Class/Object

com.microsoft.ml.spark

ClassBalancer

Related Docs: object ClassBalancer | package spark

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

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 heavilty skewed datasets. The inputCol should be the labels of the classes, and the output col will be the requisite weights.

Linear Supertypes
HasOutputCol, HasInputCol, Wrappable, DefaultParamsWritable, MLWritable, Estimator[ClassBalancerModel], PipelineStage, org.apache.spark.internal.Logging, Params, Serializable, Serializable, Identifiable, AnyRef, Any
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Inherited
  1. ClassBalancer
  2. HasOutputCol
  3. HasInputCol
  4. Wrappable
  5. DefaultParamsWritable
  6. MLWritable
  7. Estimator
  8. PipelineStage
  9. Logging
  10. Params
  11. Serializable
  12. Serializable
  13. Identifiable
  14. AnyRef
  15. Any
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Visibility
  1. Public
  2. All

Instance Constructors

  1. new ClassBalancer()

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  2. new ClassBalancer(uid: String)

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Value Members

  1. final def !=(arg0: Any): Boolean

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    Definition Classes
    AnyRef → Any

  2. final def ##(): Int

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    Definition Classes
    AnyRef → Any

  3. final def $[T](param: Param[T]): T

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    Attributes
    protected
    Definition Classes
    Params

  4. final def ==(arg0: Any): Boolean

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    Definition Classes
    AnyRef → Any

  5. def BooleanParam(i: Identifiable, name: String, description: String, default: Boolean): BooleanParam

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    Definition Classes
    Wrappable

  6. def BooleanParam(i: Identifiable, name: String, description: String): BooleanParam

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    Definition Classes
    Wrappable

  7. def DoubleParam(i: Identifiable, name: String, description: String, default: Double): DoubleParam

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    Definition Classes
    Wrappable

  8. def DoubleParam(i: Identifiable, name: String, description: String): DoubleParam

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    Definition Classes
    Wrappable

  9. def IntParam(i: Identifiable, name: String, description: String, validation: (Int) ⇒ Boolean): IntParam

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    Definition Classes
    Wrappable

  10. def IntParam(i: Identifiable, name: String, description: String, default: Int): IntParam

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    Definition Classes
    Wrappable

  11. def IntParam(i: Identifiable, name: String, description: String): IntParam

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    Definition Classes
    Wrappable

  12. def LongParam(i: Identifiable, name: String, description: String, default: Long): LongParam

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    Definition Classes
    Wrappable

  13. def LongParam(i: Identifiable, name: String, description: String): LongParam

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    Definition Classes
    Wrappable

  14. def StringParam(i: Identifiable, name: String, description: String, default: String, domain: Seq[String]): Param[String]

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    Definition Classes
    Wrappable

  15. def StringParam(i: Identifiable, name: String, description: String, default: String): Param[String]

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    Definition Classes
    Wrappable

  16. def StringParam(i: Identifiable, name: String, description: String, validation: (String) ⇒ Boolean): Param[String]

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    Definition Classes
    Wrappable

  17. def StringParam(i: Identifiable, name: String, description: String): Param[String]

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    Definition Classes
    Wrappable

  18. final def asInstanceOf[T0]: T0

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    Definition Classes
    Any

  19. val broadcastJoin: BooleanParam

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  20. def chainedUid(origin: String): String

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    Definition Classes
    Wrappable

  21. final def clear(param: Param[_]): ClassBalancer.this.type

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    Definition Classes
    Params

  22. def clone(): AnyRef

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    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

  23. def copy(extra: ParamMap): Estimator[ClassBalancerModel]

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    Definition Classes
    ClassBalancer → Estimator → PipelineStage → Params

  24. def copyValues[T <: Params](to: T, extra: ParamMap): T

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    Attributes
    protected
    Definition Classes
    Params

  25. final def defaultCopy[T <: Params](extra: ParamMap): T

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    Attributes
    protected
    Definition Classes
    Params

  26. final def eq(arg0: AnyRef): Boolean

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    Definition Classes
    AnyRef

  27. def equals(arg0: Any): Boolean

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    Definition Classes
    AnyRef → Any

  28. def explainParam(param: Param[_]): String

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    Definition Classes
    Params

  29. def explainParams(): String

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    Definition Classes
    Params

  30. final def extractParamMap(): ParamMap

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    Definition Classes
    Params

  31. final def extractParamMap(extra: ParamMap): ParamMap

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    Definition Classes
    Params

  32. def finalize(): Unit

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    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( classOf[java.lang.Throwable] )

  33. def fit(dataset: Dataset[_]): ClassBalancerModel

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    Definition Classes
    ClassBalancer → Estimator

  34. def fit(dataset: Dataset[_], paramMaps: Array[ParamMap]): Seq[ClassBalancerModel]

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    Definition Classes
    Estimator
    Annotations
    @Since( "2.0.0" )

  35. def fit(dataset: Dataset[_], paramMap: ParamMap): ClassBalancerModel

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    Definition Classes
    Estimator
    Annotations
    @Since( "2.0.0" )

  36. def fit(dataset: Dataset[_], firstParamPair: ParamPair[_], otherParamPairs: ParamPair[_]*): ClassBalancerModel

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    Definition Classes
    Estimator
    Annotations
    @Since( "2.0.0" ) @varargs()

  37. final def get[T](param: Param[T]): Option[T]

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    Definition Classes
    Params

  38. def getBroadcastJoin: Boolean

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  39. final def getClass(): Class[_]

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    Definition Classes
    AnyRef → Any

  40. final def getDefault[T](param: Param[T]): Option[T]

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    Definition Classes
    Params

  41. def getInputCol: String

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    Definition Classes
    HasInputCol

  42. final def getOrDefault[T](param: Param[T]): T

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    Definition Classes
    Params

  43. def getOutputCol: String

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    Definition Classes
    HasOutputCol

  44. def getParam(paramName: String): Param[Any]

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    Definition Classes
    Params

  45. final def hasDefault[T](param: Param[T]): Boolean

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    Definition Classes
    Params

  46. def hasParam(paramName: String): Boolean

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    Definition Classes
    Params

  47. def hashCode(): Int

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    Definition Classes
    AnyRef → Any

  48. def initializeLogIfNecessary(isInterpreter: Boolean, silent: Boolean): Boolean

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    Attributes
    protected
    Definition Classes
    Logging

  49. def initializeLogIfNecessary(isInterpreter: Boolean): Unit

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    Attributes
    protected
    Definition Classes
    Logging

  50. val inputCol: Param[String]

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    The name of the input column

    The name of the input column

    Definition Classes
    HasInputCol

  51. final def isDefined(param: Param[_]): Boolean

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    Definition Classes
    Params

  52. final def isInstanceOf[T0]: Boolean

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    Definition Classes
    Any

  53. final def isSet(param: Param[_]): Boolean

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    Definition Classes
    Params

  54. def isTraceEnabled(): Boolean

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    Attributes
    protected
    Definition Classes
    Logging

  55. def log: Logger

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    Attributes
    protected
    Definition Classes
    Logging

  56. def logDebug(msg: ⇒ String, throwable: Throwable): Unit

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    Attributes
    protected
    Definition Classes
    Logging

  57. def logDebug(msg: ⇒ String): Unit

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    Attributes
    protected
    Definition Classes
    Logging

  58. def logError(msg: ⇒ String, throwable: Throwable): Unit

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    Attributes
    protected
    Definition Classes
    Logging

  59. def logError(msg: ⇒ String): Unit

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    Attributes
    protected
    Definition Classes
    Logging

  60. def logInfo(msg: ⇒ String, throwable: Throwable): Unit

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    Attributes
    protected
    Definition Classes
    Logging

  61. def logInfo(msg: ⇒ String): Unit

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    Attributes
    protected
    Definition Classes
    Logging

  62. def logName: String

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    Attributes
    protected
    Definition Classes
    Logging

  63. def logTrace(msg: ⇒ String, throwable: Throwable): Unit

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    Attributes
    protected
    Definition Classes
    Logging

  64. def logTrace(msg: ⇒ String): Unit

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    Attributes
    protected
    Definition Classes
    Logging

  65. def logWarning(msg: ⇒ String, throwable: Throwable): Unit

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    Attributes
    protected
    Definition Classes
    Logging

  66. def logWarning(msg: ⇒ String): Unit

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    Attributes
    protected
    Definition Classes
    Logging

  67. final def ne(arg0: AnyRef): Boolean

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    Definition Classes
    AnyRef

  68. final def notify(): Unit

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    Definition Classes
    AnyRef

  69. final def notifyAll(): Unit

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    Definition Classes
    AnyRef

  70. val outputCol: Param[String]

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    The name of the output column

    The name of the output column

    Definition Classes
    HasOutputCol

  71. val paramDomains: Map[String, Seq[String]]

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    Definition Classes
    Wrappable

  72. lazy val params: Array[Param[_]]

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    Definition Classes
    Params

  73. def save(path: String): Unit

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    Definition Classes
    MLWritable
    Annotations
    @Since( "1.6.0" ) @throws( ... )

  74. final def set(paramPair: ParamPair[_]): ClassBalancer.this.type

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    Attributes
    protected
    Definition Classes
    Params

  75. final def set(param: String, value: Any): ClassBalancer.this.type

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    Attributes
    protected
    Definition Classes
    Params

  76. final def set[T](param: Param[T], value: T): ClassBalancer.this.type

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    Definition Classes
    Params

  77. def setBroadcastJoin(value: Boolean): ClassBalancer.this.type

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  78. final def setDefault(paramPairs: ParamPair[_]*): ClassBalancer.this.type

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    Attributes
    protected
    Definition Classes
    Params

  79. final def setDefault[T](param: Param[T], value: T): ClassBalancer.this.type

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    Attributes
    protected
    Definition Classes
    Params

  80. def setInputCol(value: String): ClassBalancer.this.type

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    Definition Classes
    HasInputCol

  81. def setOutputCol(value: String): ClassBalancer.this.type

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    Definition Classes
    HasOutputCol

  82. final def synchronized[T0](arg0: ⇒ T0): T0

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    Definition Classes
    AnyRef

  83. def toString(): String

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    Definition Classes
    Identifiable → AnyRef → Any

  84. def transformSchema(schema: StructType): StructType

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    Definition Classes
    ClassBalancer → PipelineStage

  85. def transformSchema(schema: StructType, logging: Boolean): StructType

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    Attributes
    protected
    Definition Classes
    PipelineStage
    Annotations
    @DeveloperApi()

  86. val uid: String

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    Definition Classes
    ClassBalancer → Identifiable

  87. final def wait(): Unit

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

  88. final def wait(arg0: Long, arg1: Int): Unit

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

  89. final def wait(arg0: Long): Unit

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

  90. def write: MLWriter

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    Definition Classes
    DefaultParamsWritable → MLWritable

Inherited from HasOutputCol

Inherited from HasInputCol

Inherited from Wrappable

Inherited from DefaultParamsWritable

Inherited from MLWritable

Inherited from Estimator[ClassBalancerModel]

Inherited from PipelineStage

Inherited from org.apache.spark.internal.Logging

Inherited from Params

Inherited from Serializable

Inherited from Serializable

Inherited from Identifiable

Inherited from AnyRef

Inherited from Any

Parameters

A list of parameter keys this algorithm can take. Users can set and get the parameter values through setters and getters

Parameter setters

Parameter getters

Members