class RankingEvaluator extends Evaluator with RecEvaluatorParams with HasRecommenderCols with ComplexParamsWritable with SynapseMLLogging

Linear Supertypes
SynapseMLLogging, Logging, HasRecommenderCols, RecEvaluatorParams, ComplexParamsWritable, MLWritable, hasK, HasLabelCol, HasPredictionCol, Wrappable, DotnetWrappable, RWrappable, PythonWrappable, BaseWrappable, Evaluator, Params, Serializable, Serializable, Identifiable, AnyRef, Any
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Inherited
  1. RankingEvaluator
  2. SynapseMLLogging
  3. Logging
  4. HasRecommenderCols
  5. RecEvaluatorParams
  6. ComplexParamsWritable
  7. MLWritable
  8. hasK
  9. HasLabelCol
  10. HasPredictionCol
  11. Wrappable
  12. DotnetWrappable
  13. RWrappable
  14. PythonWrappable
  15. BaseWrappable
  16. Evaluator
  17. Params
  18. Serializable
  19. Serializable
  20. Identifiable
  21. AnyRef
  22. Any
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Visibility
  1. Public
  2. All

Instance Constructors

  1. new RankingEvaluator()
  2. new RankingEvaluator(uid: String)

Value Members

  1. final def clear(param: Param[_]): RankingEvaluator.this.type
    Definition Classes
    Params
  2. def copy(extra: ParamMap): RankingEvaluator
    Definition Classes
    RankingEvaluator → Evaluator → Params
  3. def dotnetAdditionalMethods: String
    Definition Classes
    DotnetWrappable
  4. def evaluate(dataset: Dataset[_]): Double
    Definition Classes
    RankingEvaluator → Evaluator
  5. def evaluate(dataset: Dataset[_], paramMap: ParamMap): Double
    Definition Classes
    Evaluator
    Annotations
    @Since( "2.0.0" )
  6. def explainParam(param: Param[_]): String
    Definition Classes
    Params
  7. def explainParams(): String
    Definition Classes
    Params
  8. final def extractParamMap(): ParamMap
    Definition Classes
    Params
  9. final def extractParamMap(extra: ParamMap): ParamMap
    Definition Classes
    Params
  10. final def get[T](param: Param[T]): Option[T]
    Definition Classes
    Params
  11. final def getDefault[T](param: Param[T]): Option[T]
    Definition Classes
    Params
  12. def getItemCol: String
    Definition Classes
    HasRecommenderCols
  13. def getK: Int

    Definition Classes
    hasK
  14. final def getLabelCol: String
    Definition Classes
    HasLabelCol
  15. def getMetricName: String

  16. def getMetrics(dataset: Dataset[_]): AdvancedRankingMetrics
  17. def getMetricsMap(dataset: Dataset[_]): Map[String, Double]
  18. def getNItems: Long
  19. final def getOrDefault[T](param: Param[T]): T
    Definition Classes
    Params
  20. def getParam(paramName: String): Param[Any]
    Definition Classes
    Params
  21. def getParamInfo(p: Param[_]): ParamInfo[_]
    Definition Classes
    BaseWrappable
  22. final def getPredictionCol: String
    Definition Classes
    HasPredictionCol
  23. def getRatingCol: String
    Definition Classes
    HasRecommenderCols
  24. def getUserCol: String
    Definition Classes
    HasRecommenderCols
  25. final def hasDefault[T](param: Param[T]): Boolean
    Definition Classes
    Params
  26. def hasParam(paramName: String): Boolean
    Definition Classes
    Params
  27. final def isDefined(param: Param[_]): Boolean
    Definition Classes
    Params
  28. def isLargerBetter: Boolean
    Definition Classes
    Evaluator
    Annotations
    @Since( "1.5.0" )
  29. final def isSet(param: Param[_]): Boolean
    Definition Classes
    Params
  30. val itemCol: Param[String]
    Definition Classes
    HasRecommenderCols
  31. val k: IntParam
    Definition Classes
    hasK
  32. final val labelCol: Param[String]
    Definition Classes
    HasLabelCol
  33. def logClass(featureName: String): Unit
    Definition Classes
    SynapseMLLogging
  34. def logFit[T](f: ⇒ T, columns: Int): T
    Definition Classes
    SynapseMLLogging
  35. def logTransform[T](f: ⇒ T, columns: Int): T
    Definition Classes
    SynapseMLLogging
  36. def logVerb[T](verb: String, f: ⇒ T, columns: Option[Int] = None): T
    Definition Classes
    SynapseMLLogging
  37. def makeDotnetFile(conf: CodegenConfig): Unit
    Definition Classes
    DotnetWrappable
  38. def makePyFile(conf: CodegenConfig): Unit
    Definition Classes
    PythonWrappable
  39. def makeRFile(conf: CodegenConfig): Unit
    Definition Classes
    RWrappable
  40. val metricName: Param[String]
  41. val nItems: LongParam
  42. lazy val params: Array[Param[_]]
    Definition Classes
    Params
  43. final val predictionCol: Param[String]
    Definition Classes
    HasPredictionCol
  44. def pyAdditionalMethods: String
    Definition Classes
    PythonWrappable
  45. def pyInitFunc(): String
    Definition Classes
    PythonWrappable
  46. val ratingCol: Param[String]
    Definition Classes
    HasRecommenderCols
  47. def save(path: String): Unit
    Definition Classes
    MLWritable
    Annotations
    @Since( "1.6.0" ) @throws( ... )
  48. final def set[T](param: Param[T], value: T): RankingEvaluator.this.type
    Definition Classes
    Params
  49. def setItemCol(value: String): RankingEvaluator.this.type

    Definition Classes
    HasRecommenderCols
  50. def setK(value: Int): RankingEvaluator.this.type

    Definition Classes
    hasK
  51. def setLabelCol(value: String): RankingEvaluator.this.type

  52. def setMetricName(value: String): RankingEvaluator.this.type

  53. def setNItems(value: Long): RankingEvaluator.this.type
  54. def setPredictionCol(value: String): RankingEvaluator.this.type

  55. def setRatingCol(value: String): RankingEvaluator.this.type

    Definition Classes
    HasRecommenderCols
  56. def setUserCol(value: String): RankingEvaluator.this.type

    Definition Classes
    HasRecommenderCols
  57. def toString(): String
    Definition Classes
    Identifiable → AnyRef → Any
  58. val uid: String
    Definition Classes
    RankingEvaluator → SynapseMLLogging → Identifiable
  59. val userCol: Param[String]
    Definition Classes
    HasRecommenderCols
  60. def write: MLWriter
    Definition Classes
    ComplexParamsWritable → MLWritable