Class

org.apache.spark.ml.odkl

VectorStatCollector

Related Doc: package odkl

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class VectorStatCollector extends Transformer with HasInputCol with HasGroupByColumns with DefaultParamsWritable

Utility used to collect detailed stat for vectors grouped by a certain keys. In addition to common stuff (mean, variance, min/max, norms) calculates percentiles as configured. Resulting dataframe contains only columns from the key and stat columns.

Linear Supertypes
DefaultParamsWritable, MLWritable, HasGroupByColumns, HasInputCol, Transformer, PipelineStage, Logging, Params, Serializable, Serializable, Identifiable, AnyRef, Any
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Inherited
  1. VectorStatCollector
  2. DefaultParamsWritable
  3. MLWritable
  4. HasGroupByColumns
  5. HasInputCol
  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 VectorStatCollector()

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  2. new VectorStatCollector(uid: String)

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Value Members

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

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    Definition Classes
    AnyRef → Any

  2. final def ##(): Int

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

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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 def clear(param: Param[_]): VectorStatCollector.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. val compression: IntParam

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  9. def copy(extra: ParamMap): Transformer

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    Definition Classes
    VectorStatCollector → 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 def defaultCopy[T <: Params](extra: ParamMap): T

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    Params

  12. val dimensions: IntParam

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

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    Definition Classes
    Params

  16. def explainParams(): String

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    Definition Classes
    Params

  17. final def extractParamMap(): ParamMap

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    Params

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

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    Params

  19. def finalize(): Unit

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    protected[java.lang]
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    @throws( classOf[java.lang.Throwable] )

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

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

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

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    Definition Classes
    Params

  23. final def getInputCol: String

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    Definition Classes
    HasInputCol

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

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    Definition Classes
    Params

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

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    Definition Classes
    Params

  26. final val groupByColumns: StringArrayParam

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    Definition Classes
    HasGroupByColumns

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

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    Params

  28. def hasParam(paramName: String): Boolean

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    Params

  29. def hashCode(): Int

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    AnyRef → Any

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

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    Logging

  31. def initializeLogIfNecessary(isInterpreter: Boolean): Unit

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    Logging

  32. final val inputCol: Param[String]

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    Definition Classes
    HasInputCol

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

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    Params

  34. final def isInstanceOf[T0]: Boolean

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    Any

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

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    Params

  36. def isTraceEnabled(): Boolean

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    Logging

  37. def log: Logger

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    Logging

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

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    Logging

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

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

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

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

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

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  44. def logName: String

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    Logging

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

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    Logging

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

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    Logging

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

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    Logging

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

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    protected
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    Logging

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

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  50. final def notify(): Unit

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  51. final def notifyAll(): Unit

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  52. val numPartitions: IntParam

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  53. val numShufflePartitions: IntParam

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

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    Definition Classes
    Params

  55. val percentiles: DoubleArrayParam

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  56. def save(path: String): Unit

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

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

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

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

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  60. def setCompression(value: Int): VectorStatCollector.this.type

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  61. final def setDefault(paramPairs: ParamPair[_]*): VectorStatCollector.this.type

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

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  63. def setDimensions(value: Int): VectorStatCollector.this.type

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  64. def setGroupByColumns(columns: String*): VectorStatCollector.this.type

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    Definition Classes
    HasGroupByColumns

  65. def setInputCol(column: String): VectorStatCollector.this.type

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  66. def setNumPartitions(value: Int): VectorStatCollector.this.type

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  67. def setNumShufflePartitions(value: Int): VectorStatCollector.this.type

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  68. def setPercentiles(value: Array[Double]): VectorStatCollector.this.type

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

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    AnyRef

  70. def toString(): String

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    Identifiable → AnyRef → Any

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

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    Definition Classes
    VectorStatCollector → Transformer

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

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    Definition Classes
    Transformer
    Annotations
    @Since( "2.0.0" )

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

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

  74. def transformSchema(schema: StructType): StructType

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    Definition Classes
    VectorStatCollector → PipelineStage
    Annotations
    @DeveloperApi()

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

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    Attributes
    protected
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    PipelineStage
    Annotations
    @DeveloperApi()

  76. val uid: String

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    Definition Classes
    VectorStatCollector → Identifiable

  77. final def wait(): Unit

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    @throws( ... )

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

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

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  80. def write: MLWriter

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    Definition Classes
    DefaultParamsWritable → MLWritable

Inherited from DefaultParamsWritable

Inherited from MLWritable

Inherited from HasGroupByColumns

Inherited from HasInputCol

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

Ungrouped