Packages

class ConditionalKNN extends Estimator[ConditionalKNNModel] with ConditionalKNNParams with DefaultParamsWritable with OptimizedCKNNFitting with BasicLogging

Linear Supertypes
OptimizedCKNNFitting, BasicLogging, DefaultParamsWritable, MLWritable, ConditionalKNNParams, HasLabelCol, KNNParams, HasOutputCol, Wrappable, RWrappable, PythonWrappable, BaseWrappable, HasFeaturesCol, Estimator[ConditionalKNNModel], PipelineStage, Logging, Params, Serializable, Serializable, Identifiable, AnyRef, Any
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Inherited
  1. ConditionalKNN
  2. OptimizedCKNNFitting
  3. BasicLogging
  4. DefaultParamsWritable
  5. MLWritable
  6. ConditionalKNNParams
  7. HasLabelCol
  8. KNNParams
  9. HasOutputCol
  10. Wrappable
  11. RWrappable
  12. PythonWrappable
  13. BaseWrappable
  14. HasFeaturesCol
  15. Estimator
  16. PipelineStage
  17. Logging
  18. Params
  19. Serializable
  20. Serializable
  21. Identifiable
  22. AnyRef
  23. Any
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Visibility
  1. Public
  2. All

Instance Constructors

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

Value Members

  1. final def clear(param: Param[_]): ConditionalKNN.this.type
    Definition Classes
    Params
  2. val conditionerCol: Param[String]
    Definition Classes
    ConditionalKNNParams
  3. def copy(extra: ParamMap): Estimator[ConditionalKNNModel]
    Definition Classes
    ConditionalKNN → Estimator → PipelineStage → Params
  4. def explainParam(param: Param[_]): String
    Definition Classes
    Params
  5. def explainParams(): String
    Definition Classes
    Params
  6. final def extractParamMap(): ParamMap
    Definition Classes
    Params
  7. final def extractParamMap(extra: ParamMap): ParamMap
    Definition Classes
    Params
  8. val featuresCol: Param[String]

    The name of the features column

    The name of the features column

    Definition Classes
    HasFeaturesCol
  9. def fit(dataset: Dataset[_]): ConditionalKNNModel
    Definition Classes
    ConditionalKNN → Estimator
  10. def fit(dataset: Dataset[_], paramMaps: Seq[ParamMap]): Seq[ConditionalKNNModel]
    Definition Classes
    Estimator
    Annotations
    @Since( "2.0.0" )
  11. def fit(dataset: Dataset[_], paramMap: ParamMap): ConditionalKNNModel
    Definition Classes
    Estimator
    Annotations
    @Since( "2.0.0" )
  12. def fit(dataset: Dataset[_], firstParamPair: ParamPair[_], otherParamPairs: ParamPair[_]*): ConditionalKNNModel
    Definition Classes
    Estimator
    Annotations
    @Since( "2.0.0" ) @varargs()
  13. final def get[T](param: Param[T]): Option[T]
    Definition Classes
    Params
  14. def getConditionerCol: String
    Definition Classes
    ConditionalKNNParams
  15. final def getDefault[T](param: Param[T]): Option[T]
    Definition Classes
    Params
  16. def getFeaturesCol: String

    Definition Classes
    HasFeaturesCol
  17. def getK: Int
    Definition Classes
    KNNParams
  18. def getLabelCol: String

    Definition Classes
    HasLabelCol
  19. def getLeafSize: Int
    Definition Classes
    KNNParams
  20. final def getOrDefault[T](param: Param[T]): T
    Definition Classes
    Params
  21. def getOutputCol: String

    Definition Classes
    HasOutputCol
  22. def getParam(paramName: String): Param[Any]
    Definition Classes
    Params
  23. def getValuesCol: String
    Definition Classes
    KNNParams
  24. final def hasDefault[T](param: Param[T]): Boolean
    Definition Classes
    Params
  25. def hasParam(paramName: String): Boolean
    Definition Classes
    Params
  26. final def isDefined(param: Param[_]): Boolean
    Definition Classes
    Params
  27. final def isSet(param: Param[_]): Boolean
    Definition Classes
    Params
  28. val k: IntParam
    Definition Classes
    KNNParams
  29. val labelCol: Param[String]

    The name of the label column

    The name of the label column

    Definition Classes
    HasLabelCol
  30. val leafSize: IntParam
    Definition Classes
    KNNParams
  31. def logClass(): Unit
    Definition Classes
    BasicLogging
  32. def logFit[T](f: ⇒ T): T
    Definition Classes
    BasicLogging
  33. def logPredict[T](f: ⇒ T): T
    Definition Classes
    BasicLogging
  34. def logTrain[T](f: ⇒ T): T
    Definition Classes
    BasicLogging
  35. def logTransform[T](f: ⇒ T): T
    Definition Classes
    BasicLogging
  36. def logVerb[T](verb: String, f: ⇒ T): T
    Definition Classes
    BasicLogging
  37. def makePyFile(conf: CodegenConfig): Unit
    Definition Classes
    PythonWrappable
  38. def makeRFile(conf: CodegenConfig): Unit
    Definition Classes
    RWrappable
  39. val outputCol: Param[String]

    The name of the output column

    The name of the output column

    Definition Classes
    HasOutputCol
  40. lazy val params: Array[Param[_]]
    Definition Classes
    Params
  41. def pyAdditionalMethods: String
    Definition Classes
    PythonWrappable
  42. def pyInitFunc(): String
    Definition Classes
    PythonWrappable
  43. def save(path: String): Unit
    Definition Classes
    MLWritable
    Annotations
    @Since( "1.6.0" ) @throws( ... )
  44. final def set[T](param: Param[T], value: T): ConditionalKNN.this.type
    Definition Classes
    Params
  45. def setConditionerCol(v: String): ConditionalKNN.this.type
    Definition Classes
    ConditionalKNNParams
  46. def setFeaturesCol(value: String): ConditionalKNN.this.type

    Definition Classes
    HasFeaturesCol
  47. def setK(v: Int): ConditionalKNN.this.type
    Definition Classes
    KNNParams
  48. def setLabelCol(value: String): ConditionalKNN.this.type

    Definition Classes
    HasLabelCol
  49. def setLeafSize(v: Int): ConditionalKNN.this.type
    Definition Classes
    KNNParams
  50. def setOutputCol(value: String): ConditionalKNN.this.type

    Definition Classes
    HasOutputCol
  51. def setValuesCol(v: String): ConditionalKNN.this.type
    Definition Classes
    KNNParams
  52. def toString(): String
    Definition Classes
    Identifiable → AnyRef → Any
  53. def transformSchema(schema: StructType): StructType
    Definition Classes
    ConditionalKNN → PipelineStage
  54. val uid: String
    Definition Classes
    ConditionalKNN → BasicLogging → Identifiable
  55. val valuesCol: Param[String]
    Definition Classes
    KNNParams
  56. val ver: String
    Definition Classes
    BasicLogging
  57. def write: MLWriter
    Definition Classes
    DefaultParamsWritable → MLWritable