class ClassBalancer extends Estimator[ClassBalancerModel] with DefaultParamsWritable with HasInputCol with HasOutputCol with Wrappable with SynapseMLLogging

An estimator that calculates the weights for balancing a dataset. For example, if the negative class is half the size of the positive class, the weights will be 2 for rows with negative classes and 1 for rows with positive classes. these weights can be used in weighted classifiers and regressors to correct for heavily skewed datasets. The inputCol should be the labels of the classes, and the output col will be the requisite weights.

Linear Supertypes
SynapseMLLogging, Wrappable, RWrappable, PythonWrappable, BaseWrappable, HasOutputCol, HasInputCol, DefaultParamsWritable, MLWritable, Estimator[ClassBalancerModel], PipelineStage, Logging, Params, Serializable, Serializable, Identifiable, AnyRef, Any
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Inherited
  1. ClassBalancer
  2. SynapseMLLogging
  3. Wrappable
  4. RWrappable
  5. PythonWrappable
  6. BaseWrappable
  7. HasOutputCol
  8. HasInputCol
  9. DefaultParamsWritable
  10. MLWritable
  11. Estimator
  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 ClassBalancer()
  2. new ClassBalancer(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. val broadcastJoin: BooleanParam
  7. lazy val classNameHelper: String
    Attributes
    protected
    Definition Classes
    BaseWrappable
  8. final def clear(param: Param[_]): ClassBalancer.this.type
    Definition Classes
    Params
  9. def clone(): AnyRef
    Attributes
    protected[lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( ... ) @native()
  10. def companionModelClassName: String
    Attributes
    protected
    Definition Classes
    BaseWrappable
  11. def copy(extra: ParamMap): Estimator[ClassBalancerModel]
    Definition Classes
    ClassBalancer → Estimator → PipelineStage → Params
  12. def copyValues[T <: Params](to: T, extra: ParamMap): T
    Attributes
    protected
    Definition Classes
    Params
  13. lazy val copyrightLines: String
    Attributes
    protected
    Definition Classes
    BaseWrappable
  14. final def defaultCopy[T <: Params](extra: ParamMap): T
    Attributes
    protected
    Definition Classes
    Params
  15. final def eq(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  16. def equals(arg0: Any): Boolean
    Definition Classes
    AnyRef → Any
  17. def explainParam(param: Param[_]): String
    Definition Classes
    Params
  18. def explainParams(): String
    Definition Classes
    Params
  19. final def extractParamMap(): ParamMap
    Definition Classes
    Params
  20. final def extractParamMap(extra: ParamMap): ParamMap
    Definition Classes
    Params
  21. def finalize(): Unit
    Attributes
    protected[lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( classOf[java.lang.Throwable] )
  22. def fit(dataset: Dataset[_]): ClassBalancerModel
    Definition Classes
    ClassBalancer → Estimator
  23. def fit(dataset: Dataset[_], paramMaps: Seq[ParamMap]): Seq[ClassBalancerModel]
    Definition Classes
    Estimator
    Annotations
    @Since( "2.0.0" )
  24. def fit(dataset: Dataset[_], paramMap: ParamMap): ClassBalancerModel
    Definition Classes
    Estimator
    Annotations
    @Since( "2.0.0" )
  25. def fit(dataset: Dataset[_], firstParamPair: ParamPair[_], otherParamPairs: ParamPair[_]*): ClassBalancerModel
    Definition Classes
    Estimator
    Annotations
    @Since( "2.0.0" ) @varargs()
  26. final def get[T](param: Param[T]): Option[T]
    Definition Classes
    Params
  27. def getBroadcastJoin: Boolean
  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 getInputCol: String

    Definition Classes
    HasInputCol
  31. final def getOrDefault[T](param: Param[T]): T
    Definition Classes
    Params
  32. def getOutputCol: String

    Definition Classes
    HasOutputCol
  33. def getParam(paramName: String): Param[Any]
    Definition Classes
    Params
  34. def getParamInfo(p: Param[_]): ParamInfo[_]
    Definition Classes
    BaseWrappable
  35. def getPayload(methodName: String, numCols: Option[Int], executionSeconds: Option[Double], exception: Option[Exception]): Map[String, String]
    Attributes
    protected
    Definition Classes
    SynapseMLLogging
  36. final def hasDefault[T](param: Param[T]): Boolean
    Definition Classes
    Params
  37. def hasParam(paramName: String): Boolean
    Definition Classes
    Params
  38. def hashCode(): Int
    Definition Classes
    AnyRef → Any
    Annotations
    @native()
  39. def initializeLogIfNecessary(isInterpreter: Boolean, silent: Boolean): Boolean
    Attributes
    protected
    Definition Classes
    Logging
  40. def initializeLogIfNecessary(isInterpreter: Boolean): Unit
    Attributes
    protected
    Definition Classes
    Logging
  41. val inputCol: Param[String]

    The name of the input column

    The name of the input column

    Definition Classes
    HasInputCol
  42. final def isDefined(param: Param[_]): Boolean
    Definition Classes
    Params
  43. final def isInstanceOf[T0]: Boolean
    Definition Classes
    Any
  44. final def isSet(param: Param[_]): Boolean
    Definition Classes
    Params
  45. def isTraceEnabled(): Boolean
    Attributes
    protected
    Definition Classes
    Logging
  46. def log: Logger
    Attributes
    protected
    Definition Classes
    Logging
  47. def logBase(info: Map[String, String], featureName: Option[String]): Unit
    Attributes
    protected
    Definition Classes
    SynapseMLLogging
  48. def logBase(methodName: String, numCols: Option[Int], executionSeconds: Option[Double], featureName: Option[String]): Unit
    Attributes
    protected
    Definition Classes
    SynapseMLLogging
  49. def logClass(featureName: String): Unit
    Definition Classes
    SynapseMLLogging
  50. def logDebug(msg: ⇒ String, throwable: Throwable): Unit
    Attributes
    protected
    Definition Classes
    Logging
  51. def logDebug(msg: ⇒ String): Unit
    Attributes
    protected
    Definition Classes
    Logging
  52. def logError(msg: ⇒ String, throwable: Throwable): Unit
    Attributes
    protected
    Definition Classes
    Logging
  53. def logError(msg: ⇒ String): Unit
    Attributes
    protected
    Definition Classes
    Logging
  54. def logErrorBase(methodName: String, e: Exception): Unit
    Attributes
    protected
    Definition Classes
    SynapseMLLogging
  55. def logFit[T](f: ⇒ T, columns: Int): T
    Definition Classes
    SynapseMLLogging
  56. def logInfo(msg: ⇒ String, throwable: Throwable): Unit
    Attributes
    protected
    Definition Classes
    Logging
  57. def logInfo(msg: ⇒ String): Unit
    Attributes
    protected
    Definition Classes
    Logging
  58. def logName: String
    Attributes
    protected
    Definition Classes
    Logging
  59. def logTrace(msg: ⇒ String, throwable: Throwable): Unit
    Attributes
    protected
    Definition Classes
    Logging
  60. def logTrace(msg: ⇒ String): Unit
    Attributes
    protected
    Definition Classes
    Logging
  61. def logTransform[T](f: ⇒ T, columns: Int): T
    Definition Classes
    SynapseMLLogging
  62. def logVerb[T](verb: String, f: ⇒ T, columns: Option[Int] = None): T
    Definition Classes
    SynapseMLLogging
  63. def logWarning(msg: ⇒ String, throwable: Throwable): Unit
    Attributes
    protected
    Definition Classes
    Logging
  64. def logWarning(msg: ⇒ String): Unit
    Attributes
    protected
    Definition Classes
    Logging
  65. def makePyFile(conf: CodegenConfig): Unit
    Definition Classes
    PythonWrappable
  66. def makeRFile(conf: CodegenConfig): Unit
    Definition Classes
    RWrappable
  67. final def ne(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  68. final def notify(): Unit
    Definition Classes
    AnyRef
    Annotations
    @native()
  69. final def notifyAll(): Unit
    Definition Classes
    AnyRef
    Annotations
    @native()
  70. val outputCol: Param[String]

    The name of the output column

    The name of the output column

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

    Definition Classes
    HasInputCol
  108. def setOutputCol(value: String): ClassBalancer.this.type

    Definition Classes
    HasOutputCol
  109. final def synchronized[T0](arg0: ⇒ T0): T0
    Definition Classes
    AnyRef
  110. val thisStage: Params
    Attributes
    protected
    Definition Classes
    BaseWrappable
  111. def toString(): String
    Definition Classes
    Identifiable → AnyRef → Any
  112. def transformSchema(schema: StructType): StructType
    Definition Classes
    ClassBalancer → PipelineStage
  113. def transformSchema(schema: StructType, logging: Boolean): StructType
    Attributes
    protected
    Definition Classes
    PipelineStage
    Annotations
    @DeveloperApi()
  114. val uid: String
    Definition Classes
    ClassBalancer → SynapseMLLogging → Identifiable
  115. final def wait(): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  116. final def wait(arg0: Long, arg1: Int): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  117. final def wait(arg0: Long): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... ) @native()
  118. def write: MLWriter
    Definition Classes
    DefaultParamsWritable → MLWritable

Inherited from SynapseMLLogging

Inherited from Wrappable

Inherited from RWrappable

Inherited from PythonWrappable

Inherited from BaseWrappable

Inherited from HasOutputCol

Inherited from HasInputCol

Inherited from DefaultParamsWritable

Inherited from MLWritable

Inherited from Estimator[ClassBalancerModel]

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