variance(y) Reference: http://en.wikipedia.org/wiki/Explained_variation

  11. def finalize(): Unit

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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. def meanAbsoluteError: Double

    Returns the mean absolute error, which is a risk function corresponding to the expected value of the absolute error loss or l1-norm loss.

  29. def meanSquaredError: Double

    Returns the mean squared error, which is a risk function corresponding to the expected value of the squared error loss or quadratic loss.

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

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  31. final def notify(): Unit

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  32. final def notifyAll(): Unit

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  33. def r2: Double

    Returns R2, the coefficient of determination.

    Returns R2, the coefficient of determination. Reference: http://en.wikipedia.org/wiki/Coefficient_of_determination

  34. def rootMeanSquaredError: Double

    Returns the root mean squared error, which is defined as the square root of the mean squared error.

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

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  36. def toString(): String

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  37. final def wait(): Unit

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