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. final def asInstanceOf[T0]: T0

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    Definition Classes
    Any

  6. val broadcastJoin: BooleanParam

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

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    Definition Classes
    Params

  8. def clone(): AnyRef

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

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

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    Definition Classes
    ClassBalancer → Estimator → PipelineStage → Params

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

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    Attributes
    protected
    Definition Classes
    Params

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

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    Attributes
    protected
    Definition Classes
    Params

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

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    Definition Classes
    AnyRef

  13. def equals(arg0: Any): Boolean

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    Definition Classes
    AnyRef → Any

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

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    Definition Classes
    Params

  15. def explainParams(): String

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    Definition Classes
    Params

  16. final def extractParamMap(): ParamMap

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    Definition Classes
    Params

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

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    Definition Classes
    Params

  18. def finalize(): Unit

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

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

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    Definition Classes
    ClassBalancer → Estimator

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

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    Definition Classes
    Estimator
    Annotations
    @Since( "2.0.0" )

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

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    Definition Classes
    Estimator
    Annotations
    @Since( "2.0.0" )

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

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

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

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    Definition Classes
    Params

  24. def getBroadcastJoin: Boolean

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

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    Definition Classes
    AnyRef → Any

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

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    Definition Classes
    Params

  27. def getInputCol: String

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    Definition Classes
    HasInputCol

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

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    Definition Classes
    Params

  29. def getOutputCol: String

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    Definition Classes
    HasOutputCol

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

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    Definition Classes
    Params

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

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    Definition Classes
    Params

  32. def hasParam(paramName: String): Boolean

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    Definition Classes
    Params

  33. def hashCode(): Int

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    Definition Classes
    AnyRef → Any

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

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    Attributes
    protected
    Definition Classes
    Logging

  35. def initializeLogIfNecessary(isInterpreter: Boolean): Unit

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    Attributes
    protected
    Definition Classes
    Logging

  36. val inputCol: Param[String]

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    The name of the input column

    The name of the input column

    Definition Classes
    HasInputCol

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

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    Definition Classes
    Params

  38. final def isInstanceOf[T0]: Boolean

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    Definition Classes
    Any

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

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    Definition Classes
    Params

  40. def isTraceEnabled(): Boolean

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    Attributes
    protected
    Definition Classes
    Logging

  41. def log: Logger

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    Attributes
    protected
    Definition Classes
    Logging

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

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    Attributes
    protected
    Definition Classes
    Logging

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

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    Attributes
    protected
    Definition Classes
    Logging

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

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    Attributes
    protected
    Definition Classes
    Logging

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

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    Attributes
    protected
    Definition Classes
    Logging

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

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    Attributes
    protected
    Definition Classes
    Logging

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

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    Attributes
    protected
    Definition Classes
    Logging

  48. def logName: String

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    Attributes
    protected
    Definition Classes
    Logging

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

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    Attributes
    protected
    Definition Classes
    Logging

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

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    Attributes
    protected
    Definition Classes
    Logging

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

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    Attributes
    protected
    Definition Classes
    Logging

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

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    Attributes
    protected
    Definition Classes
    Logging

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

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    Definition Classes
    AnyRef

  54. final def notify(): Unit

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    Definition Classes
    AnyRef

  55. final def notifyAll(): Unit

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    Definition Classes
    AnyRef

  56. val outputCol: Param[String]

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    The name of the output column

    The name of the output column

    Definition Classes
    HasOutputCol

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

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    Definition Classes
    Params

  58. def save(path: String): Unit

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

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

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    Attributes
    protected
    Definition Classes
    Params

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

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    Attributes
    protected
    Definition Classes
    Params

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

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    Definition Classes
    Params

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

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

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    Attributes
    protected
    Definition Classes
    Params

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

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    Attributes
    protected
    Definition Classes
    Params

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

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    Definition Classes
    HasInputCol

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

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    Definition Classes
    HasOutputCol

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

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    Definition Classes
    AnyRef

  68. def toString(): String

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    Definition Classes
    Identifiable → AnyRef → Any

  69. def transformSchema(schema: StructType): StructType

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    Definition Classes
    ClassBalancer → PipelineStage

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

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    Attributes
    protected
    Definition Classes
    PipelineStage
    Annotations
    @DeveloperApi()

  71. val uid: String

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    Definition Classes
    ClassBalancer → Identifiable

  72. final def wait(): Unit

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

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

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

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

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

  75. 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