org.apache.spark.ml.odkl.UnwrappedStage

DynamicPartitionerTrainer

class DynamicPartitionerTrainer[M <: ModelWithSummary[M]] extends Estimator[IdentityModelTransformer[M]] with DefaultParamsWritable with PartitioningParams

In case if number of partitions is not known upfront, you can use dynamic partitioner to split into partitions of predefined size (approximatelly).

Linear Supertypes
PartitioningParams, HasSortByColumns, DefaultParamsWritable, MLWritable, Estimator[IdentityModelTransformer[M]], PipelineStage, Logging, Params, Serializable, Serializable, Identifiable, AnyRef, Any
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Inherited
  1. DynamicPartitionerTrainer
  2. PartitioningParams
  3. HasSortByColumns
  4. DefaultParamsWritable
  5. MLWritable
  6. Estimator
  7. PipelineStage
  8. Logging
  9. Params
  10. Serializable
  11. Serializable
  12. Identifiable
  13. AnyRef
  14. Any
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Instance Constructors

  1. new DynamicPartitionerTrainer()

  2. new DynamicPartitionerTrainer(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[_]): DynamicPartitionerTrainer.this.type

    Definition Classes
    Params

  9. def clone(): AnyRef

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

  10. def copy(extra: ParamMap): DynamicPartitionerTrainer[M]

    Definition Classes
    DynamicPartitionerTrainer → 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. def explainParam(param: Param[_]): String

    Definition Classes
    Params

  16. def explainParams(): String

    Definition Classes
    Params

  17. final def extractParamMap(): ParamMap

    Definition Classes
    Params

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

    Definition Classes
    Params

  19. def finalize(): Unit

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

  20. def fit(dataset: DataFrame): IdentityModelTransformer[M]

    Definition Classes
    DynamicPartitionerTrainer → Estimator

  21. def fit(dataset: DataFrame, paramMaps: Array[ParamMap]): Seq[IdentityModelTransformer[M]]

    Definition Classes
    Estimator

  22. def fit(dataset: DataFrame, paramMap: ParamMap): IdentityModelTransformer[M]

    Definition Classes
    Estimator

  23. def fit(dataset: DataFrame, firstParamPair: ParamPair[_], otherParamPairs: ParamPair[_]*): IdentityModelTransformer[M]

    Definition Classes
    Estimator
    Annotations
    @varargs()

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

    Definition Classes
    Params

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

    Definition Classes
    AnyRef → Any

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

    Definition Classes
    Params

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

    Definition Classes
    Params

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

    Definition Classes
    Params

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

    Definition Classes
    Params

  30. def hasParam(paramName: String): Boolean

    Definition Classes
    Params

  31. def hashCode(): Int

    Definition Classes
    AnyRef → Any

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

    Definition Classes
    Params

  33. final def isInstanceOf[T0]: Boolean

    Definition Classes
    Any

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

    Definition Classes
    Params

  35. def isTraceEnabled(): Boolean

    Attributes
    protected
    Definition Classes
    Logging

  36. def log: Logger

    Attributes
    protected
    Definition Classes
    Logging

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

    Attributes
    protected
    Definition Classes
    Logging

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

    Attributes
    protected
    Definition Classes
    Logging

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

    Attributes
    protected
    Definition Classes
    Logging

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

    Attributes
    protected
    Definition Classes
    Logging

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

    Attributes
    protected
    Definition Classes
    Logging

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

    Attributes
    protected
    Definition Classes
    Logging

  43. def logName: String

    Attributes
    protected
    Definition Classes
    Logging

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

    Attributes
    protected
    Definition Classes
    Logging

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

    Attributes
    protected
    Definition Classes
    Logging

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

    Attributes
    protected
    Definition Classes
    Logging

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

    Attributes
    protected
    Definition Classes
    Logging

  48. val maxPartitions: Param[Int]

  49. val minPartitions: Param[Int]

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

    Definition Classes
    AnyRef

  51. final def notify(): Unit

    Definition Classes
    AnyRef

  52. final def notifyAll(): Unit

    Definition Classes
    AnyRef

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

    Definition Classes
    Params

  54. val partitionBy: StringArrayParam

    Definition Classes
    PartitioningParams

  55. val recordsPerPartition: Param[Long]

  56. def save(path: String): Unit

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

  57. final def set(paramPair: ParamPair[_]): DynamicPartitionerTrainer.this.type

    Attributes
    protected
    Definition Classes
    Params

  58. final def set(param: String, value: Any): DynamicPartitionerTrainer.this.type

    Attributes
    protected
    Definition Classes
    Params

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

    Definition Classes
    Params

  60. final def setDefault(paramPairs: ParamPair[_]*): DynamicPartitionerTrainer.this.type

    Attributes
    protected
    Definition Classes
    Params

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

    Attributes
    protected
    Definition Classes
    Params

  62. def setMaxPartitions(value: Int): DynamicPartitionerTrainer.this.type

  63. def setMinPartitions(value: Int): DynamicPartitionerTrainer.this.type

  64. def setPartitionBy(columns: String*): DynamicPartitionerTrainer.this.type

    Definition Classes
    PartitioningParams

  65. def setRecordsPerPartition(value: Long): DynamicPartitionerTrainer.this.type

  66. def setSortBy(columns: String*): DynamicPartitionerTrainer.this.type

    Definition Classes
    PartitioningParams

  67. def setSortByColumns(columns: String*): DynamicPartitionerTrainer.this.type

    Definition Classes
    HasSortByColumns

  68. val sortBy: StringArrayParam

    Definition Classes
    PartitioningParams

  69. final val sortByColumns: StringArrayParam

    Definition Classes
    HasSortByColumns

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

    Definition Classes
    AnyRef

  71. def toString(): String

    Definition Classes
    Identifiable → AnyRef → Any

  72. def transformSchema(schema: StructType): StructType

    Definition Classes
    DynamicPartitionerTrainer → PipelineStage
    Annotations
    @DeveloperApi()

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

    Attributes
    protected
    Definition Classes
    PipelineStage
    Annotations
    @DeveloperApi()

  74. val uid: String

    Definition Classes
    DynamicPartitionerTrainer → Identifiable

  75. def validateParams(): Unit

    Definition Classes
    Params

  76. final def wait(): Unit

    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

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

    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

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

    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

  79. def write: MLWriter

    Definition Classes
    DefaultParamsWritable → MLWritable

Inherited from PartitioningParams

Inherited from HasSortByColumns

Inherited from DefaultParamsWritable

Inherited from MLWritable

Inherited from Estimator[IdentityModelTransformer[M]]

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