Class/Object

com.microsoft.ml.spark

IndexToValue

Related Docs: object IndexToValue | package spark

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class IndexToValue extends Transformer with HasInputCol with HasOutputCol with Wrappable with DefaultParamsWritable

This class takes in a categorical column with MML style attibutes and then transforms it back to the original values. This extends MLLIB IndexToString by allowing the transformation back to any types of values.

Linear Supertypes
DefaultParamsWritable, MLWritable, HasOutputCol, HasInputCol, Wrappable, Transformer, PipelineStage, org.apache.spark.internal.Logging, Params, Serializable, Serializable, Identifiable, AnyRef, Any
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Inherited
  1. IndexToValue
  2. DefaultParamsWritable
  3. MLWritable
  4. HasOutputCol
  5. HasInputCol
  6. Wrappable
  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 IndexToValue()

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

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    Definition Classes
    IndexToValue → 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. final def eq(arg0: AnyRef): Boolean

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    Definition Classes
    AnyRef
  12. def equals(arg0: Any): Boolean

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    Definition Classes
    AnyRef → Any
  13. def explainParam(param: Param[_]): String

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    Definition Classes
    Params
  14. def explainParams(): String

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    Definition Classes
    Params
  15. final def extractParamMap(): ParamMap

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    Definition Classes
    Params
  16. final def extractParamMap(extra: ParamMap): ParamMap

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    Definition Classes
    Params
  17. def finalize(): Unit

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    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( classOf[java.lang.Throwable] )
  18. final def get[T](param: Param[T]): Option[T]

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    Definition Classes
    Params
  19. final def getClass(): Class[_]

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    Definition Classes
    AnyRef → Any
  20. final def getDefault[T](param: Param[T]): Option[T]

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    Definition Classes
    Params
  21. def getInputCol: String

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    Definition Classes
    HasInputCol
  22. def getLevelUDF[T](dataset: Dataset[_])(implicit arg0: scala.reflect.api.JavaUniverse.TypeTag[T], ct: ClassTag[T]): UserDefinedFunction

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

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    Definition Classes
    Params
  24. def getOutputCol: String

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

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    Definition Classes
    Params
  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. val inputCol: Param[String]

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    The name of the input column

    The name of the input column

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

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    Definition Classes
    Params
  33. final def isInstanceOf[T0]: Boolean

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

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    Definition Classes
    Params
  35. def isTraceEnabled(): Boolean

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    Attributes
    protected
    Definition Classes
    Logging
  36. def log: Logger

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    Attributes
    protected
    Definition Classes
    Logging
  37. def logDebug(msg: ⇒ String, throwable: Throwable): Unit

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    Attributes
    protected
    Definition Classes
    Logging
  38. def logDebug(msg: ⇒ String): Unit

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    Attributes
    protected
    Definition Classes
    Logging
  39. def logError(msg: ⇒ String, throwable: Throwable): Unit

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    Attributes
    protected
    Definition Classes
    Logging
  40. def logError(msg: ⇒ String): Unit

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    Attributes
    protected
    Definition Classes
    Logging
  41. def logInfo(msg: ⇒ String, throwable: Throwable): Unit

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    Attributes
    protected
    Definition Classes
    Logging
  42. def logInfo(msg: ⇒ String): Unit

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    Attributes
    protected
    Definition Classes
    Logging
  43. def logName: String

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    Attributes
    protected
    Definition Classes
    Logging
  44. def logTrace(msg: ⇒ String, throwable: Throwable): Unit

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    Attributes
    protected
    Definition Classes
    Logging
  45. def logTrace(msg: ⇒ String): Unit

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    Attributes
    protected
    Definition Classes
    Logging
  46. def logWarning(msg: ⇒ String, throwable: Throwable): Unit

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    Attributes
    protected
    Definition Classes
    Logging
  47. def logWarning(msg: ⇒ String): Unit

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    Attributes
    protected
    Definition Classes
    Logging
  48. final def ne(arg0: AnyRef): Boolean

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    Definition Classes
    AnyRef
  49. final def notify(): Unit

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    Definition Classes
    AnyRef
  50. final def notifyAll(): Unit

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    Definition Classes
    AnyRef
  51. val outputCol: Param[String]

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    The name of the output column

    The name of the output column

    Definition Classes
    HasOutputCol
  52. lazy val params: Array[Param[_]]

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    Definition Classes
    Params
  53. def save(path: String): Unit

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    Definition Classes
    MLWritable
    Annotations
    @Since( "1.6.0" ) @throws( ... )
  54. final def set(paramPair: ParamPair[_]): IndexToValue.this.type

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    Attributes
    protected
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    Params
  55. final def set(param: String, value: Any): IndexToValue.this.type

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    Attributes
    protected
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    Params
  56. final def set[T](param: Param[T], value: T): IndexToValue.this.type

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    Definition Classes
    Params
  57. final def setDefault(paramPairs: ParamPair[_]*): IndexToValue.this.type

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    Attributes
    protected
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    Params
  58. final def setDefault[T](param: Param[T], value: T): IndexToValue.this.type

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    Attributes
    protected
    Definition Classes
    Params
  59. def setInputCol(value: String): IndexToValue.this.type

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    Definition Classes
    HasInputCol
  60. def setOutputCol(value: String): IndexToValue.this.type

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    Definition Classes
    HasOutputCol
  61. final def synchronized[T0](arg0: ⇒ T0): T0

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    Definition Classes
    AnyRef
  62. def toString(): String

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    Definition Classes
    Identifiable → AnyRef → Any
  63. def transform(dataset: Dataset[_]): DataFrame

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    dataset

    - The input dataset, to be transformed

    returns

    The DataFrame that results from column selection

    Definition Classes
    IndexToValue → Transformer
  64. def transform(dataset: Dataset[_], paramMap: ParamMap): DataFrame

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    Definition Classes
    Transformer
    Annotations
    @Since( "2.0.0" )
  65. def transform(dataset: Dataset[_], firstParamPair: ParamPair[_], otherParamPairs: ParamPair[_]*): DataFrame

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    Definition Classes
    Transformer
    Annotations
    @Since( "2.0.0" ) @varargs()
  66. def transformSchema(schema: StructType): StructType

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    Definition Classes
    IndexToValue → PipelineStage
  67. def transformSchema(schema: StructType, logging: Boolean): StructType

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    Attributes
    protected
    Definition Classes
    PipelineStage
    Annotations
    @DeveloperApi()
  68. val uid: String

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    Definition Classes
    IndexToValue → Identifiable
  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 DefaultParamsWritable

Inherited from MLWritable

Inherited from HasOutputCol

Inherited from HasInputCol

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