Class/Object

com.microsoft.ml.spark

AssembleFeatures

Related Docs: object AssembleFeatures | package spark

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class AssembleFeatures extends Estimator[AssembleFeaturesModel] with HasFeaturesCol with Wrappable with DefaultParamsWritable

Creates a vector column of features from a collection of feature columns

Linear Supertypes
DefaultParamsWritable, MLWritable, HasFeaturesCol, Wrappable, Estimator[AssembleFeaturesModel], PipelineStage, org.apache.spark.internal.Logging, Params, Serializable, Serializable, Identifiable, AnyRef, Any
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Inherited
  1. AssembleFeatures
  2. DefaultParamsWritable
  3. MLWritable
  4. HasFeaturesCol
  5. Wrappable
  6. Estimator
  7. PipelineStage
  8. Logging
  9. Params
  10. Serializable
  11. Serializable
  12. Identifiable
  13. AnyRef
  14. Any
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Visibility
  1. Public
  2. All

Instance Constructors

  1. new AssembleFeatures()

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  2. new AssembleFeatures(uid: String)

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    uid

    The id of the module

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. val allowImages: Param[Boolean]

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    Specifies whether to allow featurization of images

  6. final def asInstanceOf[T0]: T0

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    Definition Classes
    Any
  7. final def clear(param: Param[_]): AssembleFeatures.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. val columnsToFeaturize: StringArrayParam

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    Columns to featurize

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

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    Definition Classes
    AssembleFeatures → 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 featuresCol: Param[String]

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    The name of the features column

    The name of the features column

    Definition Classes
    HasFeaturesCol
  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[_]): AssembleFeaturesModel

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    Creates a vector column of features from a collection of feature columns

    Creates a vector column of features from a collection of feature columns

    dataset

    The input dataset to fit.

    returns

    The model that will return the original dataset with assembled features as a vector.

    Definition Classes
    AssembleFeatures → Estimator
  22. def fit(dataset: Dataset[_], paramMaps: Array[ParamMap]): Seq[AssembleFeaturesModel]

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    Definition Classes
    Estimator
    Annotations
    @Since( "2.0.0" )
  23. def fit(dataset: Dataset[_], paramMap: ParamMap): AssembleFeaturesModel

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    Definition Classes
    Estimator
    Annotations
    @Since( "2.0.0" )
  24. def fit(dataset: Dataset[_], firstParamPair: ParamPair[_], otherParamPairs: ParamPair[_]*): AssembleFeaturesModel

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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 getColumnsToFeaturize: Array[String]

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

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    Definition Classes
    Params
  30. def getFeaturesCol: String

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    Definition Classes
    HasFeaturesCol
  31. final def getNumberOfFeatures: Int

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  32. final def getOneHotEncodeCategoricals: Boolean

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

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    Definition Classes
    Params
  34. def getParam(paramName: String): Param[Any]

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    Definition Classes
    Params
  35. final def hasDefault[T](param: Param[T]): Boolean

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    Definition Classes
    Params
  36. def hasParam(paramName: String): Boolean

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    Definition Classes
    Params
  37. def hashCode(): Int

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    Definition Classes
    AnyRef → Any
  38. def initializeLogIfNecessary(isInterpreter: Boolean, silent: Boolean): Boolean

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    Attributes
    protected
    Definition Classes
    Logging
  39. def initializeLogIfNecessary(isInterpreter: Boolean): Unit

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    Attributes
    protected
    Definition Classes
    Logging
  40. final def isDefined(param: Param[_]): Boolean

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    Definition Classes
    Params
  41. final def isInstanceOf[T0]: Boolean

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    Definition Classes
    Any
  42. final def isSet(param: Param[_]): Boolean

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    Definition Classes
    Params
  43. def isTraceEnabled(): Boolean

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    Attributes
    protected
    Definition Classes
    Logging
  44. def log: Logger

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    Attributes
    protected
    Definition Classes
    Logging
  45. def logDebug(msg: ⇒ String, throwable: Throwable): Unit

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    Attributes
    protected
    Definition Classes
    Logging
  46. def logDebug(msg: ⇒ String): Unit

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    Attributes
    protected
    Definition Classes
    Logging
  47. def logError(msg: ⇒ String, throwable: Throwable): Unit

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    Attributes
    protected
    Definition Classes
    Logging
  48. def logError(msg: ⇒ String): Unit

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    Attributes
    protected
    Definition Classes
    Logging
  49. def logInfo(msg: ⇒ String, throwable: Throwable): Unit

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    Attributes
    protected
    Definition Classes
    Logging
  50. def logInfo(msg: ⇒ String): Unit

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    Attributes
    protected
    Definition Classes
    Logging
  51. def logName: String

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    Attributes
    protected
    Definition Classes
    Logging
  52. def logTrace(msg: ⇒ String, throwable: Throwable): Unit

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    Attributes
    protected
    Definition Classes
    Logging
  53. def logTrace(msg: ⇒ String): Unit

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    Attributes
    protected
    Definition Classes
    Logging
  54. def logWarning(msg: ⇒ String, throwable: Throwable): Unit

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    Attributes
    protected
    Definition Classes
    Logging
  55. def logWarning(msg: ⇒ String): Unit

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    Attributes
    protected
    Definition Classes
    Logging
  56. final def ne(arg0: AnyRef): Boolean

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    Definition Classes
    AnyRef
  57. final def notify(): Unit

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    Definition Classes
    AnyRef
  58. final def notifyAll(): Unit

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    Definition Classes
    AnyRef
  59. val numberOfFeatures: IntParam

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    Number of features to has string columns tos

  60. val oneHotEncodeCategoricals: Param[Boolean]

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    Categorical columns are one-hot encoded when true; default is true

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

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    Definition Classes
    Params
  62. def save(path: String): Unit

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    Definition Classes
    MLWritable
    Annotations
    @Since( "1.6.0" ) @throws( ... )
  63. final def set(paramPair: ParamPair[_]): AssembleFeatures.this.type

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    Attributes
    protected
    Definition Classes
    Params
  64. final def set(param: String, value: Any): AssembleFeatures.this.type

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    Attributes
    protected
    Definition Classes
    Params
  65. final def set[T](param: Param[T], value: T): AssembleFeatures.this.type

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    Definition Classes
    Params
  66. def setAllowImages(value: Boolean): AssembleFeatures.this.type

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  67. def setColumnsToFeaturize(value: Array[String]): AssembleFeatures.this.type

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  68. final def setDefault(paramPairs: ParamPair[_]*): AssembleFeatures.this.type

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    Attributes
    protected
    Definition Classes
    Params
  69. final def setDefault[T](param: Param[T], value: T): AssembleFeatures.this.type

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    Attributes
    protected
    Definition Classes
    Params
  70. def setFeaturesCol(value: String): AssembleFeatures.this.type

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    Definition Classes
    HasFeaturesCol
  71. def setNumberOfFeatures(value: Int): AssembleFeatures.this.type

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  72. def setOneHotEncodeCategoricals(value: Boolean): AssembleFeatures.this.type

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

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    Definition Classes
    AnyRef
  74. def toBitSet(indices: Array[Int]): BitSet

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  75. def toString(): String

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    Definition Classes
    Identifiable → AnyRef → Any
  76. def transformSchema(schema: StructType): StructType

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    Definition Classes
    AssembleFeatures → PipelineStage
    Annotations
    @DeveloperApi()
  77. def transformSchema(schema: StructType, logging: Boolean): StructType

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    Attributes
    protected
    Definition Classes
    PipelineStage
    Annotations
    @DeveloperApi()
  78. val uid: String

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    The id of the module

    The id of the module

    Definition Classes
    AssembleFeatures → Identifiable
  79. final def wait(): Unit

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  80. final def wait(arg0: Long, arg1: Int): Unit

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  81. final def wait(arg0: Long): Unit

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  82. def write: MLWriter

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    Definition Classes
    DefaultParamsWritable → MLWritable

Inherited from DefaultParamsWritable

Inherited from MLWritable

Inherited from HasFeaturesCol

Inherited from Wrappable

Inherited from Estimator[AssembleFeaturesModel]

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