Packages

class ConditionalKNNModel extends Model[ConditionalKNNModel] with ComplexParamsWritable with ConditionalKNNParams with SynapseMLLogging

Linear Supertypes
SynapseMLLogging, ConditionalKNNParams, HasLabelCol, KNNParams, HasOutputCol, Wrappable, DotnetWrappable, RWrappable, PythonWrappable, BaseWrappable, HasFeaturesCol, ComplexParamsWritable, MLWritable, Model[ConditionalKNNModel], Transformer, PipelineStage, Logging, Params, Serializable, Serializable, Identifiable, AnyRef, Any
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Inherited
  1. ConditionalKNNModel
  2. SynapseMLLogging
  3. ConditionalKNNParams
  4. HasLabelCol
  5. KNNParams
  6. HasOutputCol
  7. Wrappable
  8. DotnetWrappable
  9. RWrappable
  10. PythonWrappable
  11. BaseWrappable
  12. HasFeaturesCol
  13. ComplexParamsWritable
  14. MLWritable
  15. Model
  16. Transformer
  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 ConditionalKNNModel()
  2. new ConditionalKNNModel(uid: String)

Value Members

  1. val ballTree: ConditionalBallTreeParam
  2. final def clear(param: Param[_]): ConditionalKNNModel.this.type
    Definition Classes
    Params
  3. val conditionerCol: Param[String]
    Definition Classes
    ConditionalKNNParams
  4. def copy(extra: ParamMap): ConditionalKNNModel
    Definition Classes
    ConditionalKNNModel → Model → Transformer → PipelineStage → Params
  5. def dotnetAdditionalMethods: String
    Definition Classes
    DotnetWrappable
  6. def explainParam(param: Param[_]): String
    Definition Classes
    Params
  7. def explainParams(): String
    Definition Classes
    Params
  8. final def extractParamMap(): ParamMap
    Definition Classes
    Params
  9. final def extractParamMap(extra: ParamMap): ParamMap
    Definition Classes
    Params
  10. val featuresCol: Param[String]

    The name of the features column

    The name of the features column

    Definition Classes
    HasFeaturesCol
  11. final def get[T](param: Param[T]): Option[T]
    Definition Classes
    Params
  12. def getBallTree: ConditionalBallTree[_, _]
  13. def getConditionerCol: String
    Definition Classes
    ConditionalKNNParams
  14. final def getDefault[T](param: Param[T]): Option[T]
    Definition Classes
    Params
  15. def getFeaturesCol: String

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

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

    Definition Classes
    HasOutputCol
  21. def getParam(paramName: String): Param[Any]
    Definition Classes
    Params
  22. def getParamInfo(p: Param[_]): ParamInfo[_]
    Definition Classes
    BaseWrappable
  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. def hasParent: Boolean
    Definition Classes
    Model
  27. final def isDefined(param: Param[_]): Boolean
    Definition Classes
    Params
  28. final def isSet(param: Param[_]): Boolean
    Definition Classes
    Params
  29. val k: IntParam
    Definition Classes
    KNNParams
  30. val labelCol: Param[String]

    The name of the label column

    The name of the label column

    Definition Classes
    HasLabelCol
  31. val leafSize: IntParam
    Definition Classes
    KNNParams
  32. def logClass(featureName: String): Unit
    Definition Classes
    SynapseMLLogging
  33. def logFit[T](f: ⇒ T, columns: Int): T
    Definition Classes
    SynapseMLLogging
  34. def logTransform[T](f: ⇒ T, columns: Int): T
    Definition Classes
    SynapseMLLogging
  35. def logVerb[T](verb: String, f: ⇒ T, columns: Option[Int] = None): T
    Definition Classes
    SynapseMLLogging
  36. def makeDotnetFile(conf: CodegenConfig): Unit
    Definition Classes
    DotnetWrappable
  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. var parent: Estimator[ConditionalKNNModel]
    Definition Classes
    Model
  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): ConditionalKNNModel.this.type
    Definition Classes
    Params
  46. def setBallTree(v: ConditionalBallTree[_, _]): ConditionalKNNModel.this.type
  47. def setConditionerCol(v: String): ConditionalKNNModel.this.type
    Definition Classes
    ConditionalKNNParams
  48. def setFeaturesCol(value: String): ConditionalKNNModel.this.type

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

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

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