Packages

abstract class Ranker[FeaturesType, Learner <: Ranker[FeaturesType, Learner, M], M <: RankerModel[FeaturesType, M]] extends Predictor[FeaturesType, Learner, M] with PredictorParams with HasGroupCol

Ranker base class

FeaturesType

Type of input features. E.g., org.apache.spark.mllib.linalg.Vector

Learner

Concrete Estimator type

M

Concrete Model type

Linear Supertypes
HasGroupCol, Predictor[FeaturesType, Learner, M], PredictorParams, HasPredictionCol, HasFeaturesCol, HasLabelCol, Estimator[M], PipelineStage, Logging, Params, Serializable, Serializable, Identifiable, AnyRef, Any
Known Subclasses
LightGBMRanker
Ordering
  1. Alphabetic
  2. By Inheritance
Inherited
  1. Ranker
  2. HasGroupCol
  3. Predictor
  4. PredictorParams
  5. HasPredictionCol
  6. HasFeaturesCol
  7. HasLabelCol
  8. Estimator
  9. PipelineStage
  10. Logging
  11. Params
  12. Serializable
  13. Serializable
  14. Identifiable
  15. AnyRef
  16. Any
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Visibility
  1. Public
  2. All

Instance Constructors

  1. new Ranker()

Abstract Value Members

  1. abstract def copy(extra: ParamMap): Learner
    Definition Classes
    Predictor → Estimator → PipelineStage → Params
  2. abstract def train(dataset: Dataset[_]): M
    Attributes
    protected
    Definition Classes
    Predictor
  3. abstract val uid: String
    Definition Classes
    Identifiable

Concrete Value Members

  1. final def !=(arg0: Any): Boolean
    Definition Classes
    AnyRef → Any
  2. final def ##(): Int
    Definition Classes
    AnyRef → Any
  3. final def $[T](param: Param[T]): T
    Attributes
    protected
    Definition Classes
    Params
  4. final def ==(arg0: Any): Boolean
    Definition Classes
    AnyRef → Any
  5. final def asInstanceOf[T0]: T0
    Definition Classes
    Any
  6. final def clear(param: Param[_]): Ranker.this.type
    Definition Classes
    Params
  7. def clone(): AnyRef
    Attributes
    protected[lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( ... ) @native()
  8. def copyValues[T <: Params](to: T, extra: ParamMap): T
    Attributes
    protected
    Definition Classes
    Params
  9. final def defaultCopy[T <: Params](extra: ParamMap): T
    Attributes
    protected
    Definition Classes
    Params
  10. final def eq(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  11. def equals(arg0: Any): Boolean
    Definition Classes
    AnyRef → Any
  12. def explainParam(param: Param[_]): String
    Definition Classes
    Params
  13. def explainParams(): String
    Definition Classes
    Params
  14. def extractInstances(dataset: Dataset[_], validateInstance: (Instance) ⇒ Unit): RDD[Instance]
    Attributes
    protected
    Definition Classes
    PredictorParams
  15. def extractInstances(dataset: Dataset[_]): RDD[Instance]
    Attributes
    protected
    Definition Classes
    PredictorParams
  16. def extractLabeledPoints(dataset: Dataset[_]): RDD[LabeledPoint]
    Attributes
    protected
    Definition Classes
    Predictor
  17. final def extractParamMap(): ParamMap
    Definition Classes
    Params
  18. final def extractParamMap(extra: ParamMap): ParamMap
    Definition Classes
    Params
  19. final val featuresCol: Param[String]
    Definition Classes
    HasFeaturesCol
  20. def finalize(): Unit
    Attributes
    protected[lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( classOf[java.lang.Throwable] )
  21. def fit(dataset: Dataset[_]): M
    Definition Classes
    Predictor → Estimator
  22. def fit(dataset: Dataset[_], paramMaps: Seq[ParamMap]): Seq[M]
    Definition Classes
    Estimator
    Annotations
    @Since( "2.0.0" )
  23. def fit(dataset: Dataset[_], paramMap: ParamMap): M
    Definition Classes
    Estimator
    Annotations
    @Since( "2.0.0" )
  24. def fit(dataset: Dataset[_], firstParamPair: ParamPair[_], otherParamPairs: ParamPair[_]*): M
    Definition Classes
    Estimator
    Annotations
    @Since( "2.0.0" ) @varargs()
  25. final def get[T](param: Param[T]): Option[T]
    Definition Classes
    Params
  26. final def getClass(): Class[_]
    Definition Classes
    AnyRef → Any
    Annotations
    @native()
  27. final def getDefault[T](param: Param[T]): Option[T]
    Definition Classes
    Params
  28. final def getFeaturesCol: String
    Definition Classes
    HasFeaturesCol
  29. def getGroupCol: String

    Definition Classes
    HasGroupCol
  30. final def getLabelCol: String
    Definition Classes
    HasLabelCol
  31. final def getOrDefault[T](param: Param[T]): T
    Definition Classes
    Params
  32. def getParam(paramName: String): Param[Any]
    Definition Classes
    Params
  33. final def getPredictionCol: String
    Definition Classes
    HasPredictionCol
  34. val groupCol: Param[String]

    The name of the group column

    The name of the group column

    Definition Classes
    HasGroupCol
  35. final def hasDefault[T](param: Param[T]): Boolean
    Definition Classes
    Params
  36. def hasParam(paramName: String): Boolean
    Definition Classes
    Params
  37. def hashCode(): Int
    Definition Classes
    AnyRef → Any
    Annotations
    @native()
  38. def initializeLogIfNecessary(isInterpreter: Boolean, silent: Boolean): Boolean
    Attributes
    protected
    Definition Classes
    Logging
  39. def initializeLogIfNecessary(isInterpreter: Boolean): Unit
    Attributes
    protected
    Definition Classes
    Logging
  40. final def isDefined(param: Param[_]): Boolean
    Definition Classes
    Params
  41. final def isInstanceOf[T0]: Boolean
    Definition Classes
    Any
  42. final def isSet(param: Param[_]): Boolean
    Definition Classes
    Params
  43. def isTraceEnabled(): Boolean
    Attributes
    protected
    Definition Classes
    Logging
  44. final val labelCol: Param[String]
    Definition Classes
    HasLabelCol
  45. def log: Logger
    Attributes
    protected
    Definition Classes
    Logging
  46. def logDebug(msg: ⇒ String, throwable: Throwable): Unit
    Attributes
    protected
    Definition Classes
    Logging
  47. def logDebug(msg: ⇒ String): Unit
    Attributes
    protected
    Definition Classes
    Logging
  48. def logError(msg: ⇒ String, throwable: Throwable): Unit
    Attributes
    protected
    Definition Classes
    Logging
  49. def logError(msg: ⇒ String): Unit
    Attributes
    protected
    Definition Classes
    Logging
  50. def logInfo(msg: ⇒ String, throwable: Throwable): Unit
    Attributes
    protected
    Definition Classes
    Logging
  51. def logInfo(msg: ⇒ String): Unit
    Attributes
    protected
    Definition Classes
    Logging
  52. def logName: String
    Attributes
    protected
    Definition Classes
    Logging
  53. def logTrace(msg: ⇒ String, throwable: Throwable): Unit
    Attributes
    protected
    Definition Classes
    Logging
  54. def logTrace(msg: ⇒ String): Unit
    Attributes
    protected
    Definition Classes
    Logging
  55. def logWarning(msg: ⇒ String, throwable: Throwable): Unit
    Attributes
    protected
    Definition Classes
    Logging
  56. def logWarning(msg: ⇒ String): Unit
    Attributes
    protected
    Definition Classes
    Logging
  57. final def ne(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  58. final def notify(): Unit
    Definition Classes
    AnyRef
    Annotations
    @native()
  59. final def notifyAll(): Unit
    Definition Classes
    AnyRef
    Annotations
    @native()
  60. lazy val params: Array[Param[_]]
    Definition Classes
    Params
  61. final val predictionCol: Param[String]
    Definition Classes
    HasPredictionCol
  62. final def set(paramPair: ParamPair[_]): Ranker.this.type
    Attributes
    protected
    Definition Classes
    Params
  63. final def set(param: String, value: Any): Ranker.this.type
    Attributes
    protected
    Definition Classes
    Params
  64. final def set[T](param: Param[T], value: T): Ranker.this.type
    Definition Classes
    Params
  65. final def setDefault(paramPairs: ParamPair[_]*): Ranker.this.type
    Attributes
    protected
    Definition Classes
    Params
  66. final def setDefault[T](param: Param[T], value: T): Ranker.this.type
    Attributes
    protected
    Definition Classes
    Params
  67. def setFeaturesCol(value: String): Learner
    Definition Classes
    Predictor
  68. def setGroupCol(value: String): Ranker.this.type

    Definition Classes
    HasGroupCol
  69. def setLabelCol(value: String): Learner
    Definition Classes
    Predictor
  70. def setPredictionCol(value: String): Learner
    Definition Classes
    Predictor
  71. final def synchronized[T0](arg0: ⇒ T0): T0
    Definition Classes
    AnyRef
  72. def toString(): String
    Definition Classes
    Identifiable → AnyRef → Any
  73. def transformSchema(schema: StructType): StructType
    Definition Classes
    Predictor → PipelineStage
  74. def transformSchema(schema: StructType, logging: Boolean): StructType
    Attributes
    protected
    Definition Classes
    PipelineStage
    Annotations
    @DeveloperApi()
  75. def validateAndTransformSchema(schema: StructType, fitting: Boolean, featuresDataType: DataType): StructType
    Attributes
    protected
    Definition Classes
    PredictorParams
  76. final def wait(): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  77. final def wait(arg0: Long, arg1: Int): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  78. final def wait(arg0: Long): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... ) @native()

Inherited from HasGroupCol

Inherited from Predictor[FeaturesType, Learner, M]

Inherited from PredictorParams

Inherited from HasPredictionCol

Inherited from HasFeaturesCol

Inherited from HasLabelCol

Inherited from Estimator[M]

Inherited from PipelineStage

Inherited from Logging

Inherited from Params

Inherited from Serializable

Inherited from Serializable

Inherited from Identifiable

Inherited from AnyRef

Inherited from Any

getParam

param

setParam

Ungrouped