Packages

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

Linear Supertypes
OptimizedCKNNFitting, SynapseMLLogging, DefaultParamsWritable, MLWritable, ConditionalKNNParams, HasLabelCol, KNNParams, HasOutputCol, Wrappable, DotnetWrappable, RWrappable, PythonWrappable, BaseWrappable, HasFeaturesCol, Estimator[ConditionalKNNModel], PipelineStage, Logging, Params, Serializable, Serializable, Identifiable, AnyRef, Any
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Inherited
  1. ConditionalKNN
  2. OptimizedCKNNFitting
  3. SynapseMLLogging
  4. DefaultParamsWritable
  5. MLWritable
  6. ConditionalKNNParams
  7. HasLabelCol
  8. KNNParams
  9. HasOutputCol
  10. Wrappable
  11. DotnetWrappable
  12. RWrappable
  13. PythonWrappable
  14. BaseWrappable
  15. HasFeaturesCol
  16. Estimator
  17. PipelineStage
  18. Logging
  19. Params
  20. Serializable
  21. Serializable
  22. Identifiable
  23. AnyRef
  24. 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 dotnetAdditionalMethods: String
    Definition Classes
    DotnetWrappable
  5. def explainParam(param: Param[_]): String
    Definition Classes
    Params
  6. def explainParams(): String
    Definition Classes
    Params
  7. final def extractParamMap(): ParamMap
    Definition Classes
    Params
  8. final def extractParamMap(extra: ParamMap): ParamMap
    Definition Classes
    Params
  9. val featuresCol: Param[String]

    The name of the features column

    The name of the features column

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

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

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

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

    The name of the label column

    The name of the label column

    Definition Classes
    HasLabelCol
  32. val leafSize: IntParam
    Definition Classes
    KNNParams
  33. def logClass(featureName: String): Unit
    Definition Classes
    SynapseMLLogging
  34. def logFit[T](f: ⇒ T, columns: Int): T
    Definition Classes
    SynapseMLLogging
  35. def logTransform[T](f: ⇒ T, columns: Int): T
    Definition Classes
    SynapseMLLogging
  36. def logVerb[T](verb: String, f: ⇒ T, columns: Option[Int] = None): T
    Definition Classes
    SynapseMLLogging
  37. def makeDotnetFile(conf: CodegenConfig): Unit
    Definition Classes
    DotnetWrappable
  38. def makePyFile(conf: CodegenConfig): Unit
    Definition Classes
    PythonWrappable
  39. def makeRFile(conf: CodegenConfig): Unit
    Definition Classes
    RWrappable
  40. val outputCol: Param[String]

    The name of the output column

    The name of the output column

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

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

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

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