Class/Object

com.microsoft.ml.spark

ValueIndexer

Related Docs: object ValueIndexer | package spark

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class ValueIndexer extends Estimator[ValueIndexerModel] with ValueIndexerParams

Fits a dictionary of values from the input column. Model then transforms a column to a categorical column of the given array of values. Similar to StringIndexer except it can be used on any value types.

Linear Supertypes
ValueIndexerParams, HasOutputCol, HasInputCol, DefaultParamsWritable, MLWritable, Wrappable, Estimator[ValueIndexerModel], PipelineStage, org.apache.spark.internal.Logging, Params, Serializable, Serializable, Identifiable, AnyRef, Any
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Inherited
  1. ValueIndexer
  2. ValueIndexerParams
  3. HasOutputCol
  4. HasInputCol
  5. DefaultParamsWritable
  6. MLWritable
  7. Wrappable
  8. Estimator
  9. PipelineStage
  10. Logging
  11. Params
  12. Serializable
  13. Serializable
  14. Identifiable
  15. AnyRef
  16. Any
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Visibility
  1. Public
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Instance Constructors

  1. new ValueIndexer()

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  2. new ValueIndexer(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[_]): ValueIndexer.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): Estimator[ValueIndexerModel]

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    Definition Classes
    ValueIndexer → Estimator → PipelineStage → Params

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

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    Attributes
    protected
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    Params

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

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    Attributes
    protected
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    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. def fit(dataset: Dataset[_]): ValueIndexerModel

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    Fits the dictionary of values from the input column.

    Fits the dictionary of values from the input column.

    dataset

    The input dataset to train.

    returns

    The model for transforming columns to categorical.

    Definition Classes
    ValueIndexer → Estimator

  19. def fit(dataset: Dataset[_], paramMaps: Array[ParamMap]): Seq[ValueIndexerModel]

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    Definition Classes
    Estimator
    Annotations
    @Since( "2.0.0" )

  20. def fit(dataset: Dataset[_], paramMap: ParamMap): ValueIndexerModel

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    Definition Classes
    Estimator
    Annotations
    @Since( "2.0.0" )

  21. def fit(dataset: Dataset[_], firstParamPair: ParamPair[_], otherParamPairs: ParamPair[_]*): ValueIndexerModel

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

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

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    Definition Classes
    Params

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

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    AnyRef → Any

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

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    Definition Classes
    Params

  25. def getInputCol: String

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    Definition Classes
    HasInputCol

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

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    Definition Classes
    Params

  27. def getOutputCol: String

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    Definition Classes
    HasOutputCol

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

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    Definition Classes
    Params

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

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    Definition Classes
    Params

  30. def hasParam(paramName: String): Boolean

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    Definition Classes
    Params

  31. def hashCode(): Int

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    Definition Classes
    AnyRef → Any

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

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    Attributes
    protected
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    Logging

  33. def initializeLogIfNecessary(isInterpreter: Boolean): Unit

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    Attributes
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    Logging

  34. val inputCol: Param[String]

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    The name of the input column

    The name of the input column

    Definition Classes
    HasInputCol

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

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    Definition Classes
    Params

  36. final def isInstanceOf[T0]: Boolean

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    Definition Classes
    Any

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

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    Params

  38. def isTraceEnabled(): Boolean

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    Attributes
    protected
    Definition Classes
    Logging

  39. def log: Logger

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    Attributes
    protected
    Definition Classes
    Logging

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

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    Attributes
    protected
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    Logging

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

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    protected
    Definition Classes
    Logging

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

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    Attributes
    protected
    Definition Classes
    Logging

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

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    protected
    Definition Classes
    Logging

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

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    Logging

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

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    Attributes
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    Logging

  46. def logName: String

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    Logging

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

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    Logging

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

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    Logging

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

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    Attributes
    protected
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    Logging

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

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    Logging

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

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    Definition Classes
    AnyRef

  52. final def notify(): Unit

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    Definition Classes
    AnyRef

  53. final def notifyAll(): Unit

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    AnyRef

  54. val outputCol: Param[String]

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    The name of the output column

    The name of the output column

    Definition Classes
    HasOutputCol

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

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    Definition Classes
    Params

  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[_]): ValueIndexer.this.type

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    protected
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    Params

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

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    protected
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    Params

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

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    Definition Classes
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  60. final def setDefault(paramPairs: ParamPair[_]*): ValueIndexer.this.type

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

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    Params

  62. def setInputCol(value: String): ValueIndexer.this.type

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    Definition Classes
    HasInputCol

  63. def setOutputCol(value: String): ValueIndexer.this.type

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    Definition Classes
    HasOutputCol

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

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    Definition Classes
    AnyRef

  65. def toString(): String

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    Definition Classes
    Identifiable → AnyRef → Any

  66. def transformSchema(schema: StructType): StructType

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    Definition Classes
    ValueIndexer → PipelineStage
    Annotations
    @DeveloperApi()

  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
    ValueIndexer → Identifiable

  69. final def wait(): Unit

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    Definition Classes
    AnyRef
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    @throws( ... )

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

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    AnyRef
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    @throws( ... )

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

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    @throws( ... )

  72. def write: MLWriter

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    Definition Classes
    DefaultParamsWritable → MLWritable

Inherited from ValueIndexerParams

Inherited from HasOutputCol

Inherited from HasInputCol

Inherited from DefaultParamsWritable

Inherited from MLWritable

Inherited from Wrappable

Inherited from Estimator[ValueIndexerModel]

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