KNN

Value Members

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

   

   Definition Classes

   AnyRef → Any

2. final def ##(): Int

   

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

   

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

   

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5. final def asInstanceOf[T0]: T0

   

   Definition Classes

   Any

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

   

   Definition Classes

   Params

7. def clone(): AnyRef

   

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   protected[java.lang]

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   @throws( ... )

8. def copy(extra: ParamMap): KNN

   

   Definition Classes

   KNN → Params

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

   

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

    

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

    

    Definition Classes

    AnyRef

12. def equals(arg0: Any): Boolean

    

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

    

    Definition Classes

    Params

14. def explainParams(): String

    

    Definition Classes

    Params

15. final def extractParamMap(): ParamMap

    

    Definition Classes

    Params

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

    

    Definition Classes

    Params

17. final val filterUserItems: BooleanParam

    

    Whether the items of a user should be filtered from the recommendations for the user Default: false

    Whether the items of a user should be filtered from the recommendations for the user Default: false

    Definition Classes

    KNNParams

18. def finalize(): Unit

    

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    protected[java.lang]

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

    

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

    

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

    

    Definition Classes

    Params

22. def getFilterUserItems: Boolean

    
    Definition Classes

    KNNParams

23. def getItemCol: String

    
    Definition Classes

    KNNParams

24. def getK: Int

    
    Definition Classes

    KNNParams

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

    

    Definition Classes

    Params

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

    

    Definition Classes

    Params

27. final def getPredictionCol: String

    

    Definition Classes

    HasPredictionCol

28. def getUserCol: String

    
    Definition Classes

    KNNParams

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

    

    Definition Classes

    Params

30. def hasParam(paramName: String): Boolean

    

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31. def hashCode(): Int

    

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

    

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33. final def isInstanceOf[T0]: Boolean

    

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    Any

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

    

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35. final val itemCol: Param[String]

    

    The name of the item id column of integers from 0 to number of items in training dataset Default: "itemid"

    The name of the item id column of integers from 0 to number of items in training dataset Default: "itemid"

    Definition Classes

    KNNParams

36. final val k: IntParam

    

    The number of nearest neighbours Default: 150

    The number of nearest neighbours Default: 150

    Definition Classes

    KNNParams

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

    

    Definition Classes

    AnyRef

38. final def notify(): Unit

    

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39. final def notifyAll(): Unit

    

    Definition Classes

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

    

    Definition Classes

    Params

41. final val predictionCol: Param[String]

    

    Definition Classes

    HasPredictionCol

42. def recommendForUserSubset(queryDataset: Dataset[_], fitDataset: Dataset[_], numItems: Int): DataFrame

    

    Returns top numItems items recommended for each user id in the input data set

    Returns top numItems items recommended for each user id in the input data set

    queryDataset

    The dataset containing a column of user ids. The column name must match userCol

    fitDataset

    The dataset of neighbours, containing a column of user ids and a column of item ids

    numItems

    The maximum number of recommendations for each user

    returns

    A dataframe of (userCol: Int, recommendations), where recommendations are stored as an array of (score: Float, itemCol: Int) rows. Or if exploded a dataframe of (userCol: Int, score: Float, itemCol: Int) rows.

43. def recommendFromNearestUsers(queryDf: DataFrame, nnDf: DataFrame, numItems: Int): DataFrame

    

    Definition Classes

    KNNRecommender

44. final def set(paramPair: ParamPair[_]): KNN.this.type

    

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45. final def set(param: String, value: Any): KNN.this.type

    

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

    

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47. final def setDefault(paramPairs: ParamPair[_]*): KNN.this.type

    

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

    

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49. def setFilterUserItems(value: Boolean): KNN.this.type

    
    Definition Classes

    KNNRecommender

50. def setK(value: Int): KNN.this.type

    
    Definition Classes

    KNNRecommender

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

    

    Definition Classes

    AnyRef

52. def toString(): String

    

    Definition Classes

    Identifiable → AnyRef → Any

53. val uid: String

    

    Definition Classes

    KNN → Identifiable

54. final val userCol: Param[String]

    

    The name of the user id column of integers Default: "userid"

    The name of the user id column of integers Default: "userid"

    Definition Classes

    KNNParams

55. final def wait(): Unit

    

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

    

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

    

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    @throws( ... )