Packages

class Featurize extends Estimator[PipelineModel] with Wrappable with DefaultParamsWritable with HasOutputCol with HasInputCols with BasicLogging

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

Linear Supertypes
BasicLogging, HasInputCols, HasOutputCol, DefaultParamsWritable, MLWritable, Wrappable, RWrappable, PythonWrappable, BaseWrappable, Estimator[PipelineModel], PipelineStage, Logging, Params, Serializable, Serializable, Identifiable, AnyRef, Any
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  2. By Inheritance
Inherited
  1. Featurize
  2. BasicLogging
  3. HasInputCols
  4. HasOutputCol
  5. DefaultParamsWritable
  6. MLWritable
  7. Wrappable
  8. RWrappable
  9. PythonWrappable
  10. BaseWrappable
  11. Estimator
  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 Featurize()
  2. new Featurize(uid: String)

Value Members

  1. final def !=(arg0: Any): Boolean
    Definition Classes
    AnyRef → Any
  2. final def ##(): Int
    Definition Classes
    AnyRef → Any
  3. final def $[T](param: Param[T]): T
    Attributes
    protected
    Definition Classes
    Params
  4. final def ==(arg0: Any): Boolean
    Definition Classes
    AnyRef → Any
  5. final def asInstanceOf[T0]: T0
    Definition Classes
    Any
  6. lazy val classNameHelper: String
    Attributes
    protected
    Definition Classes
    BaseWrappable
  7. final def clear(param: Param[_]): Featurize.this.type
    Definition Classes
    Params
  8. def clone(): AnyRef
    Attributes
    protected[lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( ... ) @native()
  9. def companionModelClassName: String
    Attributes
    protected
    Definition Classes
    BaseWrappable
  10. def copy(extra: ParamMap): Estimator[PipelineModel]
    Definition Classes
    Featurize → Estimator → PipelineStage → Params
  11. def copyValues[T <: Params](to: T, extra: ParamMap): T
    Attributes
    protected
    Definition Classes
    Params
  12. lazy val copyrightLines: String
    Attributes
    protected
    Definition Classes
    BaseWrappable
  13. final def defaultCopy[T <: Params](extra: ParamMap): T
    Attributes
    protected
    Definition Classes
    Params
  14. final def eq(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  15. def equals(arg0: Any): Boolean
    Definition Classes
    AnyRef → Any
  16. def explainParam(param: Param[_]): String
    Definition Classes
    Params
  17. def explainParams(): String
    Definition Classes
    Params
  18. final def extractParamMap(): ParamMap
    Definition Classes
    Params
  19. final def extractParamMap(extra: ParamMap): ParamMap
    Definition Classes
    Params
  20. def finalize(): Unit
    Attributes
    protected[lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( classOf[java.lang.Throwable] )
  21. def fit(dataset: Dataset[_]): PipelineModel

    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: Seq[ParamMap]): Seq[PipelineModel]
    Definition Classes
    Estimator
    Annotations
    @Since( "2.0.0" )
  23. def fit(dataset: Dataset[_], paramMap: ParamMap): PipelineModel
    Definition Classes
    Estimator
    Annotations
    @Since( "2.0.0" )
  24. def fit(dataset: Dataset[_], firstParamPair: ParamPair[_], otherParamPairs: ParamPair[_]*): PipelineModel
    Definition Classes
    Estimator
    Annotations
    @Since( "2.0.0" ) @varargs()
  25. final def get[T](param: Param[T]): Option[T]
    Definition Classes
    Params
  26. final def getClass(): Class[_]
    Definition Classes
    AnyRef → Any
    Annotations
    @native()
  27. final def getDefault[T](param: Param[T]): Option[T]
    Definition Classes
    Params
  28. final def getImputeMissing: Boolean

  29. def getInputCols: Array[String]

    Definition Classes
    HasInputCols
  30. final def getNumFeatures: Int

  31. final def getOneHotEncodeCategoricals: Boolean

  32. final def getOrDefault[T](param: Param[T]): T
    Definition Classes
    Params
  33. def getOutputCol: String

    Definition Classes
    HasOutputCol
  34. def getParam(paramName: String): Param[Any]
    Definition Classes
    Params
  35. final def hasDefault[T](param: Param[T]): Boolean
    Definition Classes
    Params
  36. def hasParam(paramName: String): Boolean
    Definition Classes
    Params
  37. def hashCode(): Int
    Definition Classes
    AnyRef → Any
    Annotations
    @native()
  38. val imputeMissing: Param[Boolean]
  39. def initializeLogIfNecessary(isInterpreter: Boolean, silent: Boolean): Boolean
    Attributes
    protected
    Definition Classes
    Logging
  40. def initializeLogIfNecessary(isInterpreter: Boolean): Unit
    Attributes
    protected
    Definition Classes
    Logging
  41. val inputCols: StringArrayParam

    The names of the inputColumns

    The names of the inputColumns

    Definition Classes
    HasInputCols
  42. final def isDefined(param: Param[_]): Boolean
    Definition Classes
    Params
  43. final def isInstanceOf[T0]: Boolean
    Definition Classes
    Any
  44. final def isSet(param: Param[_]): Boolean
    Definition Classes
    Params
  45. def isTraceEnabled(): Boolean
    Attributes
    protected
    Definition Classes
    Logging
  46. def log: Logger
    Attributes
    protected
    Definition Classes
    Logging
  47. def logBase(methodName: String): Unit
    Attributes
    protected
    Definition Classes
    BasicLogging
  48. def logClass(): Unit
    Definition Classes
    BasicLogging
  49. def logDebug(msg: ⇒ String, throwable: Throwable): Unit
    Attributes
    protected
    Definition Classes
    Logging
  50. def logDebug(msg: ⇒ String): Unit
    Attributes
    protected
    Definition Classes
    Logging
  51. def logError(msg: ⇒ String, throwable: Throwable): Unit
    Attributes
    protected
    Definition Classes
    Logging
  52. def logError(msg: ⇒ String): Unit
    Attributes
    protected
    Definition Classes
    Logging
  53. def logErrorBase(methodName: String, e: Exception): Unit
    Attributes
    protected
    Definition Classes
    BasicLogging
  54. def logFit[T](f: ⇒ T): T
    Definition Classes
    BasicLogging
  55. def logInfo(msg: ⇒ String, throwable: Throwable): Unit
    Attributes
    protected
    Definition Classes
    Logging
  56. def logInfo(msg: ⇒ String): Unit
    Attributes
    protected
    Definition Classes
    Logging
  57. def logName: String
    Attributes
    protected
    Definition Classes
    Logging
  58. def logPredict[T](f: ⇒ T): T
    Definition Classes
    BasicLogging
  59. def logTrace(msg: ⇒ String, throwable: Throwable): Unit
    Attributes
    protected
    Definition Classes
    Logging
  60. def logTrace(msg: ⇒ String): Unit
    Attributes
    protected
    Definition Classes
    Logging
  61. def logTrain[T](f: ⇒ T): T
    Definition Classes
    BasicLogging
  62. def logTransform[T](f: ⇒ T): T
    Definition Classes
    BasicLogging
  63. def logVerb[T](verb: String, f: ⇒ T): T
    Definition Classes
    BasicLogging
  64. def logWarning(msg: ⇒ String, throwable: Throwable): Unit
    Attributes
    protected
    Definition Classes
    Logging
  65. def logWarning(msg: ⇒ String): Unit
    Attributes
    protected
    Definition Classes
    Logging
  66. def makePyFile(conf: CodegenConfig): Unit
    Definition Classes
    PythonWrappable
  67. def makeRFile(conf: CodegenConfig): Unit
    Definition Classes
    RWrappable
  68. final def ne(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  69. final def notify(): Unit
    Definition Classes
    AnyRef
    Annotations
    @native()
  70. final def notifyAll(): Unit
    Definition Classes
    AnyRef
    Annotations
    @native()
  71. val numFeatures: IntParam

    Number of features to hash string columns to

  72. val oneHotEncodeCategoricals: Param[Boolean]

    One hot encode categorical columns when true; default is true

  73. val outputCol: Param[String]

    The name of the output column

    The name of the output column

    Definition Classes
    HasOutputCol
  74. lazy val params: Array[Param[_]]
    Definition Classes
    Params
  75. def pyAdditionalMethods: String
    Definition Classes
    PythonWrappable
  76. lazy val pyClassDoc: String
    Attributes
    protected
    Definition Classes
    PythonWrappable
  77. lazy val pyClassName: String
    Attributes
    protected
    Definition Classes
    PythonWrappable
  78. def pyExtraEstimatorImports: String
    Attributes
    protected
    Definition Classes
    PythonWrappable
  79. def pyExtraEstimatorMethods: String
    Attributes
    protected
    Definition Classes
    PythonWrappable
  80. lazy val pyInheritedClasses: Seq[String]
    Attributes
    protected
    Definition Classes
    PythonWrappable
  81. def pyInitFunc(): String
    Definition Classes
    PythonWrappable
  82. lazy val pyInternalWrapper: Boolean
    Attributes
    protected
    Definition Classes
    PythonWrappable
  83. lazy val pyObjectBaseClass: String
    Attributes
    protected
    Definition Classes
    PythonWrappable
  84. def pyParamArg[T](p: Param[T]): String
    Attributes
    protected
    Definition Classes
    PythonWrappable
  85. def pyParamDefault[T](p: Param[T]): Option[String]
    Attributes
    protected
    Definition Classes
    PythonWrappable
  86. def pyParamGetter(p: Param[_]): String
    Attributes
    protected
    Definition Classes
    PythonWrappable
  87. def pyParamSetter(p: Param[_]): String
    Attributes
    protected
    Definition Classes
    PythonWrappable
  88. def pyParamsArgs: String
    Attributes
    protected
    Definition Classes
    PythonWrappable
  89. def pyParamsDefaults: String
    Attributes
    protected
    Definition Classes
    PythonWrappable
  90. lazy val pyParamsDefinitions: String
    Attributes
    protected
    Definition Classes
    PythonWrappable
  91. def pyParamsGetters: String
    Attributes
    protected
    Definition Classes
    PythonWrappable
  92. def pyParamsSetters: String
    Attributes
    protected
    Definition Classes
    PythonWrappable
  93. def pythonClass(): String
    Attributes
    protected
    Definition Classes
    PythonWrappable
  94. def rClass(): String
    Attributes
    protected
    Definition Classes
    RWrappable
  95. def rDocString: String
    Attributes
    protected
    Definition Classes
    RWrappable
  96. def rExtraBodyLines: String
    Attributes
    protected
    Definition Classes
    RWrappable
  97. def rExtraInitLines: String
    Attributes
    protected
    Definition Classes
    RWrappable
  98. lazy val rFuncName: String
    Attributes
    protected
    Definition Classes
    RWrappable
  99. lazy val rInternalWrapper: Boolean
    Attributes
    protected
    Definition Classes
    RWrappable
  100. def rParamArg[T](p: Param[T]): String
    Attributes
    protected
    Definition Classes
    RWrappable
  101. def rParamsArgs: String
    Attributes
    protected
    Definition Classes
    RWrappable
  102. def rSetterLines: String
    Attributes
    protected
    Definition Classes
    RWrappable
  103. def save(path: String): Unit
    Definition Classes
    MLWritable
    Annotations
    @Since( "1.6.0" ) @throws( ... )
  104. final def set(paramPair: ParamPair[_]): Featurize.this.type
    Attributes
    protected
    Definition Classes
    Params
  105. final def set(param: String, value: Any): Featurize.this.type
    Attributes
    protected
    Definition Classes
    Params
  106. final def set[T](param: Param[T], value: T): Featurize.this.type
    Definition Classes
    Params
  107. final def setDefault(paramPairs: ParamPair[_]*): Featurize.this.type
    Attributes
    protected
    Definition Classes
    Params
  108. final def setDefault[T](param: Param[T], value: T): Featurize.this.type
    Attributes
    protected
    Definition Classes
    Params
  109. def setImputeMissing(value: Boolean): Featurize.this.type

  110. def setInputCols(value: Array[String]): Featurize.this.type

    Definition Classes
    HasInputCols
  111. def setNumFeatures(value: Int): Featurize.this.type

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

  113. def setOutputCol(value: String): Featurize.this.type

    Definition Classes
    HasOutputCol
  114. final def synchronized[T0](arg0: ⇒ T0): T0
    Definition Classes
    AnyRef
  115. def toString(): String
    Definition Classes
    Identifiable → AnyRef → Any
  116. def transformSchema(schema: StructType): StructType
    Definition Classes
    Featurize → PipelineStage
  117. def transformSchema(schema: StructType, logging: Boolean): StructType
    Attributes
    protected
    Definition Classes
    PipelineStage
    Annotations
    @DeveloperApi()
  118. val uid: String
    Definition Classes
    Featurize → BasicLogging → Identifiable
  119. val ver: String
    Definition Classes
    BasicLogging
  120. final def wait(): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  121. final def wait(arg0: Long, arg1: Int): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  122. final def wait(arg0: Long): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... ) @native()
  123. def write: MLWriter
    Definition Classes
    DefaultParamsWritable → MLWritable

Inherited from BasicLogging

Inherited from HasInputCols

Inherited from HasOutputCol

Inherited from DefaultParamsWritable

Inherited from MLWritable

Inherited from Wrappable

Inherited from RWrappable

Inherited from PythonWrappable

Inherited from BaseWrappable

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