Class/Object

com.microsoft.ml.spark.featurize

ValueIndexer

Related Docs: object ValueIndexer | package featurize

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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, 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
  2. All

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. def additionalPythonMethods(): String

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    Definition Classes
    Wrappable

  6. final def asInstanceOf[T0]: T0

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    Definition Classes
    Any

  7. final def clear(param: Param[_]): ValueIndexer.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): Estimator[ValueIndexerModel]

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    Definition Classes
    ValueIndexer → Estimator → PipelineStage → Params

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

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    Attributes
    protected
    Definition Classes
    Params

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

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    Attributes
    protected
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    Params

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

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    Definition Classes
    AnyRef

  13. def equals(arg0: Any): Boolean

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    Definition Classes
    AnyRef → Any

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

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    Definition Classes
    Params

  15. def explainParams(): String

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    Definition Classes
    Params

  16. final def extractParamMap(): ParamMap

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    Definition Classes
    Params

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

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    Definition Classes
    Params

  18. def finalize(): Unit

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

  19. 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

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

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    Definition Classes
    Estimator
    Annotations
    @Since( "2.0.0" )

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

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    Definition Classes
    Estimator
    Annotations
    @Since( "2.0.0" )

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

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

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

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    Definition Classes
    Params

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

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    Definition Classes
    AnyRef → Any

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

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    Definition Classes
    Params

  26. def getInputCol: String

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    Definition Classes
    HasInputCol

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

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    Definition Classes
    Params

  28. def getOutputCol: String

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    Definition Classes
    HasOutputCol

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

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    Definition Classes
    Params

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

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    Definition Classes
    Params

  31. def hasParam(paramName: String): Boolean

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    Definition Classes
    Params

  32. def hashCode(): Int

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    Definition Classes
    AnyRef → Any

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

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    Attributes
    protected
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    Logging

  34. def initializeLogIfNecessary(isInterpreter: Boolean): Unit

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    Attributes
    protected
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    Logging

  35. val inputCol: Param[String]

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    The name of the input column

    The name of the input column

    Definition Classes
    HasInputCol

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

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    Definition Classes
    Params

  37. final def isInstanceOf[T0]: Boolean

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    Definition Classes
    Any

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

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    Definition Classes
    Params

  39. def isTraceEnabled(): Boolean

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    Attributes
    protected
    Definition Classes
    Logging

  40. def log: Logger

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    Attributes
    protected
    Definition Classes
    Logging

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

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    Attributes
    protected
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    Logging

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

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    protected
    Definition Classes
    Logging

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

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    Attributes
    protected
    Definition Classes
    Logging

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

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    protected
    Definition Classes
    Logging

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

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    Attributes
    protected
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    Logging

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

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    protected
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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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    protected
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    Logging

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

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    protected
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    Logging

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

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    protected
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    Logging

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

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    Attributes
    protected
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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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    Definition Classes
    AnyRef

  54. final def notifyAll(): Unit

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    Definition Classes
    AnyRef

  55. val outputCol: Param[String]

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    The name of the output column

    The name of the output column

    Definition Classes
    HasOutputCol

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

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    Definition Classes
    Params

  57. def save(path: String): Unit

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

  58. final def set(paramPair: ParamPair[_]): ValueIndexer.this.type

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    Attributes
    protected
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    Params

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

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    protected
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    Params

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

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    Definition Classes
    Params

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

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    Params

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

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    Attributes
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    Params

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

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    Definition Classes
    HasInputCol

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

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    Definition Classes
    HasOutputCol

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

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    Definition Classes
    AnyRef

  66. def toString(): String

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    Definition Classes
    Identifiable → AnyRef → Any

  67. def transformSchema(schema: StructType): StructType

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    Definition Classes
    ValueIndexer → PipelineStage
    Annotations
    @DeveloperApi()

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

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    Attributes
    protected
    Definition Classes
    PipelineStage
    Annotations
    @DeveloperApi()

  69. val uid: String

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    Definition Classes
    ValueIndexer → Identifiable

  70. final def wait(): Unit

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

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

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    Definition Classes
    AnyRef
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    @throws( ... )

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

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

  73. 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 Logging

Inherited from Params

Inherited from Serializable

Inherited from Serializable

Inherited from Identifiable

Inherited from AnyRef

Inherited from Any

getParam

param

setParam

Ungrouped