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org.apache.spark.ml.clustering.tupol

XKMeansReporting

Related Doc: package tupol

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object XKMeansReporting

Defines a set of reports generated from a PipelineModel with XKMeansModel and proper feature names.

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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. final def asInstanceOf[T0]: T0

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  5. def clone(): AnyRef

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  6. def clusterDistancesReport(implicit model: XKMeansModel): String

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    Returns a Markdown table report with distances between cluster centres.

    Returns a Markdown table report with distances between cluster centres.

    model

    XKMeansModel

    returns

    report

  7. def clusterDistancesTopListReport(implicit model: XKMeansModel): String

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    Returns a Markdown table report with top list of distances starting from the shortest.

    Returns a Markdown table report with top list of distances starting from the shortest.

    model

    XKMeansModel

    returns

    report

  8. def crossClusterProbabilityReport(implicit model: XKMeansModel): String

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    Returns a Markdown table report with top list of distances starting from the shortest.

    Returns a Markdown table report with top list of distances starting from the shortest.

    model

    XKMeansModel

    returns

    report

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

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  10. def equals(arg0: Any): Boolean

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  11. def finalize(): Unit

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

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  13. def hashCode(): Int

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  14. final def isInstanceOf[T0]: Boolean

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  15. lazy val legend: String

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  16. def modelParametersReport(implicit model: XKMeansModel): String

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    Returns a Markdown table report with org.apache.spark.ml.clustering.tupol.evaluation.ClusteringDistanceSummary#summaryByModel statistics.

    Returns a Markdown table report with org.apache.spark.ml.clustering.tupol.evaluation.ClusteringDistanceSummary#summaryByModel statistics.

    model

    XKMeansModel

    returns

    report

  17. def modelReport(implicit model: XKMeansModel): String

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    Returns a concatenation of all reports from XKMeansReporting.

    Returns a concatenation of all reports from XKMeansReporting.

    returns

    report

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

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  19. final def notify(): Unit

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  20. final def notifyAll(): Unit

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  21. def summaryByClusterByFeaturesReport(implicit model: XKMeansModel): String

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    Returns a Markdown table report with org.apache.spark.ml.clustering.tupol.evaluation.ClusteringDistanceSummary#summaryByCluster statistics.

    Returns a Markdown table report with org.apache.spark.ml.clustering.tupol.evaluation.ClusteringDistanceSummary#summaryByCluster statistics.

    model

    XKMeansModel

    returns

    report

  22. def summaryByClusterReport(implicit model: XKMeansModel): String

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    Returns a Markdown table report with org.apache.spark.ml.clustering.tupol.evaluation.ClusteringDistanceSummary#summaryByCluster statistics.

    Returns a Markdown table report with org.apache.spark.ml.clustering.tupol.evaluation.ClusteringDistanceSummary#summaryByCluster statistics.

    model

    XKMeansModel

    returns

    report

  23. def summaryByModelByFeaturesReport(implicit model: XKMeansModel): String

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    Returns a Markdown table report with org.apache.spark.ml.clustering.tupol.evaluation.ClusteringDistanceSummary#summaryByCluster statistics.

    Returns a Markdown table report with org.apache.spark.ml.clustering.tupol.evaluation.ClusteringDistanceSummary#summaryByCluster statistics.

    model

    XKMeansModel

    returns

    report

  24. def summaryByModelReport(implicit model: XKMeansModel): String

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    Returns a Markdown table report with org.apache.spark.ml.clustering.tupol.evaluation.ClusteringDistanceSummary#summaryByModel statistics.

    Returns a Markdown table report with org.apache.spark.ml.clustering.tupol.evaluation.ClusteringDistanceSummary#summaryByModel statistics.

    model

    XKMeansModel

    returns

    report

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

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  26. def threeSigmaRuler(value: Double, mean: Double, sd: Double): String

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  27. def toString(): String

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  28. def vectorFeatureNamesReport(implicit model: XKMeansModel): String

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    Returns a Markdown table report of indexed feature names of the model.

    Returns a Markdown table report of indexed feature names of the model. Returns an empty table if the pipelineModel doesn't have any feature names.

    returns

    report

  29. final def wait(): Unit

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

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

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