Class/Object

com.microsoft.ml.spark

SummarizeData

Related Docs: object SummarizeData | package spark

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class SummarizeData extends Transformer with SummarizeDataParams

Compute summary statistics for the dataset. The following statistics are computed: - counts - basic - sample - percentiles - errorThreshold - error threshold for quantiles

Linear Supertypes
SummarizeDataParams, DefaultParamsWritable, MLWritable, Wrappable, Transformer, PipelineStage, org.apache.spark.internal.Logging, Params, Serializable, Serializable, Identifiable, AnyRef, Any
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Inherited
  1. SummarizeData
  2. SummarizeDataParams
  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
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Instance Constructors

  1. new SummarizeData()

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  2. new SummarizeData(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
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    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 val basic: BooleanParam

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    Compute basic statistics.

    Compute basic statistics. Default is true.

    Definition Classes
    SummarizeDataParams

  7. final def clear(param: Param[_]): SummarizeData.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): SummarizeData

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    Definition Classes
    SummarizeData → Transformer → PipelineStage → Params

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

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    Attributes
    protected
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    Params

  11. final val counts: BooleanParam

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    Compute count statistics.

    Compute count statistics. Default is true.

    Definition Classes
    SummarizeDataParams

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

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    Attributes
    protected
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    Params

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

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    Definition Classes
    AnyRef

  14. def equals(arg0: Any): Boolean

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    Definition Classes
    AnyRef → Any

  15. final val errorThreshold: DoubleParam

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    Threshold for quantiles - 0 is exact

    Threshold for quantiles - 0 is exact

    Definition Classes
    SummarizeDataParams

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

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    Definition Classes
    Params

  17. def explainParams(): String

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    Definition Classes
    Params

  18. final def extractParamMap(): ParamMap

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

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    Params

  20. def finalize(): Unit

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

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

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    Definition Classes
    Params

  22. final def getBasic: Boolean

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    Definition Classes
    SummarizeDataParams

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

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    Definition Classes
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  24. final def getCounts: Boolean

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    Definition Classes
    SummarizeDataParams

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

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    Definition Classes
    Params

  26. final def getErrorThreshold: Double

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    Definition Classes
    SummarizeDataParams

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

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    Definition Classes
    Params

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

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    Definition Classes
    Params

  29. final def getPercentiles: Boolean

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    Definition Classes
    SummarizeDataParams

  30. final def getSample: Boolean

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    Definition Classes
    SummarizeDataParams

  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
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    Logging

  35. def initializeLogIfNecessary(isInterpreter: Boolean): Unit

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    Logging

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

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  37. final def isInstanceOf[T0]: Boolean

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

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  39. def isTraceEnabled(): Boolean

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    Attributes
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    Logging

  40. def log: Logger

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    Logging

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

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    Logging

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

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    Logging

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

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    Logging

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

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    Logging

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

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    Logging

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

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    Logging

  47. def logName: String

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    Logging

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

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    Logging

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

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    Logging

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

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    Logging

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

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    Logging

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

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    Definition Classes
    AnyRef

  53. final def notify(): Unit

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  54. final def notifyAll(): Unit

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

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    Definition Classes
    Params

  56. final val percentiles: BooleanParam

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    Compute percentiles.

    Compute percentiles. Default is true

    Definition Classes
    SummarizeDataParams

  57. final val sample: BooleanParam

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    Compute sample statistics.

    Compute sample statistics. Default is true.

    Definition Classes
    SummarizeDataParams

  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[_]): SummarizeData.this.type

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

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

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    Definition Classes
    Params

  62. def setBasic(value: Boolean): SummarizeData.this.type

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    Definition Classes
    SummarizeDataParams

  63. def setCounts(value: Boolean): SummarizeData.this.type

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    Definition Classes
    SummarizeDataParams

  64. final def setDefault(paramPairs: ParamPair[_]*): SummarizeData.this.type

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

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  66. def setErrorThreshold(value: Double): SummarizeData.this.type

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    Definition Classes
    SummarizeDataParams

  67. def setPercentiles(value: Boolean): SummarizeData.this.type

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    Definition Classes
    SummarizeDataParams

  68. def setSample(value: Boolean): SummarizeData.this.type

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    Definition Classes
    SummarizeDataParams

  69. def setStatistics(stats: List[Statistic]): Unit

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

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    Definition Classes
    AnyRef

  71. def toString(): String

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    Identifiable → AnyRef → Any

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

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    Definition Classes
    SummarizeData → Transformer

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

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    Definition Classes
    Transformer
    Annotations
    @Since( "2.0.0" )

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

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

  75. def transformSchema(schema: StructType): StructType

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    Definition Classes
    SummarizeData → PipelineStage

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

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    Attributes
    protected
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    PipelineStage
    Annotations
    @DeveloperApi()

  77. val uid: String

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    The id of the module

    The id of the module

    Definition Classes
    SummarizeData → Identifiable

  78. def validateAndTransformSchema(schema: StructType): StructType

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    Attributes
    protected
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    SummarizeDataParams

  79. final def wait(): Unit

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    @throws( ... )

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

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

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    @throws( ... )

  82. def write: MLWriter

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    Definition Classes
    DefaultParamsWritable → MLWritable

Inherited from SummarizeDataParams

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