Packages

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

Linear Supertypes
SynapseMLLogging, ConditionalKNNParams, HasLabelCol, KNNParams, HasOutputCol, Wrappable, 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. RWrappable
  9. PythonWrappable
  10. BaseWrappable
  11. HasFeaturesCol
  12. ComplexParamsWritable
  13. MLWritable
  14. Model
  15. Transformer
  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 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 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: ConditionalBallTree[_, _]
  12. def getConditionerCol: String
    Definition Classes
    ConditionalKNNParams
  13. final def getDefault[T](param: Param[T]): Option[T]
    Definition Classes
    Params
  14. def getFeaturesCol: String

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

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

    Definition Classes
    HasOutputCol
  20. def getParam(paramName: String): Param[Any]
    Definition Classes
    Params
  21. def getParamInfo(p: Param[_]): ParamInfo[_]
    Definition Classes
    BaseWrappable
  22. def getValuesCol: String
    Definition Classes
    KNNParams
  23. final def hasDefault[T](param: Param[T]): Boolean
    Definition Classes
    Params
  24. def hasParam(paramName: String): Boolean
    Definition Classes
    Params
  25. def hasParent: Boolean
    Definition Classes
    Model
  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(featureName: String): Unit
    Definition Classes
    SynapseMLLogging
  32. def logFit[T](f: ⇒ T, columns: Int): T
    Definition Classes
    SynapseMLLogging
  33. def logTransform[T](f: ⇒ T, columns: Int): T
    Definition Classes
    SynapseMLLogging
  34. def logVerb[T](verb: String, f: ⇒ T, columns: Option[Int] = None): T
    Definition Classes
    SynapseMLLogging
  35. def makePyFile(conf: CodegenConfig): Unit
    Definition Classes
    PythonWrappable
  36. def makeRFile(conf: CodegenConfig): Unit
    Definition Classes
    RWrappable
  37. val outputCol: Param[String]

    The name of the output column

    The name of the output column

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

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

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

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