Class/Object

com.microsoft.ml.spark.featurize

Featurize

Related Docs: object Featurize | package featurize

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class Featurize extends Estimator[PipelineModel] with Wrappable with DefaultParamsWritable

Featurizes a dataset. Converts the specified columns to feature columns.

Linear Supertypes
DefaultParamsWritable, MLWritable, Wrappable, Estimator[PipelineModel], PipelineStage, Logging, Params, Serializable, Serializable, Identifiable, AnyRef, Any
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Inherited
  1. Featurize
  2. DefaultParamsWritable
  3. MLWritable
  4. Wrappable
  5. Estimator
  6. PipelineStage
  7. Logging
  8. Params
  9. Serializable
  10. Serializable
  11. Identifiable
  12. AnyRef
  13. Any
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Visibility
  1. Public
  2. All

Instance Constructors

  1. new Featurize()

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  2. new Featurize(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. val allowImages: Param[Boolean]

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    Specifies whether to allow featurization of images

  7. final def asInstanceOf[T0]: T0

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    Definition Classes
    Any

  8. final def clear(param: Param[_]): Featurize.this.type

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    Definition Classes
    Params

  9. def clone(): AnyRef

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

  10. def copy(extra: ParamMap): Estimator[PipelineModel]

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    Definition Classes
    Featurize → Estimator → PipelineStage → Params

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

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    Attributes
    protected
    Definition Classes
    Params

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

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    Attributes
    protected
    Definition Classes
    Params

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

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    Definition Classes
    AnyRef

  14. def equals(arg0: Any): Boolean

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    Definition Classes
    AnyRef → Any

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

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    Definition Classes
    Params

  16. def explainParams(): String

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    Definition Classes
    Params

  17. final def extractParamMap(): ParamMap

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    Definition Classes
    Params

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

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    Definition Classes
    Params

  19. val featureColumns: MapArrayParam

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    Feature columns - the columns to be featurized

  20. def finalize(): Unit

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

  21. def fit(dataset: Dataset[_]): PipelineModel

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    Featurizes the dataset.

    Featurizes the dataset.

    dataset

    The input dataset to train.

    returns

    The featurized model.

    Definition Classes
    Featurize → Estimator

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

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    Definition Classes
    Estimator
    Annotations
    @Since( "2.0.0" )

  23. def fit(dataset: Dataset[_], paramMap: ParamMap): PipelineModel

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    Definition Classes
    Estimator
    Annotations
    @Since( "2.0.0" )

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

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

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

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    Definition Classes
    Params

  26. final def getAllowImages: Boolean

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

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    Definition Classes
    AnyRef → Any

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

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    Definition Classes
    Params

  29. final def getFeatureColumns: Map[String, Seq[String]]

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  30. final def getNumberOfFeatures: Int

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  31. final def getOneHotEncodeCategoricals: Boolean

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

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    Definition Classes
    Params

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

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    Definition Classes
    Params

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

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    Definition Classes
    Params

  35. def hasParam(paramName: String): Boolean

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    Definition Classes
    Params

  36. def hashCode(): Int

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    Definition Classes
    AnyRef → Any

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

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    Attributes
    protected
    Definition Classes
    Logging

  38. def initializeLogIfNecessary(isInterpreter: Boolean): Unit

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    Attributes
    protected
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    Logging

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

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    Definition Classes
    Params

  40. final def isInstanceOf[T0]: Boolean

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    Definition Classes
    Any

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

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    Definition Classes
    Params

  42. def isTraceEnabled(): Boolean

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    Attributes
    protected
    Definition Classes
    Logging

  43. def log: Logger

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    Attributes
    protected
    Definition Classes
    Logging

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

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    Attributes
    protected
    Definition Classes
    Logging

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

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    Attributes
    protected
    Definition Classes
    Logging

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

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    Attributes
    protected
    Definition Classes
    Logging

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

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    Attributes
    protected
    Definition Classes
    Logging

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

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    Attributes
    protected
    Definition Classes
    Logging

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

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    Attributes
    protected
    Definition Classes
    Logging

  50. def logName: String

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    Attributes
    protected
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    Logging

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

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    Attributes
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    Logging

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

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    Attributes
    protected
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    Logging

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

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    Attributes
    protected
    Definition Classes
    Logging

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

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    Attributes
    protected
    Definition Classes
    Logging

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

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    Definition Classes
    AnyRef

  56. final def notify(): Unit

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    Definition Classes
    AnyRef

  57. final def notifyAll(): Unit

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    Definition Classes
    AnyRef

  58. val numberOfFeatures: IntParam

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    Number of features to hash string columns to

  59. val oneHotEncodeCategoricals: Param[Boolean]

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    One hot encode categorical columns when true; default is true

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

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    Definition Classes
    Params

  61. def save(path: String): Unit

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

  62. final def set(paramPair: ParamPair[_]): Featurize.this.type

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    Attributes
    protected
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    Params

  63. final def set(param: String, value: Any): Featurize.this.type

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    protected
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    Params

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

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    Definition Classes
    Params

  65. def setAllowImages(value: Boolean): Featurize.this.type

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  66. final def setDefault(paramPairs: ParamPair[_]*): Featurize.this.type

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    Attributes
    protected
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    Params

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

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    Attributes
    protected
    Definition Classes
    Params

  68. def setFeatureColumns(value: Map[String, Seq[String]]): Featurize.this.type

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  69. def setNumberOfFeatures(value: Int): Featurize.this.type

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  70. def setOneHotEncodeCategoricals(value: Boolean): Featurize.this.type

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

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    Definition Classes
    AnyRef

  72. def toString(): String

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    Definition Classes
    Identifiable → AnyRef → Any

  73. def transformSchema(schema: StructType): StructType

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    Definition Classes
    Featurize → PipelineStage
    Annotations
    @DeveloperApi()

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

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    Attributes
    protected
    Definition Classes
    PipelineStage
    Annotations
    @DeveloperApi()

  75. val uid: String

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    Definition Classes
    Featurize → Identifiable

  76. final def wait(): Unit

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

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

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

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

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

  79. def write: MLWriter

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    Definition Classes
    DefaultParamsWritable → MLWritable

Inherited from DefaultParamsWritable

Inherited from MLWritable

Inherited from Wrappable

Inherited from Estimator[PipelineModel]

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