Packages

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

Linear Supertypes
SynapseMLLogging, KNNParams, HasOutputCol, Wrappable, RWrappable, PythonWrappable, BaseWrappable, HasFeaturesCol, ComplexParamsWritable, MLWritable, Model[KNNModel], Transformer, PipelineStage, Logging, Params, Serializable, Serializable, Identifiable, AnyRef, Any
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Inherited
  1. KNNModel
  2. SynapseMLLogging
  3. KNNParams
  4. HasOutputCol
  5. Wrappable
  6. RWrappable
  7. PythonWrappable
  8. BaseWrappable
  9. HasFeaturesCol
  10. ComplexParamsWritable
  11. MLWritable
  12. Model
  13. Transformer
  14. PipelineStage
  15. Logging
  16. Params
  17. Serializable
  18. Serializable
  19. Identifiable
  20. AnyRef
  21. 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 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. final def get[T](param: Param[T]): Option[T]
    Definition Classes
    Params
  10. def getBallTree: BallTree[_]
  11. final def getDefault[T](param: Param[T]): Option[T]
    Definition Classes
    Params
  12. def getFeaturesCol: String

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

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

    The name of the output column

    The name of the output column

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

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

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