Class/Object

com.microsoft.ml.spark

RankingAdapter

Related Docs: object RankingAdapter | package spark

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class RankingAdapter extends Estimator[RankingAdapterModel] with ComplexParamsWritable with RankingFunctions

Linear Supertypes
RankingFunctions, HasRecommenderCols, RankingParams, ComplexParamsWritable, MLWritable, Estimator[RankingAdapterModel], PipelineStage, org.apache.spark.internal.Logging, Params, Serializable, Serializable, Identifiable, AnyRef, Any
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Inherited
  1. RankingAdapter
  2. RankingFunctions
  3. HasRecommenderCols
  4. RankingParams
  5. ComplexParamsWritable
  6. MLWritable
  7. Estimator
  8. PipelineStage
  9. Logging
  10. Params
  11. Serializable
  12. Serializable
  13. Identifiable
  14. AnyRef
  15. Any
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Visibility
  1. Public
  2. All

Instance Constructors

  1. new RankingAdapter()

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  2. new RankingAdapter(uid: String)

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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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    Definition Classes
    AnyRef → Any

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

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    Attributes
    protected
    Definition Classes
    Params

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

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    Definition Classes
    AnyRef → Any

  5. final def asInstanceOf[T0]: T0

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    Definition Classes
    Any

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

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    Definition Classes
    Params

  7. def clone(): AnyRef

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

  8. def copy(extra: ParamMap): RankingAdapter

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    Definition Classes
    RankingAdapter → Estimator → PipelineStage → Params

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

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    Attributes
    protected
    Definition Classes
    Params

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

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    Attributes
    protected
    Definition Classes
    Params

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

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    Definition Classes
    AnyRef

  12. def equals(arg0: Any): Boolean

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    Definition Classes
    AnyRef → Any

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

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    Definition Classes
    Params

  14. def explainParams(): String

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    Definition Classes
    Params

  15. final def extractParamMap(): ParamMap

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    Definition Classes
    Params

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

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    Definition Classes
    Params

  17. def filterRatings(dataset: Dataset[_], itemCol: String, userCol: String): DataFrame

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    Definition Classes
    RankingFunctions

  18. def finalize(): Unit

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

  19. def fit(dataset: Dataset[_]): RankingAdapterModel

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    Definition Classes
    RankingAdapter → Estimator

  20. def fit(dataset: Dataset[_], paramMaps: Array[ParamMap]): Seq[RankingAdapterModel]

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    Definition Classes
    Estimator
    Annotations
    @Since( "2.0.0" )

  21. def fit(dataset: Dataset[_], paramMap: ParamMap): RankingAdapterModel

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    Definition Classes
    Estimator
    Annotations
    @Since( "2.0.0" )

  22. def fit(dataset: Dataset[_], firstParamPair: ParamPair[_], otherParamPairs: ParamPair[_]*): RankingAdapterModel

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    Definition Classes
    Estimator
    Annotations
    @Since( "2.0.0" ) @varargs()

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

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    Definition Classes
    Params

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

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    Definition Classes
    AnyRef → Any

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

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    Definition Classes
    Params

  26. def getItemCol: String

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    Definition Classes
    HasRecommenderCols

  27. def getK: Int

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  28. def getMinRatingsPerItem: Int

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    Definition Classes
    RankingParams

  29. def getMinRatingsPerUser: Int

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    Definition Classes
    RankingParams

  30. def getMode: String

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

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    Definition Classes
    Params

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

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    Definition Classes
    Params

  33. def getRatingCol: String

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    Definition Classes
    HasRecommenderCols

  34. def getRecommender: Estimator[_ <: Model[_]]

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  35. def getUserCol: String

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    Definition Classes
    HasRecommenderCols

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

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    Definition Classes
    Params

  37. def hasParam(paramName: String): Boolean

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    Definition Classes
    Params

  38. def hashCode(): Int

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    Definition Classes
    AnyRef → Any

  39. def initializeLogIfNecessary(isInterpreter: Boolean, silent: Boolean): Boolean

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    Attributes
    protected
    Definition Classes
    Logging

  40. def initializeLogIfNecessary(isInterpreter: Boolean): Unit

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    Attributes
    protected
    Definition Classes
    Logging

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

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    Definition Classes
    Params

  42. final def isInstanceOf[T0]: Boolean

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    Definition Classes
    Any

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

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    Definition Classes
    Params

  44. def isTraceEnabled(): Boolean

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    Attributes
    protected
    Definition Classes
    Logging

  45. val itemCol: Param[String]

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    Definition Classes
    HasRecommenderCols

  46. val k: IntParam

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  47. def log: Logger

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    Attributes
    protected
    Definition Classes
    Logging

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

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    Attributes
    protected
    Definition Classes
    Logging

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

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    Attributes
    protected
    Definition Classes
    Logging

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

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    Attributes
    protected
    Definition Classes
    Logging

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

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    Attributes
    protected
    Definition Classes
    Logging

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

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    Attributes
    protected
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    Logging

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

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    Attributes
    protected
    Definition Classes
    Logging

  54. def logName: String

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    Attributes
    protected
    Definition Classes
    Logging

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

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    Attributes
    protected
    Definition Classes
    Logging

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

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    Attributes
    protected
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    Logging

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

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    Attributes
    protected
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    Logging

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

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    Attributes
    protected
    Definition Classes
    Logging

  59. val minRatingsPerItem: IntParam

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    Definition Classes
    RankingParams

  60. val minRatingsPerUser: IntParam

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    Definition Classes
    RankingParams

  61. val mode: Param[String]

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

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    Definition Classes
    AnyRef

  63. final def notify(): Unit

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    Definition Classes
    AnyRef

  64. final def notifyAll(): Unit

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    Definition Classes
    AnyRef

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

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    Definition Classes
    Params

  66. def prepareTestData(validationDataset: DataFrame, recs: DataFrame, k: Int): Dataset[_]

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    Definition Classes
    RankingFunctions

  67. def prepareTestData(userColumn: String, itemColumn: String, validationDataset: DataFrame, recs: DataFrame, k: Int): Dataset[_]

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    Definition Classes
    RankingFunctions

  68. val ratingCol: Param[String]

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    Definition Classes
    HasRecommenderCols

  69. val recommender: EstimatorParam

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  70. def save(path: String): Unit

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    Definition Classes
    MLWritable
    Annotations
    @Since( "1.6.0" ) @throws( ... )

  71. final def set(paramPair: ParamPair[_]): RankingAdapter.this.type

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    Attributes
    protected
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    Params

  72. final def set(param: String, value: Any): RankingAdapter.this.type

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    Attributes
    protected
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    Params

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

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    Definition Classes
    Params

  74. final def setDefault(paramPairs: ParamPair[_]*): RankingAdapter.this.type

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    Attributes
    protected
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    Params

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

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    Attributes
    protected
    Definition Classes
    Params

  76. def setItemCol(value: String): RankingAdapter.this.type

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    Definition Classes
    HasRecommenderCols

  77. def setK(value: Int): RankingAdapter.this.type

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  78. def setMinRatingsPerItem(value: Int): RankingAdapter.this.type

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    Definition Classes
    RankingParams

  79. def setMinRatingsPerUser(value: Int): RankingAdapter.this.type

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    Definition Classes
    RankingParams

  80. def setMode(value: String): RankingAdapter.this.type

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  81. def setRatingCol(value: String): RankingAdapter.this.type

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    Definition Classes
    HasRecommenderCols

  82. def setRecommender(value: Estimator[_ <: Model[_]]): RankingAdapter.this.type

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  83. def setUserCol(value: String): RankingAdapter.this.type

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    Definition Classes
    HasRecommenderCols

  84. def split(dataframe: Dataset[_], trainRatio: Double, itemCol: String, userCol: String, ratingCol: String): (DataFrame, DataFrame)

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    Definition Classes
    RankingFunctions

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

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    Definition Classes
    AnyRef

  86. def toString(): String

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    Definition Classes
    Identifiable → AnyRef → Any

  87. def transformSchema(schema: StructType): StructType

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    Definition Classes
    RankingAdapter → PipelineStage

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

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    Attributes
    protected
    Definition Classes
    PipelineStage
    Annotations
    @DeveloperApi()

  89. val uid: String

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    Definition Classes
    RankingAdapter → Identifiable

  90. val userCol: Param[String]

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    Definition Classes
    HasRecommenderCols

  91. final def wait(): Unit

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

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

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

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

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

  94. def write: MLWriter

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    Definition Classes
    ComplexParamsWritable → MLWritable

Inherited from RankingFunctions

Inherited from HasRecommenderCols

Inherited from RankingParams

Inherited from ComplexParamsWritable

Inherited from MLWritable

Inherited from Estimator[RankingAdapterModel]

Inherited from PipelineStage

Inherited from org.apache.spark.internal.Logging

Inherited from Params

Inherited from Serializable

Inherited from Serializable

Inherited from Identifiable

Inherited from AnyRef

Inherited from Any

Parameter setters

Parameter getters

Members