Class

org.apache.spark.ml.odkl.UnwrappedStage

SamplingTransformer

Related Doc: package UnwrappedStage

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class SamplingTransformer extends Model[SamplingTransformer] with SamplerParams

Data transformer which takes sample of the data. Resulting dataframe is constructed in a way that results are non-determenistic and might vary from run to run (unless the seed is specified or with replacement enabled - in these cases we fallback to default data set sampling which is determenistic).

Linear Supertypes
SamplerParams, DefaultParamsWritable, MLWritable, HasSeed, Model[SamplingTransformer], Transformer, PipelineStage, Logging, Params, Serializable, Serializable, Identifiable, AnyRef, Any
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Inherited
  1. SamplingTransformer
  2. SamplerParams
  3. DefaultParamsWritable
  4. MLWritable
  5. HasSeed
  6. Model
  7. Transformer
  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 SamplingTransformer()

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  2. new SamplingTransformer(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. final def clear(param: Param[_]): SamplingTransformer.this.type

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    Definition Classes
    Params

  7. def clone(): AnyRef

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

  8. def copy(extra: ParamMap): SamplingTransformer

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    Definition Classes
    SamplingTransformer → Model → Transformer → PipelineStage → Params

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

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    Attributes
    protected
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    Params

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

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    Attributes
    protected
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    Params

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

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    Definition Classes
    AnyRef

  12. def equals(arg0: Any): Boolean

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    Definition Classes
    AnyRef → Any

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

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    Definition Classes
    Params

  14. def explainParams(): String

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    Definition Classes
    Params

  15. final def extractParamMap(): ParamMap

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    Definition Classes
    Params

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

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    Definition Classes
    Params

  17. def finalize(): Unit

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

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

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    Definition Classes
    Params

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

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    Definition Classes
    AnyRef → Any

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

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    Definition Classes
    Params

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

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    Params

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

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    Definition Classes
    Params

  23. final def getSeed: Long

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    Definition Classes
    HasSeed

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

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    Definition Classes
    Params

  25. def hasParam(paramName: String): Boolean

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    Definition Classes
    Params

  26. def hasParent: Boolean

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    Definition Classes
    Model

  27. def hashCode(): Int

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    Definition Classes
    AnyRef → Any

  28. def initializeLogIfNecessary(isInterpreter: Boolean): Unit

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    Attributes
    protected
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    Logging

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

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    Params

  30. final def isInstanceOf[T0]: Boolean

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    Any

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

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    Definition Classes
    Params

  32. def isTraceEnabled(): Boolean

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    Attributes
    protected
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    Logging

  33. val labelColumn: Param[String]

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    Definition Classes
    SamplerParams

  34. def log: Logger

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    Attributes
    protected
    Definition Classes
    Logging

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

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    Attributes
    protected
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    Logging

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

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    Logging

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

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    Logging

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

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    Logging

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

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    Logging

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

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    Logging

  41. def logName: String

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    protected
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    Logging

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

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    protected
    Definition Classes
    Logging

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

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    Attributes
    protected
    Definition Classes
    Logging

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

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    Attributes
    protected
    Definition Classes
    Logging

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

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    Attributes
    protected
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    Logging

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

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    Definition Classes
    AnyRef

  47. final def notify(): Unit

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    Definition Classes
    AnyRef

  48. final def notifyAll(): Unit

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    Definition Classes
    AnyRef

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

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    Definition Classes
    Params

  50. var parent: Estimator[SamplingTransformer]

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    Definition Classes
    Model

  51. val percentage: DoubleParam

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    Definition Classes
    SamplerParams

  52. val safePositive: BooleanParam

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    Definition Classes
    SamplerParams

  53. def save(path: String): Unit

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

  54. final val seed: LongParam

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    Definition Classes
    HasSeed

  55. final def set(paramPair: ParamPair[_]): SamplingTransformer.this.type

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    Attributes
    protected
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    Params

  56. final def set(param: String, value: Any): SamplingTransformer.this.type

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    Params

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

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    Definition Classes
    Params

  58. final def setDefault(paramPairs: ParamPair[_]*): SamplingTransformer.this.type

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    Params

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

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    Params

  60. def setLabelColumn(value: String): SamplingTransformer.this.type

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    Definition Classes
    SamplerParams

  61. def setParent(parent: Estimator[SamplingTransformer]): SamplingTransformer

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    Definition Classes
    Model

  62. def setPercentage(value: Double): SamplingTransformer.this.type

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    Definition Classes
    SamplerParams

  63. def setSafePositive(value: Boolean): SamplingTransformer.this.type

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    Definition Classes
    SamplerParams

  64. def setWithReplacement(value: Boolean): SamplingTransformer.this.type

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    Definition Classes
    SamplerParams

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

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    Definition Classes
    AnyRef

  66. def toString(): String

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    Definition Classes
    Identifiable → AnyRef → Any

  67. def transform(dataset: Dataset[_]): DataFrame

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    Definition Classes
    SamplingTransformer → Transformer

  68. def transform(dataset: Dataset[_], paramMap: ParamMap): DataFrame

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    Definition Classes
    Transformer
    Annotations
    @Since( "2.0.0" )

  69. def transform(dataset: Dataset[_], firstParamPair: ParamPair[_], otherParamPairs: ParamPair[_]*): DataFrame

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

  70. def transformSchema(schema: StructType): StructType

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    Definition Classes
    SamplingTransformer → PipelineStage
    Annotations
    @DeveloperApi()

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

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    Attributes
    protected
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    PipelineStage
    Annotations
    @DeveloperApi()

  72. val uid: String

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    Definition Classes
    SamplingTransformer → Identifiable

  73. final def wait(): Unit

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

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

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

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

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

  76. val withReplacement: BooleanParam

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    Definition Classes
    SamplerParams

  77. def write: MLWriter

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    Definition Classes
    DefaultParamsWritable → MLWritable

Inherited from SamplerParams

Inherited from DefaultParamsWritable

Inherited from MLWritable

Inherited from HasSeed

Inherited from Model[SamplingTransformer]

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

Ungrouped