Class/Object

com.microsoft.ml.spark.stages

SummarizeData

Related Docs: object SummarizeData | package stages

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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, HasAdditionalPythonMethods, Transformer, PipelineStage, Logging, Params, Serializable, Serializable, Identifiable, AnyRef, Any
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Inherited
  1. SummarizeData
  2. SummarizeDataParams
  3. DefaultParamsWritable
  4. MLWritable
  5. Wrappable
  6. HasAdditionalPythonMethods
  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 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
    Definition Classes
    Params

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

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    Definition Classes
    AnyRef → Any

  5. def additionalPythonMethods(): String

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    Definition Classes
    HasAdditionalPythonMethods

  6. final def asInstanceOf[T0]: T0

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    Definition Classes
    Any

  7. final val basic: BooleanParam

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    Compute basic statistics.

    Compute basic statistics. Default is true.

    Definition Classes
    SummarizeDataParams

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

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    Definition Classes
    Params

  9. def clone(): AnyRef

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

  10. def copy(extra: ParamMap): SummarizeData

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    Definition Classes
    SummarizeData → Transformer → PipelineStage → Params

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

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    Attributes
    protected
    Definition Classes
    Params

  12. final val counts: BooleanParam

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    Compute count statistics.

    Compute count statistics. Default is true.

    Definition Classes
    SummarizeDataParams

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

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    Attributes
    protected
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    Params

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

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    Definition Classes
    AnyRef

  15. def equals(arg0: Any): Boolean

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    Definition Classes
    AnyRef → Any

  16. final val errorThreshold: DoubleParam

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    Threshold for quantiles - 0 is exact

    Threshold for quantiles - 0 is exact

    Definition Classes
    SummarizeDataParams

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

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    Definition Classes
    Params

  18. def explainParams(): String

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    Definition Classes
    Params

  19. final def extractParamMap(): ParamMap

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    Definition Classes
    Params

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

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    Definition Classes
    Params

  21. def finalize(): Unit

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

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

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    Definition Classes
    Params

  23. final def getBasic: Boolean

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    Definition Classes
    SummarizeDataParams

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

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    Definition Classes
    AnyRef → Any

  25. final def getCounts: Boolean

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    Definition Classes
    SummarizeDataParams

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

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    Definition Classes
    Params

  27. final def getErrorThreshold: Double

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    Definition Classes
    SummarizeDataParams

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

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    Definition Classes
    Params

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

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    Definition Classes
    Params

  30. final def getPercentiles: Boolean

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    Definition Classes
    SummarizeDataParams

  31. final def getSample: Boolean

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    Definition Classes
    SummarizeDataParams

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

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    Definition Classes
    Params

  33. def hasParam(paramName: String): Boolean

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    Definition Classes
    Params

  34. def hashCode(): Int

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    Definition Classes
    AnyRef → Any

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

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    Attributes
    protected
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    Logging

  36. def initializeLogIfNecessary(isInterpreter: Boolean): Unit

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    protected
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    Logging

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

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    Params

  38. final def isInstanceOf[T0]: Boolean

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    Any

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

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    Definition Classes
    Params

  40. def isTraceEnabled(): Boolean

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    Attributes
    protected
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    Logging

  41. def log: Logger

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    Attributes
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    Logging

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

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    Attributes
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    Definition Classes
    Logging

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

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    Attributes
    protected
    Definition Classes
    Logging

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

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    Definition Classes
    Logging

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

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    Logging

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

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    Logging

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

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    Attributes
    protected
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    Logging

  48. def logName: String

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    Logging

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

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    Logging

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

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    Logging

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

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    Attributes
    protected
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    Logging

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

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    Attributes
    protected
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    Logging

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

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    Definition Classes
    AnyRef

  54. final def notify(): Unit

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    Definition Classes
    AnyRef

  55. final def notifyAll(): Unit

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    Definition Classes
    AnyRef

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

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    Definition Classes
    Params

  57. final val percentiles: BooleanParam

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    Compute percentiles.

    Compute percentiles. Default is true

    Definition Classes
    SummarizeDataParams

  58. final val sample: BooleanParam

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    Compute sample statistics.

    Compute sample statistics. Default is true.

    Definition Classes
    SummarizeDataParams

  59. def save(path: String): Unit

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

  60. final def set(paramPair: ParamPair[_]): SummarizeData.this.type

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    Attributes
    protected
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    Params

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

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    Attributes
    protected
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    Params

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

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    Definition Classes
    Params

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

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    Definition Classes
    SummarizeDataParams

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

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    Definition Classes
    SummarizeDataParams

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

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    Attributes
    protected
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    Params

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

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    Attributes
    protected
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    Params

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

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    Definition Classes
    SummarizeDataParams

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

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    Definition Classes
    SummarizeDataParams

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

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    Definition Classes
    SummarizeDataParams

  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
    Definition Classes
    SummarizeDataParams

  79. final def wait(): Unit

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    @throws( ... )

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

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    @throws( ... )

  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 HasAdditionalPythonMethods

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

getParam

param

setParam

Ungrouped