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org.incal.spark_ml

MLResultUtil

Related Doc: package spark_ml

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object MLResultUtil

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Type Members

  1. type ClassificationEvalMetricStatsMap = Map[models.classification.ClassificationEvalMetric.Value, (MetricStatsValues, Option[MetricStatsValues], Option[MetricStatsValues])]

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  2. type RegressionEvalMetricStatsMap = Map[models.regression.RegressionEvalMetric.Value, (MetricStatsValues, Option[MetricStatsValues], Option[MetricStatsValues])]

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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. final def asInstanceOf[T0]: T0

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  5. def calcMetricStats[T <: Value](results: Traversable[Performance[T]]): Map[T, (MetricStatsValues, Option[MetricStatsValues], Option[MetricStatsValues])]

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  6. def clone(): AnyRef

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  7. def createClassificationResult[C <: ClassificationResult](runSpec: MLResultUtil.createClassificationResult.C.R, evalMetricStatsMap: ClassificationEvalMetricStatsMap, binCurves: Traversable[STuple3[Option[BinaryClassificationCurves]]])(implicit constructor: ClassificationResultConstructor[C]): C

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  8. def createRegressionResult[C <: RegressionResult](runSpec: MLResultUtil.createRegressionResult.C.R, evalMetricStatsMap: RegressionEvalMetricStatsMap)(implicit constructor: RegressionResultConstructor[C]): C

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  9. def createStandardClassificationResult(runSpec: ClassificationRunSpec, evalMetricStatsMap: ClassificationEvalMetricStatsMap, binCurves: Traversable[STuple3[Option[BinaryClassificationCurves]]]): StandardClassificationResult

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  10. def createStandardRegressionResult(runSpec: RegressionRunSpec, evalMetricStatsMap: RegressionEvalMetricStatsMap): StandardRegressionResult

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  11. def createTemporalClassificationResult(runSpec: TemporalClassificationRunSpec, evalMetricStatsMap: ClassificationEvalMetricStatsMap, binCurves: Traversable[STuple3[Option[BinaryClassificationCurves]]]): TemporalClassificationResult

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  12. def createTemporalRegressionResult(runSpec: TemporalRegressionRunSpec, evalMetricStatsMap: RegressionEvalMetricStatsMap): TemporalRegressionResult

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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. final def getClass(): Class[_]

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  17. def hashCode(): Int

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  18. final def isInstanceOf[T0]: Boolean

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  19. def median(seq: Seq[Double]): Double

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

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  21. final def notify(): Unit

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  22. final def notifyAll(): Unit

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

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  24. def toStats(summaryStatistics: SummaryStatistics, median: Double): MetricStatsValues

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  25. def toString(): String

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  26. final def wait(): Unit

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

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

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