Packages

class KNN extends Estimator[KNNModel] with KNNParams with DefaultParamsWritable with OptimizedKNNFitting with SynapseMLLogging

Linear Supertypes
OptimizedKNNFitting, SynapseMLLogging, DefaultParamsWritable, MLWritable, KNNParams, HasOutputCol, Wrappable, RWrappable, PythonWrappable, BaseWrappable, HasFeaturesCol, Estimator[KNNModel], PipelineStage, Logging, Params, Serializable, Serializable, Identifiable, AnyRef, Any
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Inherited
  1. KNN
  2. OptimizedKNNFitting
  3. SynapseMLLogging
  4. DefaultParamsWritable
  5. MLWritable
  6. KNNParams
  7. HasOutputCol
  8. Wrappable
  9. RWrappable
  10. PythonWrappable
  11. BaseWrappable
  12. HasFeaturesCol
  13. Estimator
  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 KNN()
  2. new KNN(uid: String)

Value Members

  1. final def !=(arg0: Any): Boolean
    Definition Classes
    AnyRef → Any
  2. final def ##(): Int
    Definition Classes
    AnyRef → Any
  3. final def $[T](param: Param[T]): T
    Attributes
    protected
    Definition Classes
    Params
  4. final def ==(arg0: Any): Boolean
    Definition Classes
    AnyRef → Any
  5. final def asInstanceOf[T0]: T0
    Definition Classes
    Any
  6. lazy val classNameHelper: String
    Attributes
    protected
    Definition Classes
    BaseWrappable
  7. final def clear(param: Param[_]): KNN.this.type
    Definition Classes
    Params
  8. def clone(): AnyRef
    Attributes
    protected[lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( ... ) @native()
  9. def companionModelClassName: String
    Attributes
    protected
    Definition Classes
    BaseWrappable
  10. def copy(extra: ParamMap): Estimator[KNNModel]
    Definition Classes
    KNN → Estimator → PipelineStage → Params
  11. def copyValues[T <: Params](to: T, extra: ParamMap): T
    Attributes
    protected
    Definition Classes
    Params
  12. lazy val copyrightLines: String
    Attributes
    protected
    Definition Classes
    BaseWrappable
  13. final def defaultCopy[T <: Params](extra: ParamMap): T
    Attributes
    protected
    Definition Classes
    Params
  14. final def eq(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  15. def equals(arg0: Any): Boolean
    Definition Classes
    AnyRef → Any
  16. def explainParam(param: Param[_]): String
    Definition Classes
    Params
  17. def explainParams(): String
    Definition Classes
    Params
  18. final def extractParamMap(): ParamMap
    Definition Classes
    Params
  19. final def extractParamMap(extra: ParamMap): ParamMap
    Definition Classes
    Params
  20. val featuresCol: Param[String]

    The name of the features column

    The name of the features column

    Definition Classes
    HasFeaturesCol
  21. def finalize(): Unit
    Attributes
    protected[lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( classOf[java.lang.Throwable] )
  22. def fit(dataset: Dataset[_]): KNNModel
    Definition Classes
    KNN → Estimator
  23. def fit(dataset: Dataset[_], paramMaps: Seq[ParamMap]): Seq[KNNModel]
    Definition Classes
    Estimator
    Annotations
    @Since( "2.0.0" )
  24. def fit(dataset: Dataset[_], paramMap: ParamMap): KNNModel
    Definition Classes
    Estimator
    Annotations
    @Since( "2.0.0" )
  25. def fit(dataset: Dataset[_], firstParamPair: ParamPair[_], otherParamPairs: ParamPair[_]*): KNNModel
    Definition Classes
    Estimator
    Annotations
    @Since( "2.0.0" ) @varargs()
  26. def fitOptimized(dataset: Dataset[_]): KNNModel
    Attributes
    protected
    Definition Classes
    OptimizedKNNFitting
  27. final def get[T](param: Param[T]): Option[T]
    Definition Classes
    Params
  28. final def getClass(): Class[_]
    Definition Classes
    AnyRef → Any
    Annotations
    @native()
  29. final def getDefault[T](param: Param[T]): Option[T]
    Definition Classes
    Params
  30. def getFeaturesCol: String

    Definition Classes
    HasFeaturesCol
  31. def getK: Int
    Definition Classes
    KNNParams
  32. def getLeafSize: Int
    Definition Classes
    KNNParams
  33. final def getOrDefault[T](param: Param[T]): T
    Definition Classes
    Params
  34. def getOutputCol: String

    Definition Classes
    HasOutputCol
  35. def getParam(paramName: String): Param[Any]
    Definition Classes
    Params
  36. def getParamInfo(p: Param[_]): ParamInfo[_]
    Definition Classes
    BaseWrappable
  37. def getPayload(methodName: String, numCols: Option[Int], executionSeconds: Option[Double], exception: Option[Exception]): Map[String, String]
    Attributes
    protected
    Definition Classes
    SynapseMLLogging
  38. def getValuesCol: String
    Definition Classes
    KNNParams
  39. final def hasDefault[T](param: Param[T]): Boolean
    Definition Classes
    Params
  40. def hasParam(paramName: String): Boolean
    Definition Classes
    Params
  41. def hashCode(): Int
    Definition Classes
    AnyRef → Any
    Annotations
    @native()
  42. def initializeLogIfNecessary(isInterpreter: Boolean, silent: Boolean): Boolean
    Attributes
    protected
    Definition Classes
    Logging
  43. def initializeLogIfNecessary(isInterpreter: Boolean): Unit
    Attributes
    protected
    Definition Classes
    Logging
  44. final def isDefined(param: Param[_]): Boolean
    Definition Classes
    Params
  45. final def isInstanceOf[T0]: Boolean
    Definition Classes
    Any
  46. final def isSet(param: Param[_]): Boolean
    Definition Classes
    Params
  47. def isTraceEnabled(): Boolean
    Attributes
    protected
    Definition Classes
    Logging
  48. val k: IntParam
    Definition Classes
    KNNParams
  49. val leafSize: IntParam
    Definition Classes
    KNNParams
  50. def log: Logger
    Attributes
    protected
    Definition Classes
    Logging
  51. def logBase(info: Map[String, String], featureName: Option[String]): Unit
    Attributes
    protected
    Definition Classes
    SynapseMLLogging
  52. def logBase(methodName: String, numCols: Option[Int], executionSeconds: Option[Double], featureName: Option[String]): Unit
    Attributes
    protected
    Definition Classes
    SynapseMLLogging
  53. def logClass(featureName: String): Unit
    Definition Classes
    SynapseMLLogging
  54. def logDebug(msg: ⇒ String, throwable: Throwable): Unit
    Attributes
    protected
    Definition Classes
    Logging
  55. def logDebug(msg: ⇒ String): Unit
    Attributes
    protected
    Definition Classes
    Logging
  56. def logError(msg: ⇒ String, throwable: Throwable): Unit
    Attributes
    protected
    Definition Classes
    Logging
  57. def logError(msg: ⇒ String): Unit
    Attributes
    protected
    Definition Classes
    Logging
  58. def logErrorBase(methodName: String, e: Exception): Unit
    Attributes
    protected
    Definition Classes
    SynapseMLLogging
  59. def logFit[T](f: ⇒ T, columns: Int): T
    Definition Classes
    SynapseMLLogging
  60. def logInfo(msg: ⇒ String, throwable: Throwable): Unit
    Attributes
    protected
    Definition Classes
    Logging
  61. def logInfo(msg: ⇒ String): Unit
    Attributes
    protected
    Definition Classes
    Logging
  62. def logName: String
    Attributes
    protected
    Definition Classes
    Logging
  63. def logTrace(msg: ⇒ String, throwable: Throwable): Unit
    Attributes
    protected
    Definition Classes
    Logging
  64. def logTrace(msg: ⇒ String): Unit
    Attributes
    protected
    Definition Classes
    Logging
  65. def logTransform[T](f: ⇒ T, columns: Int): T
    Definition Classes
    SynapseMLLogging
  66. def logVerb[T](verb: String, f: ⇒ T, columns: Option[Int] = None): T
    Definition Classes
    SynapseMLLogging
  67. def logWarning(msg: ⇒ String, throwable: Throwable): Unit
    Attributes
    protected
    Definition Classes
    Logging
  68. def logWarning(msg: ⇒ String): Unit
    Attributes
    protected
    Definition Classes
    Logging
  69. def makePyFile(conf: CodegenConfig): Unit
    Definition Classes
    PythonWrappable
  70. def makeRFile(conf: CodegenConfig): Unit
    Definition Classes
    RWrappable
  71. final def ne(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  72. final def notify(): Unit
    Definition Classes
    AnyRef
    Annotations
    @native()
  73. final def notifyAll(): Unit
    Definition Classes
    AnyRef
    Annotations
    @native()
  74. val outputCol: Param[String]

    The name of the output column

    The name of the output column

    Definition Classes
    HasOutputCol
  75. lazy val params: Array[Param[_]]
    Definition Classes
    Params
  76. def pyAdditionalMethods: String
    Definition Classes
    PythonWrappable
  77. lazy val pyClassDoc: String
    Attributes
    protected
    Definition Classes
    PythonWrappable
  78. lazy val pyClassName: String
    Attributes
    protected
    Definition Classes
    PythonWrappable
  79. def pyExtraEstimatorImports: String
    Attributes
    protected
    Definition Classes
    PythonWrappable
  80. def pyExtraEstimatorMethods: String
    Attributes
    protected
    Definition Classes
    PythonWrappable
  81. lazy val pyInheritedClasses: Seq[String]
    Attributes
    protected
    Definition Classes
    PythonWrappable
  82. def pyInitFunc(): String
    Definition Classes
    PythonWrappable
  83. lazy val pyInternalWrapper: Boolean
    Attributes
    protected
    Definition Classes
    PythonWrappable
  84. lazy val pyObjectBaseClass: String
    Attributes
    protected
    Definition Classes
    PythonWrappable
  85. def pyParamArg[T](p: Param[T]): String
    Attributes
    protected
    Definition Classes
    PythonWrappable
  86. def pyParamDefault[T](p: Param[T]): Option[String]
    Attributes
    protected
    Definition Classes
    PythonWrappable
  87. def pyParamGetter(p: Param[_]): String
    Attributes
    protected
    Definition Classes
    PythonWrappable
  88. def pyParamSetter(p: Param[_]): String
    Attributes
    protected
    Definition Classes
    PythonWrappable
  89. def pyParamsArgs: String
    Attributes
    protected
    Definition Classes
    PythonWrappable
  90. def pyParamsDefaults: String
    Attributes
    protected
    Definition Classes
    PythonWrappable
  91. lazy val pyParamsDefinitions: String
    Attributes
    protected
    Definition Classes
    PythonWrappable
  92. def pyParamsGetters: String
    Attributes
    protected
    Definition Classes
    PythonWrappable
  93. def pyParamsSetters: String
    Attributes
    protected
    Definition Classes
    PythonWrappable
  94. def pythonClass(): String
    Attributes
    protected
    Definition Classes
    PythonWrappable
  95. def rClass(): String
    Attributes
    protected
    Definition Classes
    RWrappable
  96. def rDocString: String
    Attributes
    protected
    Definition Classes
    RWrappable
  97. def rExtraBodyLines: String
    Attributes
    protected
    Definition Classes
    RWrappable
  98. def rExtraInitLines: String
    Attributes
    protected
    Definition Classes
    RWrappable
  99. lazy val rFuncName: String
    Attributes
    protected
    Definition Classes
    RWrappable
  100. lazy val rInternalWrapper: Boolean
    Attributes
    protected
    Definition Classes
    RWrappable
  101. def rParamArg[T](p: Param[T]): String
    Attributes
    protected
    Definition Classes
    RWrappable
  102. def rParamsArgs: String
    Attributes
    protected
    Definition Classes
    RWrappable
  103. def rSetterLines: String
    Attributes
    protected
    Definition Classes
    RWrappable
  104. def save(path: String): Unit
    Definition Classes
    MLWritable
    Annotations
    @Since( "1.6.0" ) @throws( ... )
  105. final def set(paramPair: ParamPair[_]): KNN.this.type
    Attributes
    protected
    Definition Classes
    Params
  106. final def set(param: String, value: Any): KNN.this.type
    Attributes
    protected
    Definition Classes
    Params
  107. final def set[T](param: Param[T], value: T): KNN.this.type
    Definition Classes
    Params
  108. final def setDefault(paramPairs: ParamPair[_]*): KNN.this.type
    Attributes
    protected
    Definition Classes
    Params
  109. final def setDefault[T](param: Param[T], value: T): KNN.this.type
    Attributes
    protected[org.apache.spark.ml]
    Definition Classes
    Params
  110. def setFeaturesCol(value: String): KNN.this.type

    Definition Classes
    HasFeaturesCol
  111. def setK(v: Int): KNN.this.type
    Definition Classes
    KNNParams
  112. def setLeafSize(v: Int): KNN.this.type
    Definition Classes
    KNNParams
  113. def setOutputCol(value: String): KNN.this.type

    Definition Classes
    HasOutputCol
  114. def setValuesCol(v: String): KNN.this.type
    Definition Classes
    KNNParams
  115. final def synchronized[T0](arg0: ⇒ T0): T0
    Definition Classes
    AnyRef
  116. val thisStage: Params
    Attributes
    protected
    Definition Classes
    BaseWrappable
  117. def toString(): String
    Definition Classes
    Identifiable → AnyRef → Any
  118. def transformSchema(schema: StructType): StructType
    Definition Classes
    KNN → PipelineStage
  119. def transformSchema(schema: StructType, logging: Boolean): StructType
    Attributes
    protected
    Definition Classes
    PipelineStage
    Annotations
    @DeveloperApi()
  120. val uid: String
    Definition Classes
    KNN → SynapseMLLogging → Identifiable
  121. val valuesCol: Param[String]
    Definition Classes
    KNNParams
  122. final def wait(): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  123. final def wait(arg0: Long, arg1: Int): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  124. final def wait(arg0: Long): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... ) @native()
  125. def write: MLWriter
    Definition Classes
    DefaultParamsWritable → MLWritable

Inherited from OptimizedKNNFitting

Inherited from SynapseMLLogging

Inherited from DefaultParamsWritable

Inherited from MLWritable

Inherited from KNNParams

Inherited from HasOutputCol

Inherited from Wrappable

Inherited from RWrappable

Inherited from PythonWrappable

Inherited from BaseWrappable

Inherited from HasFeaturesCol

Inherited from Estimator[KNNModel]

Inherited from PipelineStage

Inherited from Logging

Inherited from Params

Inherited from Serializable

Inherited from Serializable

Inherited from Identifiable

Inherited from AnyRef

Inherited from Any

getParam

param

setParam

Ungrouped