Class/Object

com.microsoft.ml.spark

CheckpointData

Related Docs: object CheckpointData | package spark

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class CheckpointData extends Transformer with CheckpointDataParams

Cache the dataset at this point to memory or memory and disk

Linear Supertypes
CheckpointDataParams, DefaultParamsWritable, MLWritable, Wrappable, Transformer, PipelineStage, org.apache.spark.internal.Logging, Params, Serializable, Serializable, Identifiable, AnyRef, Any
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Inherited
  1. CheckpointData
  2. CheckpointDataParams
  3. DefaultParamsWritable
  4. MLWritable
  5. Wrappable
  6. Transformer
  7. PipelineStage
  8. Logging
  9. Params
  10. Serializable
  11. Serializable
  12. Identifiable
  13. AnyRef
  14. Any
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Visibility
  1. Public
  2. All

Instance Constructors

  1. new CheckpointData()

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  2. new CheckpointData(uid: String)

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    uid

    The id of the module

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[_]): CheckpointData.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): CheckpointData

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    Definition Classes
    CheckpointData → Transformer → PipelineStage → Params

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

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    Attributes
    protected
    Definition Classes
    Params

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

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    Attributes
    protected
    Definition Classes
    Params

  11. val diskIncluded: BooleanParam

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    Persist to disk as well as memory.

    Persist to disk as well as memory. Storage level is MEMORY_AND_DISK if true, else MEMORY_ONLY. Default is false (MEMORY_ONLY)

    Definition Classes
    CheckpointDataParams

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

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    Definition Classes
    Params

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

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    Definition Classes
    AnyRef → Any

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

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    Definition Classes
    Params

  22. final def getDiskIncluded: Boolean

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    Definition Classes
    CheckpointDataParams

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

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    Definition Classes
    Params

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

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    Definition Classes
    Params

  25. final def getRemoveCheckpoint: Boolean

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    Definition Classes
    CheckpointDataParams

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

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    Definition Classes
    Params

  27. def hasParam(paramName: String): Boolean

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    Definition Classes
    Params

  28. def hashCode(): Int

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    Definition Classes
    AnyRef → Any

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

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    Attributes
    protected
    Definition Classes
    Logging

  30. def initializeLogIfNecessary(isInterpreter: Boolean): Unit

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    Attributes
    protected
    Definition Classes
    Logging

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

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    Definition Classes
    Params

  32. final def isInstanceOf[T0]: Boolean

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    Definition Classes
    Any

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

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    Definition Classes
    Params

  34. def isTraceEnabled(): Boolean

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    Attributes
    protected
    Definition Classes
    Logging

  35. def log: Logger

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    Attributes
    protected
    Definition Classes
    Logging

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

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    Attributes
    protected
    Definition Classes
    Logging

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

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    Attributes
    protected
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    Logging

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

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    protected
    Definition Classes
    Logging

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

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    protected
    Definition Classes
    Logging

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

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    protected
    Definition Classes
    Logging

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

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    Attributes
    protected
    Definition Classes
    Logging

  42. def logName: String

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    Attributes
    protected
    Definition Classes
    Logging

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

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    Attributes
    protected
    Definition Classes
    Logging

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

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    Attributes
    protected
    Definition Classes
    Logging

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

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    Attributes
    protected
    Definition Classes
    Logging

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

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    Attributes
    protected
    Definition Classes
    Logging

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

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    Definition Classes
    AnyRef

  48. final def notify(): Unit

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    Definition Classes
    AnyRef

  49. final def notifyAll(): Unit

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    Definition Classes
    AnyRef

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

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    Definition Classes
    Params

  51. val removeCheckpoint: BooleanParam

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    Reverse the cache operatation; unpersist a cached dataset.

    Reverse the cache operatation; unpersist a cached dataset. Default is false

    Definition Classes
    CheckpointDataParams

  52. def save(path: String): Unit

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

  53. final def set(paramPair: ParamPair[_]): CheckpointData.this.type

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    Attributes
    protected
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    Params

  54. final def set(param: String, value: Any): CheckpointData.this.type

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    Attributes
    protected
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    Params

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

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    Definition Classes
    Params

  56. final def setDefault(paramPairs: ParamPair[_]*): CheckpointData.this.type

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    Attributes
    protected
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    Params

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

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    Attributes
    protected
    Definition Classes
    Params

  58. def setDiskIncluded(value: Boolean): CheckpointData.this.type

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    Definition Classes
    CheckpointDataParams

  59. def setRemoveCheckpoint(value: Boolean): CheckpointData.this.type

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    Definition Classes
    CheckpointDataParams

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

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    Definition Classes
    AnyRef

  61. def toString(): String

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    Definition Classes
    Identifiable → AnyRef → Any

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

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    Apply the transform to the dataset to persist or unpersist the data

    Apply the transform to the dataset to persist or unpersist the data

    returns

    dataset

    Definition Classes
    CheckpointData → Transformer

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

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    Definition Classes
    Transformer
    Annotations
    @Since( "2.0.0" )

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

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

  65. def transformSchema(schema: StructType): StructType

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    Transform the schema

    Transform the schema

    returns

    new schema

    Definition Classes
    CheckpointData → PipelineStage

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

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    Attributes
    protected
    Definition Classes
    PipelineStage
    Annotations
    @DeveloperApi()

  67. val uid: String

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    The id of the module

    The id of the module

    Definition Classes
    CheckpointData → Identifiable

  68. def validateAndTransformSchema(schema: StructType): StructType

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    Attributes
    protected
    Definition Classes
    CheckpointDataParams

  69. final def wait(): Unit

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

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

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

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

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

  72. def write: MLWriter

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    Definition Classes
    DefaultParamsWritable → MLWritable

Inherited from CheckpointDataParams

Inherited from DefaultParamsWritable

Inherited from MLWritable

Inherited from Wrappable

Inherited from Transformer

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