Class/Object

org.apache.spark.ml.odkl

PartitionedRankingEvaluator

Related Docs: object PartitionedRankingEvaluator | package odkl

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class PartitionedRankingEvaluator extends Evaluator[PartitionedRankingEvaluator] with HasOutputCol with HasGroupByColumns

Evaluator used to compute metrics for predictions grouped by a certain criteria (typically by a user id). Materializes all the predictions for a criteria in memory and calculates multiple metrics. Can be used only for fine-grained grouping criteria. Supports mutli-label and multi-score cross evaluation (computes metrics for each label-score combinations if provided with vectors instead of scalars).

Linear Supertypes
HasGroupByColumns, HasOutputCol, Evaluator[PartitionedRankingEvaluator], HasPredictionCol, HasLabelCol, Transformer, PipelineStage, Logging, Params, Serializable, Serializable, Identifiable, AnyRef, Any
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Inherited
  1. PartitionedRankingEvaluator
  2. HasGroupByColumns
  3. HasOutputCol
  4. Evaluator
  5. HasPredictionCol
  6. HasLabelCol
  7. Transformer
  8. PipelineStage
  9. Logging
  10. Params
  11. Serializable
  12. Serializable
  13. Identifiable
  14. AnyRef
  15. Any
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Visibility
  1. Public
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Instance Constructors

  1. new PartitionedRankingEvaluator()

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Value Members

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

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    Definition Classes
    AnyRef → Any

  2. final def ##(): Int

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    AnyRef → Any

  3. final def $[T](param: Param[T]): T

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    Params

  4. final def ==(arg0: Any): Boolean

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  5. final def asInstanceOf[T0]: T0

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    Any

  6. final def clear(param: Param[_]): PartitionedRankingEvaluator.this.type

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    Definition Classes
    Params

  7. def clone(): AnyRef

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    protected[java.lang]
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    AnyRef
    Annotations
    @throws( ... )

  8. def constructMetadata(indexedMetrics: IndexedSeq[Metric]): Metadata

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  9. def copy(extra: ParamMap): PartitionedRankingEvaluator

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    Definition Classes
    PartitionedRankingEvaluator → Evaluator → Transformer → PipelineStage → Params

  10. def copyValues[T <: Params](to: T, extra: ParamMap): T

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    Attributes
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    Params

  11. final def defaultCopy[T <: Params](extra: ParamMap): T

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    Params

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

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    Definition Classes
    AnyRef

  13. def equals(arg0: Any): Boolean

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    Definition Classes
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  14. def explainParam(param: Param[_]): String

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    Definition Classes
    Params

  15. def explainParams(): String

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    Definition Classes
    Params

  16. val extraColumns: StringArrayParam

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  17. final def extractParamMap(): ParamMap

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    Definition Classes
    Params

  18. final def extractParamMap(extra: ParamMap): ParamMap

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    Params

  19. def finalize(): Unit

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    protected[java.lang]
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    @throws( classOf[java.lang.Throwable] )

  20. final def get[T](param: Param[T]): Option[T]

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

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  22. final def getDefault[T](param: Param[T]): Option[T]

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    Definition Classes
    Params

  23. final def getLabelCol: String

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    Definition Classes
    HasLabelCol

  24. final def getOrDefault[T](param: Param[T]): T

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    Definition Classes
    Params

  25. final def getOutputCol: String

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    Definition Classes
    HasOutputCol

  26. def getParam(paramName: String): Param[Any]

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    Definition Classes
    Params

  27. final def getPredictionCol: String

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    Definition Classes
    HasPredictionCol

  28. final val groupByColumns: StringArrayParam

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    Definition Classes
    HasGroupByColumns

  29. final def hasDefault[T](param: Param[T]): Boolean

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    Params

  30. def hasParam(paramName: String): Boolean

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  31. def hashCode(): Int

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  32. final def isDefined(param: Param[_]): Boolean

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  33. final def isInstanceOf[T0]: Boolean

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  34. final def isSet(param: Param[_]): Boolean

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  35. def isTraceEnabled(): Boolean

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    protected
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    Logging

  36. final val labelCol: Param[String]

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    Definition Classes
    HasLabelCol

  37. val labelIndexColumnParam: Param[String]

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  38. val labelThreshold: DoubleParam

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  39. def log: Logger

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    Attributes
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    Logging

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

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    Logging

  41. def logDebug(msg: ⇒ String): Unit

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    Logging

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

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    Logging

  43. def logError(msg: ⇒ String): Unit

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    Logging

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

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    Logging

  45. def logInfo(msg: ⇒ String): Unit

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    Logging

  46. def logName: String

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    Logging

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

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    Logging

  48. def logTrace(msg: ⇒ String): Unit

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    Logging

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

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    Logging

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

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    Logging

  51. val metrics: Param[Seq[Metric]]

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  52. val modelThreshold: DoubleParam

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

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  54. final def notify(): Unit

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    AnyRef

  55. final def notifyAll(): Unit

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    AnyRef

  56. final val outputCol: Param[String]

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    Definition Classes
    HasOutputCol

  57. lazy val params: Array[Param[_]]

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    Definition Classes
    Params

  58. final val predictionCol: Param[String]

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    Definition Classes
    HasPredictionCol

  59. val scoreIndexColumnParam: Param[String]

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  60. final def set(paramPair: ParamPair[_]): PartitionedRankingEvaluator.this.type

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  61. final def set(param: String, value: Any): PartitionedRankingEvaluator.this.type

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  62. final def set[T](param: Param[T], value: T): PartitionedRankingEvaluator.this.type

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  63. final def setDefault(paramPairs: ParamPair[_]*): PartitionedRankingEvaluator.this.type

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    Params

  64. final def setDefault[T](param: Param[T], value: T): PartitionedRankingEvaluator.this.type

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    Params

  65. def setExtraColumns(column: String*): PartitionedRankingEvaluator.this.type

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  66. def setGroupByColumns(columns: String*): PartitionedRankingEvaluator.this.type

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    Definition Classes
    HasGroupByColumns

  67. def setLabelColumn(value: String): PartitionedRankingEvaluator.this.type

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    Definition Classes
    Evaluator

  68. def setLabelNameCol(column: String): PartitionedRankingEvaluator.this.type

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  69. def setLabelThreshold(value: Double): PartitionedRankingEvaluator.this.type

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  70. def setMetrics(metric: Metric*): PartitionedRankingEvaluator.this.type

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  71. def setModelThreshold(value: Double): PartitionedRankingEvaluator.this.type

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  72. def setOutputCol(column: String): PartitionedRankingEvaluator.this.type

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  73. def setPredictionColumn(value: String): PartitionedRankingEvaluator.this.type

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    Definition Classes
    Evaluator

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

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    Definition Classes
    AnyRef

  75. def toString(): String

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    Definition Classes
    Identifiable → AnyRef → Any

  76. def transform(dataset: DataFrame): DataFrame

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    Definition Classes
    PartitionedRankingEvaluator → Transformer

  77. def transform(dataset: DataFrame, paramMap: ParamMap): DataFrame

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    Definition Classes
    Transformer

  78. def transform(dataset: DataFrame, firstParamPair: ParamPair[_], otherParamPairs: ParamPair[_]*): DataFrame

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    Definition Classes
    Transformer
    Annotations
    @varargs()

  79. def transformSchema(schema: StructType): StructType

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    Definition Classes
    PartitionedRankingEvaluator → PipelineStage

  80. def transformSchema(schema: StructType, logging: Boolean): StructType

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    PipelineStage
    Annotations
    @DeveloperApi()

  81. val uid: String

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    Definition Classes
    Evaluator → Identifiable

  82. def validateParams(): Unit

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  83. final def wait(): Unit

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    @throws( ... )

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

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    @throws( ... )

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

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    @throws( ... )

Inherited from HasGroupByColumns

Inherited from HasOutputCol

Inherited from Evaluator[PartitionedRankingEvaluator]

Inherited from HasPredictionCol

Inherited from HasLabelCol

Inherited from Transformer

Inherited from PipelineStage

Inherited from Logging

Inherited from Params

Inherited from Serializable

Inherited from Serializable

Inherited from Identifiable

Inherited from AnyRef

Inherited from Any

Ungrouped