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, MMLParams, 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. MMLParams
  6. DefaultParamsWritable
  7. MLWritable
  8. Wrappable
  9. Estimator
  10. PipelineStage
  11. Logging
  12. Params
  13. Serializable
  14. Serializable
  15. Identifiable
  16. AnyRef
  17. 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. def BooleanParam(i: Identifiable, name: String, description: String, default: Boolean): BooleanParam

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    Definition Classes
    Wrappable

  6. def BooleanParam(i: Identifiable, name: String, description: String): BooleanParam

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    Definition Classes
    Wrappable

  7. def DoubleParam(i: Identifiable, name: String, description: String, default: Double): DoubleParam

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    Definition Classes
    Wrappable

  8. def DoubleParam(i: Identifiable, name: String, description: String): DoubleParam

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    Definition Classes
    Wrappable

  9. def IntParam(i: Identifiable, name: String, description: String, validation: (Int) ⇒ Boolean): IntParam

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    Definition Classes
    Wrappable

  10. def IntParam(i: Identifiable, name: String, description: String, default: Int): IntParam

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    Definition Classes
    Wrappable

  11. def IntParam(i: Identifiable, name: String, description: String): IntParam

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    Definition Classes
    Wrappable

  12. def LongParam(i: Identifiable, name: String, description: String, default: Long): LongParam

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    Definition Classes
    Wrappable

  13. def LongParam(i: Identifiable, name: String, description: String): LongParam

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    Definition Classes
    Wrappable

  14. def StringParam(i: Identifiable, name: String, description: String, default: String, domain: Seq[String]): Param[String]

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    Definition Classes
    Wrappable

  15. def StringParam(i: Identifiable, name: String, description: String, default: String): Param[String]

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    Definition Classes
    Wrappable

  16. def StringParam(i: Identifiable, name: String, description: String, validation: (String) ⇒ Boolean): Param[String]

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    Definition Classes
    Wrappable

  17. def StringParam(i: Identifiable, name: String, description: String): Param[String]

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    Definition Classes
    Wrappable

  18. final def asInstanceOf[T0]: T0

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    Definition Classes
    Any

  19. def chainedUid(origin: String): String

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    Definition Classes
    Wrappable

  20. final def clear(param: Param[_]): ValueIndexer.this.type

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    Definition Classes
    Params

  21. def clone(): AnyRef

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

  22. def copy(extra: ParamMap): Estimator[ValueIndexerModel]

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    Definition Classes
    ValueIndexer → Estimator → PipelineStage → Params

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

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    Attributes
    protected
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    Params

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

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    Attributes
    protected
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    Params

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

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    Definition Classes
    AnyRef

  26. def equals(arg0: Any): Boolean

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    Definition Classes
    AnyRef → Any

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

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    Definition Classes
    Params

  28. def explainParams(): String

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    Definition Classes
    Params

  29. final def extractParamMap(): ParamMap

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    Definition Classes
    Params

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

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    Definition Classes
    Params

  31. def finalize(): Unit

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

  32. 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

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

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    Definition Classes
    Estimator
    Annotations
    @Since( "2.0.0" )

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

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    Definition Classes
    Estimator
    Annotations
    @Since( "2.0.0" )

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

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

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

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    Definition Classes
    Params

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

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    Definition Classes
    AnyRef → Any

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

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    Definition Classes
    Params

  39. def getInputCol: String

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    Definition Classes
    HasInputCol

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

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    Definition Classes
    Params

  41. def getOutputCol: String

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    Definition Classes
    HasOutputCol

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

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    Definition Classes
    Params

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

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    Definition Classes
    Params

  44. def hasParam(paramName: String): Boolean

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    Definition Classes
    Params

  45. def hashCode(): Int

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    Definition Classes
    AnyRef → Any

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

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    Attributes
    protected
    Definition Classes
    Logging

  47. def initializeLogIfNecessary(isInterpreter: Boolean): Unit

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    Attributes
    protected
    Definition Classes
    Logging

  48. val inputCol: Param[String]

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    The name of the input column

    The name of the input column

    Definition Classes
    HasInputCol

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

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    Definition Classes
    Params

  50. final def isInstanceOf[T0]: Boolean

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    Definition Classes
    Any

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

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    Params

  52. def isTraceEnabled(): Boolean

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    Attributes
    protected
    Definition Classes
    Logging

  53. def log: Logger

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    Attributes
    protected
    Definition Classes
    Logging

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

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    Attributes
    protected
    Definition Classes
    Logging

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

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    Attributes
    protected
    Definition Classes
    Logging

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

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    Attributes
    protected
    Definition Classes
    Logging

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

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    protected
    Definition Classes
    Logging

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

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    protected
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    Logging

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

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    protected
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    Logging

  60. def logName: String

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    Logging

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

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    Logging

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

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    Attributes
    protected
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    Logging

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

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    Attributes
    protected
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    Logging

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

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    Attributes
    protected
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    Logging

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

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    Definition Classes
    AnyRef

  66. final def notify(): Unit

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    Definition Classes
    AnyRef

  67. final def notifyAll(): Unit

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    Definition Classes
    AnyRef

  68. val outputCol: Param[String]

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    The name of the output column

    The name of the output column

    Definition Classes
    HasOutputCol

  69. val paramDomains: Map[String, Seq[String]]

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    Definition Classes
    Wrappable

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

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    Definition Classes
    Params

  71. def save(path: String): Unit

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

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

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    Attributes
    protected
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    Params

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

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    Attributes
    protected
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    Params

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

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    Definition Classes
    Params

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

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    Attributes
    protected
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    Params

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

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    Attributes
    protected
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    Params

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

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    Definition Classes
    HasInputCol

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

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    Definition Classes
    HasOutputCol

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

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    Definition Classes
    AnyRef

  80. def toString(): String

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    Definition Classes
    Identifiable → AnyRef → Any

  81. def transformSchema(schema: StructType): StructType

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    Definition Classes
    ValueIndexer → PipelineStage
    Annotations
    @DeveloperApi()

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

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    Attributes
    protected
    Definition Classes
    PipelineStage
    Annotations
    @DeveloperApi()

  83. val uid: String

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    Definition Classes
    ValueIndexer → Identifiable

  84. final def wait(): Unit

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

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

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

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

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

  87. def write: MLWriter

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    Definition Classes
    DefaultParamsWritable → MLWritable

Inherited from ValueIndexerParams

Inherited from HasOutputCol

Inherited from HasInputCol

Inherited from MMLParams

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