Class/Object

com.microsoft.ml.spark

ValueIndexerModel

Related Docs: object ValueIndexerModel | package spark

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class ValueIndexerModel extends Model[ValueIndexerModel] with ValueIndexerParams with ComplexParamsWritable

Model produced by ValueIndexer.

Linear Supertypes
ComplexParamsWritable, ValueIndexerParams, HasOutputCol, HasInputCol, MMLParams, DefaultParamsWritable, MLWritable, Wrappable, Model[ValueIndexerModel], Transformer, PipelineStage, org.apache.spark.internal.Logging, Params, Serializable, Serializable, Identifiable, AnyRef, Any
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Inherited
  1. ValueIndexerModel
  2. ComplexParamsWritable
  3. ValueIndexerParams
  4. HasOutputCol
  5. HasInputCol
  6. MMLParams
  7. DefaultParamsWritable
  8. MLWritable
  9. Wrappable
  10. Model
  11. Transformer
  12. PipelineStage
  13. Logging
  14. Params
  15. Serializable
  16. Serializable
  17. Identifiable
  18. AnyRef
  19. Any
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Visibility
  1. Public
  2. All

Instance Constructors

  1. new ValueIndexerModel()

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

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    Definition Classes
    ValueIndexerModel → Model → Transformer → PipelineStage → Params

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

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    Attributes
    protected
    Definition Classes
    Params

  24. val dataType: Param[String]

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    The datatype of the levels as a jason string

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

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    Attributes
    protected
    Definition Classes
    Params

  26. val emptyLevels: Array[Nothing]

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

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    Definition Classes
    AnyRef

  28. def equals(arg0: Any): Boolean

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    Definition Classes
    AnyRef → Any

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

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    Definition Classes
    Params

  30. def explainParams(): String

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    Definition Classes
    Params

  31. final def extractParamMap(): ParamMap

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    Definition Classes
    Params

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

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    Definition Classes
    Params

  33. def finalize(): Unit

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

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

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    Definition Classes
    Params

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

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    Definition Classes
    AnyRef → Any

  36. def getDataType: DataType

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  37. def getDataTypeStr: String

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  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. def getLevels: Array[_]

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

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    Definition Classes
    Params

  42. def getOutputCol: String

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    Definition Classes
    HasOutputCol

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

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    Definition Classes
    Params

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

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    Definition Classes
    Params

  45. def hasParam(paramName: String): Boolean

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    Definition Classes
    Params

  46. def hasParent: Boolean

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    Definition Classes
    Model

  47. def hashCode(): Int

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    Definition Classes
    AnyRef → Any

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

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    Attributes
    protected
    Definition Classes
    Logging

  49. def initializeLogIfNecessary(isInterpreter: Boolean): Unit

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    Attributes
    protected
    Definition Classes
    Logging

  50. val inputCol: Param[String]

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    The name of the input column

    The name of the input column

    Definition Classes
    HasInputCol

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

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    Definition Classes
    Params

  52. final def isInstanceOf[T0]: Boolean

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    Definition Classes
    Any

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

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    Definition Classes
    Params

  54. def isTraceEnabled(): Boolean

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    Attributes
    protected
    Definition Classes
    Logging

  55. val levels: ArrayParam

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    Levels in categorical array

  56. def log: Logger

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    Attributes
    protected
    Definition Classes
    Logging

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

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    Attributes
    protected
    Definition Classes
    Logging

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

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    Attributes
    protected
    Definition Classes
    Logging

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

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    Attributes
    protected
    Definition Classes
    Logging

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

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    Attributes
    protected
    Definition Classes
    Logging

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

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    Attributes
    protected
    Definition Classes
    Logging

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

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    Attributes
    protected
    Definition Classes
    Logging

  63. def logName: String

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    Attributes
    protected
    Definition Classes
    Logging

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

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    Attributes
    protected
    Definition Classes
    Logging

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

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    Attributes
    protected
    Definition Classes
    Logging

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

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    Attributes
    protected
    Definition Classes
    Logging

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

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    Attributes
    protected
    Definition Classes
    Logging

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

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    Definition Classes
    AnyRef

  69. final def notify(): Unit

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    Definition Classes
    AnyRef

  70. final def notifyAll(): Unit

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    Definition Classes
    AnyRef

  71. val outputCol: Param[String]

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    The name of the output column

    The name of the output column

    Definition Classes
    HasOutputCol

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

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    Definition Classes
    Wrappable

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

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    Definition Classes
    Params

  74. var parent: Estimator[ValueIndexerModel]

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    Definition Classes
    Model

  75. def save(path: String): Unit

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

  76. final def set(paramPair: ParamPair[_]): ValueIndexerModel.this.type

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    Attributes
    protected
    Definition Classes
    Params

  77. final def set(param: String, value: Any): ValueIndexerModel.this.type

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    Attributes
    protected
    Definition Classes
    Params

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

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    Definition Classes
    Params

  79. def setDataType(value: DataType): ValueIndexerModel.this.type

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  80. def setDataTypeStr(value: String): ValueIndexerModel.this.type

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  81. final def setDefault(paramPairs: ParamPair[_]*): ValueIndexerModel.this.type

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    Attributes
    protected
    Definition Classes
    Params

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

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    Attributes
    protected
    Definition Classes
    Params

  83. def setInputCol(value: String): ValueIndexerModel.this.type

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    Definition Classes
    HasInputCol

  84. def setLevels(value: Array[_]): ValueIndexerModel.this.type

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  85. def setOutputCol(value: String): ValueIndexerModel.this.type

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    Definition Classes
    HasOutputCol

  86. def setParent(parent: Estimator[ValueIndexerModel]): ValueIndexerModel

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    Definition Classes
    Model

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

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    Definition Classes
    AnyRef

  88. def toString(): String

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    Definition Classes
    Identifiable → AnyRef → Any

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

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    Transform the input column to categorical

    Transform the input column to categorical

    Definition Classes
    ValueIndexerModel → Transformer

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

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    Definition Classes
    Transformer
    Annotations
    @Since( "2.0.0" )

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

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

  92. def transformSchema(schema: StructType): StructType

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    Definition Classes
    ValueIndexerModel → PipelineStage
    Annotations
    @DeveloperApi()

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

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    Attributes
    protected
    Definition Classes
    PipelineStage
    Annotations
    @DeveloperApi()

  94. val uid: String

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    Definition Classes
    ValueIndexerModel → Identifiable

  95. final def wait(): Unit

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

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

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

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

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

  98. def write: MLWriter

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    Definition Classes
    ComplexParamsWritable → MLWritable

Inherited from ComplexParamsWritable

Inherited from ValueIndexerParams

Inherited from HasOutputCol

Inherited from HasInputCol

Inherited from MMLParams

Inherited from DefaultParamsWritable

Inherited from MLWritable

Inherited from Wrappable

Inherited from Model[ValueIndexerModel]

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