Packages

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

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

Linear Supertypes
SynapseMLLogging, 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. SynapseMLLogging
  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. def getParamInfo(p: Param[_]): ParamInfo[_]
    Definition Classes
    BaseWrappable
  36. def getPayload(methodName: String, numCols: Option[Int], executionSeconds: Option[Double], exception: Option[Exception]): Map[String, String]
    Attributes
    protected
    Definition Classes
    SynapseMLLogging
  37. final def hasDefault[T](param: Param[T]): Boolean
    Definition Classes
    Params
  38. def hasParam(paramName: String): Boolean
    Definition Classes
    Params
  39. def hashCode(): Int
    Definition Classes
    AnyRef → Any
    Annotations
    @native()
  40. val imputeMissing: Param[Boolean]
  41. def initializeLogIfNecessary(isInterpreter: Boolean, silent: Boolean): Boolean
    Attributes
    protected
    Definition Classes
    Logging
  42. def initializeLogIfNecessary(isInterpreter: Boolean): Unit
    Attributes
    protected
    Definition Classes
    Logging
  43. val inputCols: StringArrayParam

    The names of the inputColumns

    The names of the inputColumns

    Definition Classes
    HasInputCols
  44. final def isDefined(param: Param[_]): Boolean
    Definition Classes
    Params
  45. final def isInstanceOf[T0]: Boolean
    Definition Classes
    Any
  46. final def isSet(param: Param[_]): Boolean
    Definition Classes
    Params
  47. def isTraceEnabled(): Boolean
    Attributes
    protected
    Definition Classes
    Logging
  48. def log: Logger
    Attributes
    protected
    Definition Classes
    Logging
  49. def logBase(info: Map[String, String], featureName: Option[String]): Unit
    Attributes
    protected
    Definition Classes
    SynapseMLLogging
  50. def logBase(methodName: String, numCols: Option[Int], executionSeconds: Option[Double], featureName: Option[String]): Unit
    Attributes
    protected
    Definition Classes
    SynapseMLLogging
  51. def logClass(featureName: String): Unit
    Definition Classes
    SynapseMLLogging
  52. def logDebug(msg: ⇒ String, throwable: Throwable): Unit
    Attributes
    protected
    Definition Classes
    Logging
  53. def logDebug(msg: ⇒ String): Unit
    Attributes
    protected
    Definition Classes
    Logging
  54. def logError(msg: ⇒ String, throwable: Throwable): Unit
    Attributes
    protected
    Definition Classes
    Logging
  55. def logError(msg: ⇒ String): Unit
    Attributes
    protected
    Definition Classes
    Logging
  56. def logErrorBase(methodName: String, e: Exception): Unit
    Attributes
    protected
    Definition Classes
    SynapseMLLogging
  57. def logFit[T](f: ⇒ T, columns: Int): T
    Definition Classes
    SynapseMLLogging
  58. def logInfo(msg: ⇒ String, throwable: Throwable): Unit
    Attributes
    protected
    Definition Classes
    Logging
  59. def logInfo(msg: ⇒ String): Unit
    Attributes
    protected
    Definition Classes
    Logging
  60. def logName: String
    Attributes
    protected
    Definition Classes
    Logging
  61. def logTrace(msg: ⇒ String, throwable: Throwable): Unit
    Attributes
    protected
    Definition Classes
    Logging
  62. def logTrace(msg: ⇒ String): Unit
    Attributes
    protected
    Definition Classes
    Logging
  63. def logTransform[T](f: ⇒ T, columns: Int): T
    Definition Classes
    SynapseMLLogging
  64. def logVerb[T](verb: String, f: ⇒ T, columns: Option[Int] = None): T
    Definition Classes
    SynapseMLLogging
  65. def logWarning(msg: ⇒ String, throwable: Throwable): Unit
    Attributes
    protected
    Definition Classes
    Logging
  66. def logWarning(msg: ⇒ String): Unit
    Attributes
    protected
    Definition Classes
    Logging
  67. def makePyFile(conf: CodegenConfig): Unit
    Definition Classes
    PythonWrappable
  68. def makeRFile(conf: CodegenConfig): Unit
    Definition Classes
    RWrappable
  69. final def ne(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  70. final def notify(): Unit
    Definition Classes
    AnyRef
    Annotations
    @native()
  71. final def notifyAll(): Unit
    Definition Classes
    AnyRef
    Annotations
    @native()
  72. val numFeatures: IntParam

    Number of features to hash string columns to

  73. val oneHotEncodeCategoricals: Param[Boolean]

    One hot encode categorical columns when true; default is true

  74. val outputCol: Param[String]

    The name of the output column

    The name of the output column

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

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

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

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

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

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

Inherited from SynapseMLLogging

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