org.apache.spark.ml.odkl

PartitionedRankingEvaluator

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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Instance Constructors

  1. new PartitionedRankingEvaluator()

Value Members

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

    Definition Classes
    AnyRef

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

    Definition Classes
    Any

  3. final def ##(): Int

    Definition Classes
    AnyRef → Any

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

    Attributes
    protected
    Definition Classes
    Params

  5. final def ==(arg0: AnyRef): Boolean

    Definition Classes
    AnyRef

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

    Definition Classes
    Any

  7. final def asInstanceOf[T0]: T0

    Definition Classes
    Any

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

    Definition Classes
    Params

  9. def clone(): AnyRef

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

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

  11. def copy(extra: ParamMap): PartitionedRankingEvaluator

    Definition Classes
    PartitionedRankingEvaluator → Evaluator → Transformer → PipelineStage → Params

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

    Attributes
    protected
    Definition Classes
    Params

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

    Attributes
    protected
    Definition Classes
    Params

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

    Definition Classes
    AnyRef

  15. def equals(arg0: Any): Boolean

    Definition Classes
    AnyRef → Any

  16. def explainParam(param: Param[_]): String

    Definition Classes
    Params

  17. def explainParams(): String

    Definition Classes
    Params

  18. val extraColumns: StringArrayParam

  19. final def extractParamMap(): ParamMap

    Definition Classes
    Params

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

    Definition Classes
    Params

  21. def finalize(): Unit

    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( classOf[java.lang.Throwable] )

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

    Definition Classes
    Params

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

    Definition Classes
    AnyRef → Any

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

    Definition Classes
    Params

  25. final def getLabelCol: String

    Definition Classes
    HasLabelCol

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

    Definition Classes
    Params

  27. final def getOutputCol: String

    Definition Classes
    HasOutputCol

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

    Definition Classes
    Params

  29. final def getPredictionCol: String

    Definition Classes
    HasPredictionCol

  30. final val groupByColumns: StringArrayParam

    Definition Classes
    HasGroupByColumns

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

    Definition Classes
    Params

  32. def hasParam(paramName: String): Boolean

    Definition Classes
    Params

  33. def hashCode(): Int

    Definition Classes
    AnyRef → Any

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

    Definition Classes
    Params

  35. final def isInstanceOf[T0]: Boolean

    Definition Classes
    Any

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

    Definition Classes
    Params

  37. def isTraceEnabled(): Boolean

    Attributes
    protected
    Definition Classes
    Logging

  38. final val labelCol: Param[String]

    Definition Classes
    HasLabelCol

  39. val labelIndexColumnParam: Param[String]

  40. val labelThreshold: DoubleParam

  41. def log: Logger

    Attributes
    protected
    Definition Classes
    Logging

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

    Attributes
    protected
    Definition Classes
    Logging

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

    Attributes
    protected
    Definition Classes
    Logging

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

    Attributes
    protected
    Definition Classes
    Logging

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

    Attributes
    protected
    Definition Classes
    Logging

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

    Attributes
    protected
    Definition Classes
    Logging

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

    Attributes
    protected
    Definition Classes
    Logging

  48. def logName: String

    Attributes
    protected
    Definition Classes
    Logging

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

    Attributes
    protected
    Definition Classes
    Logging

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

    Attributes
    protected
    Definition Classes
    Logging

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

    Attributes
    protected
    Definition Classes
    Logging

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

    Attributes
    protected
    Definition Classes
    Logging

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

  54. val modelThreshold: DoubleParam

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

    Definition Classes
    AnyRef

  56. final def notify(): Unit

    Definition Classes
    AnyRef

  57. final def notifyAll(): Unit

    Definition Classes
    AnyRef

  58. final val outputCol: Param[String]

    Definition Classes
    HasOutputCol

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

    Definition Classes
    Params

  60. final val predictionCol: Param[String]

    Definition Classes
    HasPredictionCol

  61. val scoreIndexColumnParam: Param[String]

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

    Attributes
    protected
    Definition Classes
    Params

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

    Attributes
    protected
    Definition Classes
    Params

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

    Definition Classes
    Params

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

    Attributes
    protected
    Definition Classes
    Params

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

    Attributes
    protected
    Definition Classes
    Params

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

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

    Definition Classes
    HasGroupByColumns

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

    Definition Classes
    Evaluator

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

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

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

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

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

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

    Definition Classes
    Evaluator

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

    Definition Classes
    AnyRef

  77. def toString(): String

    Definition Classes
    Identifiable → AnyRef → Any

  78. def transform(dataset: DataFrame): DataFrame

    Definition Classes
    PartitionedRankingEvaluator → Transformer

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

    Definition Classes
    Transformer

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

    Definition Classes
    Transformer
    Annotations
    @varargs()

  81. def transformSchema(schema: StructType): StructType

    Definition Classes
    PartitionedRankingEvaluator → PipelineStage

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

    Attributes
    protected
    Definition Classes
    PipelineStage
    Annotations
    @DeveloperApi()

  83. val uid: String

    Definition Classes
    Evaluator → Identifiable

  84. def validateParams(): Unit

    Definition Classes
    Params

  85. final def wait(): Unit

    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

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

    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

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

    Definition Classes
    AnyRef
    Annotations
    @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