Packages

class KNNModel extends Model[KNNModel] with ComplexParamsWritable with KNNParams with SynapseMLLogging

Linear Supertypes
SynapseMLLogging, KNNParams, HasOutputCol, Wrappable, DotnetWrappable, RWrappable, PythonWrappable, BaseWrappable, HasFeaturesCol, ComplexParamsWritable, MLWritable, Model[KNNModel], Transformer, PipelineStage, Logging, Params, Serializable, Serializable, Identifiable, AnyRef, Any
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  2. By Inheritance
Inherited
  1. KNNModel
  2. SynapseMLLogging
  3. KNNParams
  4. HasOutputCol
  5. Wrappable
  6. DotnetWrappable
  7. RWrappable
  8. PythonWrappable
  9. BaseWrappable
  10. HasFeaturesCol
  11. ComplexParamsWritable
  12. MLWritable
  13. Model
  14. Transformer
  15. PipelineStage
  16. Logging
  17. Params
  18. Serializable
  19. Serializable
  20. Identifiable
  21. AnyRef
  22. Any
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Visibility
  1. Public
  2. All

Instance Constructors

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

Value Members

  1. val ballTree: BallTreeParam
  2. final def clear(param: Param[_]): KNNModel.this.type
    Definition Classes
    Params
  3. def copy(extra: ParamMap): KNNModel
    Definition Classes
    KNNModel → Model → Transformer → 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. final def get[T](param: Param[T]): Option[T]
    Definition Classes
    Params
  11. def getBallTree: BallTree[_]
  12. final def getDefault[T](param: Param[T]): Option[T]
    Definition Classes
    Params
  13. def getFeaturesCol: String

    Definition Classes
    HasFeaturesCol
  14. def getK: Int
    Definition Classes
    KNNParams
  15. def getLeafSize: Int
    Definition Classes
    KNNParams
  16. final def getOrDefault[T](param: Param[T]): T
    Definition Classes
    Params
  17. def getOutputCol: String

    Definition Classes
    HasOutputCol
  18. def getParam(paramName: String): Param[Any]
    Definition Classes
    Params
  19. def getParamInfo(p: Param[_]): ParamInfo[_]
    Definition Classes
    BaseWrappable
  20. def getValuesCol: String
    Definition Classes
    KNNParams
  21. final def hasDefault[T](param: Param[T]): Boolean
    Definition Classes
    Params
  22. def hasParam(paramName: String): Boolean
    Definition Classes
    Params
  23. def hasParent: Boolean
    Definition Classes
    Model
  24. final def isDefined(param: Param[_]): Boolean
    Definition Classes
    Params
  25. final def isSet(param: Param[_]): Boolean
    Definition Classes
    Params
  26. val k: IntParam
    Definition Classes
    KNNParams
  27. val leafSize: IntParam
    Definition Classes
    KNNParams
  28. def logClass(featureName: String): Unit
    Definition Classes
    SynapseMLLogging
  29. def logFit[T](f: ⇒ T, columns: Int): T
    Definition Classes
    SynapseMLLogging
  30. def logTransform[T](f: ⇒ T, columns: Int): T
    Definition Classes
    SynapseMLLogging
  31. def logVerb[T](verb: String, f: ⇒ T, columns: Option[Int] = None): T
    Definition Classes
    SynapseMLLogging
  32. def makeDotnetFile(conf: CodegenConfig): Unit
    Definition Classes
    DotnetWrappable
  33. def makePyFile(conf: CodegenConfig): Unit
    Definition Classes
    PythonWrappable
  34. def makeRFile(conf: CodegenConfig): Unit
    Definition Classes
    RWrappable
  35. val outputCol: Param[String]

    The name of the output column

    The name of the output column

    Definition Classes
    HasOutputCol
  36. lazy val params: Array[Param[_]]
    Definition Classes
    Params
  37. var parent: Estimator[KNNModel]
    Definition Classes
    Model
  38. def pyAdditionalMethods: String
    Definition Classes
    PythonWrappable
  39. def pyInitFunc(): String
    Definition Classes
    PythonWrappable
  40. def save(path: String): Unit
    Definition Classes
    MLWritable
    Annotations
    @Since( "1.6.0" ) @throws( ... )
  41. final def set[T](param: Param[T], value: T): KNNModel.this.type
    Definition Classes
    Params
  42. def setBallTree(v: BallTree[_]): KNNModel.this.type
  43. def setFeaturesCol(value: String): KNNModel.this.type

    Definition Classes
    HasFeaturesCol
  44. def setK(v: Int): KNNModel.this.type
    Definition Classes
    KNNParams
  45. def setLeafSize(v: Int): KNNModel.this.type
    Definition Classes
    KNNParams
  46. def setOutputCol(value: String): KNNModel.this.type

    Definition Classes
    HasOutputCol
  47. def setParent(parent: Estimator[KNNModel]): KNNModel
    Definition Classes
    Model
  48. def setValuesCol(v: String): KNNModel.this.type
    Definition Classes
    KNNParams
  49. def toString(): String
    Definition Classes
    Identifiable → AnyRef → Any
  50. def transform(dataset: Dataset[_]): DataFrame
    Definition Classes
    KNNModel → Transformer
  51. def transform(dataset: Dataset[_], paramMap: ParamMap): DataFrame
    Definition Classes
    Transformer
    Annotations
    @Since( "2.0.0" )
  52. def transform(dataset: Dataset[_], firstParamPair: ParamPair[_], otherParamPairs: ParamPair[_]*): DataFrame
    Definition Classes
    Transformer
    Annotations
    @Since( "2.0.0" ) @varargs()
  53. def transformSchema(schema: StructType): StructType
    Definition Classes
    KNNModel → PipelineStage
  54. val uid: String
    Definition Classes
    KNNModel → SynapseMLLogging → Identifiable
  55. val valuesCol: Param[String]
    Definition Classes
    KNNParams
  56. def write: MLWriter
    Definition Classes
    ComplexParamsWritable → MLWritable