Packages

c

org.apache.spark.ml

RankerModel

abstract class RankerModel[FeaturesType, M <: RankerModel[FeaturesType, M]] extends PredictionModel[FeaturesType, M] with PredictorParams

Model produced by a Ranker.

FeaturesType

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

M

Concrete Model type.

Linear Supertypes
PredictionModel[FeaturesType, M], PredictorParams, HasPredictionCol, HasFeaturesCol, HasLabelCol, Model[M], Transformer, PipelineStage, Logging, Params, Serializable, Serializable, Identifiable, AnyRef, Any
Known Subclasses
LightGBMRankerModel
Ordering
  1. Alphabetic
  2. By Inheritance
Inherited
  1. RankerModel
  2. PredictionModel
  3. PredictorParams
  4. HasPredictionCol
  5. HasFeaturesCol
  6. HasLabelCol
  7. Model
  8. Transformer
  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 RankerModel()

Abstract Value Members

  1. abstract def copy(extra: ParamMap): M
    Definition Classes
    Model → Transformer → PipelineStage → Params
  2. abstract def predict(features: FeaturesType): Double
    Definition Classes
    PredictionModel
    Annotations
    @Since( "2.4.0" )
  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[_]): RankerModel.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. final def extractParamMap(): ParamMap
    Definition Classes
    Params
  17. final def extractParamMap(extra: ParamMap): ParamMap
    Definition Classes
    Params
  18. final val featuresCol: Param[String]
    Definition Classes
    HasFeaturesCol
  19. def featuresDataType: DataType
    Attributes
    protected
    Definition Classes
    PredictionModel
  20. def finalize(): Unit
    Attributes
    protected[lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( classOf[java.lang.Throwable] )
  21. final def get[T](param: Param[T]): Option[T]
    Definition Classes
    Params
  22. final def getClass(): Class[_]
    Definition Classes
    AnyRef → Any
    Annotations
    @native()
  23. final def getDefault[T](param: Param[T]): Option[T]
    Definition Classes
    Params
  24. final def getFeaturesCol: String
    Definition Classes
    HasFeaturesCol
  25. final def getLabelCol: String
    Definition Classes
    HasLabelCol
  26. final def getOrDefault[T](param: Param[T]): T
    Definition Classes
    Params
  27. def getParam(paramName: String): Param[Any]
    Definition Classes
    Params
  28. final def getPredictionCol: String
    Definition Classes
    HasPredictionCol
  29. final def hasDefault[T](param: Param[T]): Boolean
    Definition Classes
    Params
  30. def hasParam(paramName: String): Boolean
    Definition Classes
    Params
  31. def hasParent: Boolean
    Definition Classes
    Model
  32. def hashCode(): Int
    Definition Classes
    AnyRef → Any
    Annotations
    @native()
  33. def initializeLogIfNecessary(isInterpreter: Boolean, silent: Boolean): Boolean
    Attributes
    protected
    Definition Classes
    Logging
  34. def initializeLogIfNecessary(isInterpreter: Boolean): Unit
    Attributes
    protected
    Definition Classes
    Logging
  35. final def isDefined(param: Param[_]): Boolean
    Definition Classes
    Params
  36. final def isInstanceOf[T0]: Boolean
    Definition Classes
    Any
  37. final def isSet(param: Param[_]): Boolean
    Definition Classes
    Params
  38. def isTraceEnabled(): Boolean
    Attributes
    protected
    Definition Classes
    Logging
  39. final val labelCol: Param[String]
    Definition Classes
    HasLabelCol
  40. def log: Logger
    Attributes
    protected
    Definition Classes
    Logging
  41. def logDebug(msg: ⇒ String, throwable: Throwable): Unit
    Attributes
    protected
    Definition Classes
    Logging
  42. def logDebug(msg: ⇒ String): Unit
    Attributes
    protected
    Definition Classes
    Logging
  43. def logError(msg: ⇒ String, throwable: Throwable): Unit
    Attributes
    protected
    Definition Classes
    Logging
  44. def logError(msg: ⇒ String): Unit
    Attributes
    protected
    Definition Classes
    Logging
  45. def logInfo(msg: ⇒ String, throwable: Throwable): Unit
    Attributes
    protected
    Definition Classes
    Logging
  46. def logInfo(msg: ⇒ String): Unit
    Attributes
    protected
    Definition Classes
    Logging
  47. def logName: String
    Attributes
    protected
    Definition Classes
    Logging
  48. def logTrace(msg: ⇒ String, throwable: Throwable): Unit
    Attributes
    protected
    Definition Classes
    Logging
  49. def logTrace(msg: ⇒ String): Unit
    Attributes
    protected
    Definition Classes
    Logging
  50. def logWarning(msg: ⇒ String, throwable: Throwable): Unit
    Attributes
    protected
    Definition Classes
    Logging
  51. def logWarning(msg: ⇒ String): Unit
    Attributes
    protected
    Definition Classes
    Logging
  52. final def ne(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  53. final def notify(): Unit
    Definition Classes
    AnyRef
    Annotations
    @native()
  54. final def notifyAll(): Unit
    Definition Classes
    AnyRef
    Annotations
    @native()
  55. def numFeatures: Int
    Definition Classes
    PredictionModel
    Annotations
    @Since( "1.6.0" )
  56. lazy val params: Array[Param[_]]
    Definition Classes
    Params
  57. var parent: Estimator[M]
    Definition Classes
    Model
  58. final val predictionCol: Param[String]
    Definition Classes
    HasPredictionCol
  59. final def set(paramPair: ParamPair[_]): RankerModel.this.type
    Attributes
    protected
    Definition Classes
    Params
  60. final def set(param: String, value: Any): RankerModel.this.type
    Attributes
    protected
    Definition Classes
    Params
  61. final def set[T](param: Param[T], value: T): RankerModel.this.type
    Definition Classes
    Params
  62. final def setDefault(paramPairs: ParamPair[_]*): RankerModel.this.type
    Attributes
    protected
    Definition Classes
    Params
  63. final def setDefault[T](param: Param[T], value: T): RankerModel.this.type
    Attributes
    protected
    Definition Classes
    Params
  64. def setFeaturesCol(value: String): M
    Definition Classes
    PredictionModel
  65. def setParent(parent: Estimator[M]): M
    Definition Classes
    Model
  66. def setPredictionCol(value: String): M
    Definition Classes
    PredictionModel
  67. final def synchronized[T0](arg0: ⇒ T0): T0
    Definition Classes
    AnyRef
  68. def toString(): String
    Definition Classes
    Identifiable → AnyRef → Any
  69. def transform(dataset: Dataset[_]): DataFrame
    Definition Classes
    PredictionModel → Transformer
  70. def transform(dataset: Dataset[_], paramMap: ParamMap): DataFrame
    Definition Classes
    Transformer
    Annotations
    @Since( "2.0.0" )
  71. def transform(dataset: Dataset[_], firstParamPair: ParamPair[_], otherParamPairs: ParamPair[_]*): DataFrame
    Definition Classes
    Transformer
    Annotations
    @Since( "2.0.0" ) @varargs()
  72. def transformImpl(dataset: Dataset[_]): DataFrame
    Attributes
    protected
    Definition Classes
    PredictionModel
  73. def transformSchema(schema: StructType): StructType
    Definition Classes
    PredictionModel → 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 PredictionModel[FeaturesType, M]

Inherited from PredictorParams

Inherited from HasPredictionCol

Inherited from HasFeaturesCol

Inherited from HasLabelCol

Inherited from Model[M]

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