Trait

org.incal.spark_ml

MLBase

Related Doc: package spark_ml

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trait MLBase extends AnyRef

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ForwardChainingCrossValidator, SparkMLService
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Type Members

  1. case class EvaluatorWrapper[Q](metric: Q, evaluator: Evaluator) extends Product with Serializable

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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. val classificationEvaluators: Seq[EvaluatorWrapper[models.classification.ClassificationEvalMetric.Value]]

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  6. def clone(): AnyRef

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

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  8. def equals(arg0: Any): Boolean

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  9. def finalize(): Unit

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

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  11. def hashCode(): Int

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  12. val independentTestPredictions: (Transformer, Dataset[_], Dataset[_]) ⇒ DataFrame

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  13. final def isInstanceOf[T0]: Boolean

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

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  15. final def notify(): Unit

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  16. final def notifyAll(): Unit

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  17. val orderDependentTestPredictions: (String) ⇒ (Transformer, Dataset[_], Dataset[_]) ⇒ Dataset[Row]

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  18. val orderDependentTestPredictionsWithParams: (String) ⇒ (Transformer, Dataset[_], Dataset[_], ParamMap) ⇒ Dataset[Row]

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  19. val randomSplit: (Double) ⇒ (DataFrame) ⇒ (Dataset[Row], Dataset[Row])

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  20. val regressionEvaluators: Seq[EvaluatorWrapper[models.regression.RegressionEvalMetric.Value]]

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  21. val seqSplit: (String) ⇒ (Double) ⇒ (DataFrame) ⇒ (Dataset[Row], Dataset[Row])

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  22. val splitByValue: (String) ⇒ (Double) ⇒ (DataFrame) ⇒ (Dataset[Row], Dataset[Row])

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

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  24. def toString(): String

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  25. final def wait(): Unit

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

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

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