class StratifiedRepartition extends Transformer with Wrappable with DefaultParamsWritable with HasLabelCol with HasSeed with SynapseMLLogging

StratifiedRepartition repartitions the DataFrame such that each label is selected in each partition. This may be necessary in some cases such as in LightGBM multiclass classification, where it is necessary for at least one instance of each label to be present on each partition.

Linear Supertypes
SynapseMLLogging, HasSeed, HasLabelCol, DefaultParamsWritable, MLWritable, Wrappable, RWrappable, PythonWrappable, BaseWrappable, Transformer, PipelineStage, Logging, Params, Serializable, Serializable, Identifiable, AnyRef, Any
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Inherited
  1. StratifiedRepartition
  2. SynapseMLLogging
  3. HasSeed
  4. HasLabelCol
  5. DefaultParamsWritable
  6. MLWritable
  7. Wrappable
  8. RWrappable
  9. PythonWrappable
  10. BaseWrappable
  11. Transformer
  12. PipelineStage
  13. Logging
  14. Params
  15. Serializable
  16. Serializable
  17. Identifiable
  18. AnyRef
  19. Any
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Visibility
  1. Public
  2. All

Instance Constructors

  1. new StratifiedRepartition()
  2. new StratifiedRepartition(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[_]): StratifiedRepartition.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): StratifiedRepartition
    Definition Classes
    StratifiedRepartition → Transformer → 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. def finalize(): Unit
    Attributes
    protected[lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( classOf[java.lang.Throwable] )
  21. final def get[T](param: Param[T]): Option[T]
    Definition Classes
    Params
  22. final def getClass(): Class[_]
    Definition Classes
    AnyRef → Any
    Annotations
    @native()
  23. final def getDefault[T](param: Param[T]): Option[T]
    Definition Classes
    Params
  24. def getLabelCol: String

    Definition Classes
    HasLabelCol
  25. def getMode: String
  26. final def getOrDefault[T](param: Param[T]): T
    Definition Classes
    Params
  27. def getParam(paramName: String): Param[Any]
    Definition Classes
    Params
  28. def getParamInfo(p: Param[_]): ParamInfo[_]
    Definition Classes
    BaseWrappable
  29. def getPayload(methodName: String, numCols: Option[Int], executionSeconds: Option[Double], exception: Option[Exception]): Map[String, String]
    Attributes
    protected
    Definition Classes
    SynapseMLLogging
  30. final def getSeed: Long
    Definition Classes
    HasSeed
  31. final def hasDefault[T](param: Param[T]): Boolean
    Definition Classes
    Params
  32. def hasParam(paramName: String): Boolean
    Definition Classes
    Params
  33. def hashCode(): Int
    Definition Classes
    AnyRef → Any
    Annotations
    @native()
  34. def initializeLogIfNecessary(isInterpreter: Boolean, silent: Boolean): Boolean
    Attributes
    protected
    Definition Classes
    Logging
  35. def initializeLogIfNecessary(isInterpreter: Boolean): Unit
    Attributes
    protected
    Definition Classes
    Logging
  36. final def isDefined(param: Param[_]): Boolean
    Definition Classes
    Params
  37. final def isInstanceOf[T0]: Boolean
    Definition Classes
    Any
  38. final def isSet(param: Param[_]): Boolean
    Definition Classes
    Params
  39. def isTraceEnabled(): Boolean
    Attributes
    protected
    Definition Classes
    Logging
  40. val labelCol: Param[String]

    The name of the label column

    The name of the label column

    Definition Classes
    HasLabelCol
  41. def log: Logger
    Attributes
    protected
    Definition Classes
    Logging
  42. def logBase(info: Map[String, String], featureName: Option[String]): Unit
    Attributes
    protected
    Definition Classes
    SynapseMLLogging
  43. def logBase(methodName: String, numCols: Option[Int], executionSeconds: Option[Double], featureName: Option[String]): Unit
    Attributes
    protected
    Definition Classes
    SynapseMLLogging
  44. def logClass(featureName: String): Unit
    Definition Classes
    SynapseMLLogging
  45. def logDebug(msg: ⇒ String, throwable: Throwable): Unit
    Attributes
    protected
    Definition Classes
    Logging
  46. def logDebug(msg: ⇒ String): Unit
    Attributes
    protected
    Definition Classes
    Logging
  47. def logError(msg: ⇒ String, throwable: Throwable): Unit
    Attributes
    protected
    Definition Classes
    Logging
  48. def logError(msg: ⇒ String): Unit
    Attributes
    protected
    Definition Classes
    Logging
  49. def logErrorBase(methodName: String, e: Exception): Unit
    Attributes
    protected
    Definition Classes
    SynapseMLLogging
  50. def logFit[T](f: ⇒ T, columns: Int): T
    Definition Classes
    SynapseMLLogging
  51. def logInfo(msg: ⇒ String, throwable: Throwable): Unit
    Attributes
    protected
    Definition Classes
    Logging
  52. def logInfo(msg: ⇒ String): Unit
    Attributes
    protected
    Definition Classes
    Logging
  53. def logName: String
    Attributes
    protected
    Definition Classes
    Logging
  54. def logTrace(msg: ⇒ String, throwable: Throwable): Unit
    Attributes
    protected
    Definition Classes
    Logging
  55. def logTrace(msg: ⇒ String): Unit
    Attributes
    protected
    Definition Classes
    Logging
  56. def logTransform[T](f: ⇒ T, columns: Int): T
    Definition Classes
    SynapseMLLogging
  57. def logVerb[T](verb: String, f: ⇒ T, columns: Option[Int] = None): T
    Definition Classes
    SynapseMLLogging
  58. def logWarning(msg: ⇒ String, throwable: Throwable): Unit
    Attributes
    protected
    Definition Classes
    Logging
  59. def logWarning(msg: ⇒ String): Unit
    Attributes
    protected
    Definition Classes
    Logging
  60. def makePyFile(conf: CodegenConfig): Unit
    Definition Classes
    PythonWrappable
  61. def makeRFile(conf: CodegenConfig): Unit
    Definition Classes
    RWrappable
  62. val mode: Param[String]
  63. final def ne(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  64. final def notify(): Unit
    Definition Classes
    AnyRef
    Annotations
    @native()
  65. final def notifyAll(): Unit
    Definition Classes
    AnyRef
    Annotations
    @native()
  66. lazy val params: Array[Param[_]]
    Definition Classes
    Params
  67. def pyAdditionalMethods: String
    Definition Classes
    PythonWrappable
  68. lazy val pyClassDoc: String
    Attributes
    protected
    Definition Classes
    PythonWrappable
  69. lazy val pyClassName: String
    Attributes
    protected
    Definition Classes
    PythonWrappable
  70. def pyExtraEstimatorImports: String
    Attributes
    protected
    Definition Classes
    PythonWrappable
  71. def pyExtraEstimatorMethods: String
    Attributes
    protected
    Definition Classes
    PythonWrappable
  72. lazy val pyInheritedClasses: Seq[String]
    Attributes
    protected
    Definition Classes
    PythonWrappable
  73. def pyInitFunc(): String
    Definition Classes
    PythonWrappable
  74. lazy val pyInternalWrapper: Boolean
    Attributes
    protected
    Definition Classes
    PythonWrappable
  75. lazy val pyObjectBaseClass: String
    Attributes
    protected
    Definition Classes
    PythonWrappable
  76. def pyParamArg[T](p: Param[T]): String
    Attributes
    protected
    Definition Classes
    PythonWrappable
  77. def pyParamDefault[T](p: Param[T]): Option[String]
    Attributes
    protected
    Definition Classes
    PythonWrappable
  78. def pyParamGetter(p: Param[_]): String
    Attributes
    protected
    Definition Classes
    PythonWrappable
  79. def pyParamSetter(p: Param[_]): String
    Attributes
    protected
    Definition Classes
    PythonWrappable
  80. def pyParamsArgs: String
    Attributes
    protected
    Definition Classes
    PythonWrappable
  81. def pyParamsDefaults: String
    Attributes
    protected
    Definition Classes
    PythonWrappable
  82. lazy val pyParamsDefinitions: String
    Attributes
    protected
    Definition Classes
    PythonWrappable
  83. def pyParamsGetters: String
    Attributes
    protected
    Definition Classes
    PythonWrappable
  84. def pyParamsSetters: String
    Attributes
    protected
    Definition Classes
    PythonWrappable
  85. def pythonClass(): String
    Attributes
    protected
    Definition Classes
    PythonWrappable
  86. def rClass(): String
    Attributes
    protected
    Definition Classes
    RWrappable
  87. def rDocString: String
    Attributes
    protected
    Definition Classes
    RWrappable
  88. def rExtraBodyLines: String
    Attributes
    protected
    Definition Classes
    RWrappable
  89. def rExtraInitLines: String
    Attributes
    protected
    Definition Classes
    RWrappable
  90. lazy val rFuncName: String
    Attributes
    protected
    Definition Classes
    RWrappable
  91. lazy val rInternalWrapper: Boolean
    Attributes
    protected
    Definition Classes
    RWrappable
  92. def rParamArg[T](p: Param[T]): String
    Attributes
    protected
    Definition Classes
    RWrappable
  93. def rParamsArgs: String
    Attributes
    protected
    Definition Classes
    RWrappable
  94. def rSetterLines: String
    Attributes
    protected
    Definition Classes
    RWrappable
  95. def save(path: String): Unit
    Definition Classes
    MLWritable
    Annotations
    @Since( "1.6.0" ) @throws( ... )
  96. final val seed: LongParam
    Definition Classes
    HasSeed
  97. final def set(paramPair: ParamPair[_]): StratifiedRepartition.this.type
    Attributes
    protected
    Definition Classes
    Params
  98. final def set(param: String, value: Any): StratifiedRepartition.this.type
    Attributes
    protected
    Definition Classes
    Params
  99. final def set[T](param: Param[T], value: T): StratifiedRepartition.this.type
    Definition Classes
    Params
  100. final def setDefault(paramPairs: ParamPair[_]*): StratifiedRepartition.this.type
    Attributes
    protected
    Definition Classes
    Params
  101. final def setDefault[T](param: Param[T], value: T): StratifiedRepartition.this.type
    Attributes
    protected[org.apache.spark.ml]
    Definition Classes
    Params
  102. def setLabelCol(value: String): StratifiedRepartition.this.type

    Definition Classes
    HasLabelCol
  103. def setMode(value: String): StratifiedRepartition.this.type
  104. def setSeed(value: Long): StratifiedRepartition.this.type
  105. final def synchronized[T0](arg0: ⇒ T0): T0
    Definition Classes
    AnyRef
  106. val thisStage: Params
    Attributes
    protected
    Definition Classes
    BaseWrappable
  107. def toString(): String
    Definition Classes
    Identifiable → AnyRef → Any
  108. def transform(dataset: Dataset[_]): DataFrame

    dataset

    - The input dataset, to be transformed

    returns

    The DataFrame that results from stratified repartitioning

    Definition Classes
    StratifiedRepartition → Transformer
  109. def transform(dataset: Dataset[_], paramMap: ParamMap): DataFrame
    Definition Classes
    Transformer
    Annotations
    @Since( "2.0.0" )
  110. def transform(dataset: Dataset[_], firstParamPair: ParamPair[_], otherParamPairs: ParamPair[_]*): DataFrame
    Definition Classes
    Transformer
    Annotations
    @Since( "2.0.0" ) @varargs()
  111. def transformSchema(schema: StructType): StructType
    Definition Classes
    StratifiedRepartition → PipelineStage
  112. def transformSchema(schema: StructType, logging: Boolean): StructType
    Attributes
    protected
    Definition Classes
    PipelineStage
    Annotations
    @DeveloperApi()
  113. val uid: String
    Definition Classes
    StratifiedRepartition → SynapseMLLogging → Identifiable
  114. final def wait(): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  115. final def wait(arg0: Long, arg1: Int): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  116. final def wait(arg0: Long): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... ) @native()
  117. def write: MLWriter
    Definition Classes
    DefaultParamsWritable → MLWritable

Inherited from SynapseMLLogging

Inherited from HasSeed

Inherited from HasLabelCol

Inherited from DefaultParamsWritable

Inherited from MLWritable

Inherited from Wrappable

Inherited from RWrappable

Inherited from PythonWrappable

Inherited from BaseWrappable

Inherited from Transformer

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