org.apache.spark.ml.odkl.UnwrappedStage

DynamicDownsamplerTrainer

class DynamicDownsamplerTrainer extends Estimator[SamplingTransformer] with SamplerParams

For training a model on data set of uncertain size ads an ability to downsample it to a pre-defined size (approximatelly).

Linear Supertypes
SamplerParams, DefaultParamsWritable, MLWritable, HasSeed, Estimator[SamplingTransformer], PipelineStage, Logging, Params, Serializable, Serializable, Identifiable, AnyRef, Any
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Inherited
  1. DynamicDownsamplerTrainer
  2. SamplerParams
  3. DefaultParamsWritable
  4. MLWritable
  5. HasSeed
  6. Estimator
  7. PipelineStage
  8. Logging
  9. Params
  10. Serializable
  11. Serializable
  12. Identifiable
  13. AnyRef
  14. Any
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Visibility
  1. Public
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Instance Constructors

  1. new DynamicDownsamplerTrainer()

  2. new DynamicDownsamplerTrainer(uid: String)

Value Members

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

    Definition Classes
    AnyRef

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

    Definition Classes
    Any

  3. final def ##(): Int

    Definition Classes
    AnyRef → Any

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

    Attributes
    protected
    Definition Classes
    Params

  5. final def ==(arg0: AnyRef): Boolean

    Definition Classes
    AnyRef

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

    Definition Classes
    Any

  7. final def asInstanceOf[T0]: T0

    Definition Classes
    Any

  8. final def clear(param: Param[_]): DynamicDownsamplerTrainer.this.type

    Definition Classes
    Params

  9. def clone(): AnyRef

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

  10. def copy(extra: ParamMap): DynamicDownsamplerTrainer

    Definition Classes
    DynamicDownsamplerTrainer → Estimator → PipelineStage → Params

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

    Attributes
    protected
    Definition Classes
    Params

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

    Attributes
    protected
    Definition Classes
    Params

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

    Definition Classes
    AnyRef

  14. def equals(arg0: Any): Boolean

    Definition Classes
    AnyRef → Any

  15. val expectedRecords: Param[Long]

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

  21. def fit(dataset: DataFrame): SamplingTransformer

    Definition Classes
    DynamicDownsamplerTrainer → Estimator

  22. def fit(dataset: DataFrame, paramMaps: Array[ParamMap]): Seq[SamplingTransformer]

    Definition Classes
    Estimator

  23. def fit(dataset: DataFrame, paramMap: ParamMap): SamplingTransformer

    Definition Classes
    Estimator

  24. def fit(dataset: DataFrame, firstParamPair: ParamPair[_], otherParamPairs: ParamPair[_]*): SamplingTransformer

    Definition Classes
    Estimator
    Annotations
    @varargs()

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

    Definition Classes
    Params

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

    Definition Classes
    AnyRef → Any

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

    Definition Classes
    Params

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

    Definition Classes
    Params

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

    Definition Classes
    Params

  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

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

    Definition Classes
    Params

  35. final def isInstanceOf[T0]: Boolean

    Definition Classes
    Any

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

    Definition Classes
    Params

  37. def isTraceEnabled(): Boolean

    Attributes
    protected
    Definition Classes
    Logging

  38. val labelColumn: Param[String]

    Definition Classes
    SamplerParams

  39. def log: Logger

    Attributes
    protected
    Definition Classes
    Logging

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

    Attributes
    protected
    Definition Classes
    Logging

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

    Attributes
    protected
    Definition Classes
    Logging

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

    Attributes
    protected
    Definition Classes
    Logging

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

    Attributes
    protected
    Definition Classes
    Logging

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

    Attributes
    protected
    Definition Classes
    Logging

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

    Attributes
    protected
    Definition Classes
    Logging

  46. def logName: String

    Attributes
    protected
    Definition Classes
    Logging

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

    Attributes
    protected
    Definition Classes
    Logging

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

    Attributes
    protected
    Definition Classes
    Logging

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

    Attributes
    protected
    Definition Classes
    Logging

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

    Attributes
    protected
    Definition Classes
    Logging

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

    Definition Classes
    AnyRef

  52. final def notify(): Unit

    Definition Classes
    AnyRef

  53. final def notifyAll(): Unit

    Definition Classes
    AnyRef

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

    Definition Classes
    Params

  55. val percentage: DoubleParam

    Definition Classes
    SamplerParams

  56. val safePositive: BooleanParam

    Definition Classes
    SamplerParams

  57. def save(path: String): Unit

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

  58. final val seed: LongParam

    Definition Classes
    HasSeed

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

    Attributes
    protected
    Definition Classes
    Params

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

    Attributes
    protected
    Definition Classes
    Params

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

    Definition Classes
    Params

  62. final def setDefault(paramPairs: ParamPair[_]*): DynamicDownsamplerTrainer.this.type

    Attributes
    protected
    Definition Classes
    Params

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

    Attributes
    protected
    Definition Classes
    Params

  64. def setExpectedRecords(value: Long): DynamicDownsamplerTrainer.this.type

  65. def setLabelColumn(value: String): DynamicDownsamplerTrainer.this.type

    Definition Classes
    SamplerParams

  66. def setPercentage(value: Double): DynamicDownsamplerTrainer.this.type

    Definition Classes
    SamplerParams

  67. def setSafePositive(value: Boolean): DynamicDownsamplerTrainer.this.type

    Definition Classes
    SamplerParams

  68. def setWithReplacement(value: Boolean): DynamicDownsamplerTrainer.this.type

    Definition Classes
    SamplerParams

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

    Definition Classes
    AnyRef

  70. def toString(): String

    Definition Classes
    Identifiable → AnyRef → Any

  71. def transformSchema(schema: StructType): StructType

    Definition Classes
    DynamicDownsamplerTrainer → PipelineStage
    Annotations
    @DeveloperApi()

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

    Attributes
    protected
    Definition Classes
    PipelineStage
    Annotations
    @DeveloperApi()

  73. val uid: String

    Definition Classes
    DynamicDownsamplerTrainer → Identifiable

  74. def validateParams(): Unit

    Definition Classes
    Params

  75. final def wait(): Unit

    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

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

    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

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

    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

  78. val withReplacement: BooleanParam

    Definition Classes
    SamplerParams

  79. def write: MLWriter

    Definition Classes
    DefaultParamsWritable → MLWritable

Inherited from SamplerParams

Inherited from DefaultParamsWritable

Inherited from MLWritable

Inherited from HasSeed

Inherited from Estimator[SamplingTransformer]

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