Packages

class DataConversion extends Transformer with Wrappable with DefaultParamsWritable with SynapseMLLogging

Converts the specified list of columns to the specified type. Returns a new DataFrame with the converted columns

Linear Supertypes
SynapseMLLogging, DefaultParamsWritable, MLWritable, Wrappable, RWrappable, PythonWrappable, BaseWrappable, Transformer, PipelineStage, Logging, Params, Serializable, Serializable, Identifiable, AnyRef, Any
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Inherited
  1. DataConversion
  2. SynapseMLLogging
  3. DefaultParamsWritable
  4. MLWritable
  5. Wrappable
  6. RWrappable
  7. PythonWrappable
  8. BaseWrappable
  9. Transformer
  10. PipelineStage
  11. Logging
  12. Params
  13. Serializable
  14. Serializable
  15. Identifiable
  16. AnyRef
  17. Any
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Visibility
  1. Public
  2. All

Instance Constructors

  1. new DataConversion()
  2. new DataConversion(uid: String)

    uid

    The id of the module

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[_]): DataConversion.this.type
    Definition Classes
    Params
  8. def clone(): AnyRef
    Attributes
    protected[lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( ... ) @native()
  9. val cols: StringArrayParam

    Comma separated list of columns whose type will be converted

  10. def companionModelClassName: String
    Attributes
    protected
    Definition Classes
    BaseWrappable
  11. val convertTo: Param[String]

    The result type

  12. def copy(extra: ParamMap): DataConversion

    Copy the class, with extra com.microsoft.azure.synapse.ml.core.serialize.params

    Copy the class, with extra com.microsoft.azure.synapse.ml.core.serialize.params

    extra

    Extra parameters

    Definition Classes
    DataConversion → Transformer → PipelineStage → Params
  13. def copyValues[T <: Params](to: T, extra: ParamMap): T
    Attributes
    protected
    Definition Classes
    Params
  14. lazy val copyrightLines: String
    Attributes
    protected
    Definition Classes
    BaseWrappable
  15. val dateTimeFormat: Param[String]

    Format for DateTime when making DateTime:String conversions.

    Format for DateTime when making DateTime:String conversions. The default is yyyy-MM-dd HH:mm:ss

  16. final def defaultCopy[T <: Params](extra: ParamMap): T
    Attributes
    protected
    Definition Classes
    Params
  17. final def eq(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  18. def equals(arg0: Any): Boolean
    Definition Classes
    AnyRef → Any
  19. def explainParam(param: Param[_]): String
    Definition Classes
    Params
  20. def explainParams(): String
    Definition Classes
    Params
  21. final def extractParamMap(): ParamMap
    Definition Classes
    Params
  22. final def extractParamMap(extra: ParamMap): ParamMap
    Definition Classes
    Params
  23. def finalize(): Unit
    Attributes
    protected[lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( classOf[java.lang.Throwable] )
  24. final def get[T](param: Param[T]): Option[T]
    Definition Classes
    Params
  25. final def getClass(): Class[_]
    Definition Classes
    AnyRef → Any
    Annotations
    @native()
  26. final def getCols: Array[String]

  27. final def getConvertTo: String

  28. final def getDateTimeFormat: String

  29. final def getDefault[T](param: Param[T]): Option[T]
    Definition Classes
    Params
  30. final def getOrDefault[T](param: Param[T]): T
    Definition Classes
    Params
  31. def getParam(paramName: String): Param[Any]
    Definition Classes
    Params
  32. def getParamInfo(p: Param[_]): ParamInfo[_]
    Definition Classes
    BaseWrappable
  33. def getPayload(methodName: String, numCols: Option[Int], executionSeconds: Option[Double], exception: Option[Exception]): Map[String, String]
    Attributes
    protected
    Definition Classes
    SynapseMLLogging
  34. final def hasDefault[T](param: Param[T]): Boolean
    Definition Classes
    Params
  35. def hasParam(paramName: String): Boolean
    Definition Classes
    Params
  36. def hashCode(): Int
    Definition Classes
    AnyRef → Any
    Annotations
    @native()
  37. def initializeLogIfNecessary(isInterpreter: Boolean, silent: Boolean): Boolean
    Attributes
    protected
    Definition Classes
    Logging
  38. def initializeLogIfNecessary(isInterpreter: Boolean): Unit
    Attributes
    protected
    Definition Classes
    Logging
  39. final def isDefined(param: Param[_]): Boolean
    Definition Classes
    Params
  40. final def isInstanceOf[T0]: Boolean
    Definition Classes
    Any
  41. final def isSet(param: Param[_]): Boolean
    Definition Classes
    Params
  42. def isTraceEnabled(): Boolean
    Attributes
    protected
    Definition Classes
    Logging
  43. def log: Logger
    Attributes
    protected
    Definition Classes
    Logging
  44. def logBase(info: Map[String, String], featureName: Option[String]): Unit
    Attributes
    protected
    Definition Classes
    SynapseMLLogging
  45. def logBase(methodName: String, numCols: Option[Int], executionSeconds: Option[Double], featureName: Option[String]): Unit
    Attributes
    protected
    Definition Classes
    SynapseMLLogging
  46. def logClass(featureName: String): Unit
    Definition Classes
    SynapseMLLogging
  47. def logDebug(msg: ⇒ String, throwable: Throwable): Unit
    Attributes
    protected
    Definition Classes
    Logging
  48. def logDebug(msg: ⇒ String): Unit
    Attributes
    protected
    Definition Classes
    Logging
  49. def logError(msg: ⇒ String, throwable: Throwable): Unit
    Attributes
    protected
    Definition Classes
    Logging
  50. def logError(msg: ⇒ String): Unit
    Attributes
    protected
    Definition Classes
    Logging
  51. def logErrorBase(methodName: String, e: Exception): Unit
    Attributes
    protected
    Definition Classes
    SynapseMLLogging
  52. def logFit[T](f: ⇒ T, columns: Int): T
    Definition Classes
    SynapseMLLogging
  53. def logInfo(msg: ⇒ String, throwable: Throwable): Unit
    Attributes
    protected
    Definition Classes
    Logging
  54. def logInfo(msg: ⇒ String): Unit
    Attributes
    protected
    Definition Classes
    Logging
  55. def logName: String
    Attributes
    protected
    Definition Classes
    Logging
  56. def logTrace(msg: ⇒ String, throwable: Throwable): Unit
    Attributes
    protected
    Definition Classes
    Logging
  57. def logTrace(msg: ⇒ String): Unit
    Attributes
    protected
    Definition Classes
    Logging
  58. def logTransform[T](f: ⇒ T, columns: Int): T
    Definition Classes
    SynapseMLLogging
  59. def logVerb[T](verb: String, f: ⇒ T, columns: Option[Int] = None): T
    Definition Classes
    SynapseMLLogging
  60. def logWarning(msg: ⇒ String, throwable: Throwable): Unit
    Attributes
    protected
    Definition Classes
    Logging
  61. def logWarning(msg: ⇒ String): Unit
    Attributes
    protected
    Definition Classes
    Logging
  62. def makePyFile(conf: CodegenConfig): Unit
    Definition Classes
    PythonWrappable
  63. def makeRFile(conf: CodegenConfig): Unit
    Definition Classes
    RWrappable
  64. final def ne(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  65. final def notify(): Unit
    Definition Classes
    AnyRef
    Annotations
    @native()
  66. final def notifyAll(): Unit
    Definition Classes
    AnyRef
    Annotations
    @native()
  67. lazy val params: Array[Param[_]]
    Definition Classes
    Params
  68. def pyAdditionalMethods: String
    Definition Classes
    PythonWrappable
  69. lazy val pyClassDoc: String
    Attributes
    protected
    Definition Classes
    PythonWrappable
  70. lazy val pyClassName: String
    Attributes
    protected
    Definition Classes
    PythonWrappable
  71. def pyExtraEstimatorImports: String
    Attributes
    protected
    Definition Classes
    PythonWrappable
  72. def pyExtraEstimatorMethods: String
    Attributes
    protected
    Definition Classes
    PythonWrappable
  73. lazy val pyInheritedClasses: Seq[String]
    Attributes
    protected
    Definition Classes
    PythonWrappable
  74. def pyInitFunc(): String
    Definition Classes
    PythonWrappable
  75. lazy val pyInternalWrapper: Boolean
    Attributes
    protected
    Definition Classes
    PythonWrappable
  76. lazy val pyObjectBaseClass: String
    Attributes
    protected
    Definition Classes
    PythonWrappable
  77. def pyParamArg[T](p: Param[T]): String
    Attributes
    protected
    Definition Classes
    PythonWrappable
  78. def pyParamDefault[T](p: Param[T]): Option[String]
    Attributes
    protected
    Definition Classes
    PythonWrappable
  79. def pyParamGetter(p: Param[_]): String
    Attributes
    protected
    Definition Classes
    PythonWrappable
  80. def pyParamSetter(p: Param[_]): String
    Attributes
    protected
    Definition Classes
    PythonWrappable
  81. def pyParamsArgs: String
    Attributes
    protected
    Definition Classes
    PythonWrappable
  82. def pyParamsDefaults: String
    Attributes
    protected
    Definition Classes
    PythonWrappable
  83. lazy val pyParamsDefinitions: String
    Attributes
    protected
    Definition Classes
    PythonWrappable
  84. def pyParamsGetters: String
    Attributes
    protected
    Definition Classes
    PythonWrappable
  85. def pyParamsSetters: String
    Attributes
    protected
    Definition Classes
    PythonWrappable
  86. def pythonClass(): String
    Attributes
    protected
    Definition Classes
    PythonWrappable
  87. def rClass(): String
    Attributes
    protected
    Definition Classes
    RWrappable
  88. def rDocString: String
    Attributes
    protected
    Definition Classes
    RWrappable
  89. def rExtraBodyLines: String
    Attributes
    protected
    Definition Classes
    RWrappable
  90. def rExtraInitLines: String
    Attributes
    protected
    Definition Classes
    RWrappable
  91. lazy val rFuncName: String
    Attributes
    protected
    Definition Classes
    RWrappable
  92. lazy val rInternalWrapper: Boolean
    Attributes
    protected
    Definition Classes
    RWrappable
  93. def rParamArg[T](p: Param[T]): String
    Attributes
    protected
    Definition Classes
    RWrappable
  94. def rParamsArgs: String
    Attributes
    protected
    Definition Classes
    RWrappable
  95. def rSetterLines: String
    Attributes
    protected
    Definition Classes
    RWrappable
  96. def save(path: String): Unit
    Definition Classes
    MLWritable
    Annotations
    @Since( "1.6.0" ) @throws( ... )
  97. final def set(paramPair: ParamPair[_]): DataConversion.this.type
    Attributes
    protected
    Definition Classes
    Params
  98. final def set(param: String, value: Any): DataConversion.this.type
    Attributes
    protected
    Definition Classes
    Params
  99. final def set[T](param: Param[T], value: T): DataConversion.this.type
    Definition Classes
    Params
  100. def setCols(value: Array[String]): DataConversion.this.type

  101. def setConvertTo(value: String): DataConversion.this.type

  102. def setDateTimeFormat(value: String): DataConversion.this.type

  103. final def setDefault(paramPairs: ParamPair[_]*): DataConversion.this.type
    Attributes
    protected
    Definition Classes
    Params
  104. final def setDefault[T](param: Param[T], value: T): DataConversion.this.type
    Attributes
    protected[org.apache.spark.ml]
    Definition Classes
    Params
  105. final def synchronized[T0](arg0: ⇒ T0): T0
    Definition Classes
    AnyRef
  106. val thisStage: Params
    Attributes
    protected
    Definition Classes
    BaseWrappable
  107. def toString(): String
    Definition Classes
    Identifiable → AnyRef → Any
  108. def transform(dataset: Dataset[_]): DataFrame

    Apply the DataConversion transform to the dataset

    Apply the DataConversion transform to the dataset

    dataset

    The dataset to be transformed

    returns

    The transformed dataset

    Definition Classes
    DataConversion → Transformer
  109. def transform(dataset: Dataset[_], paramMap: ParamMap): DataFrame
    Definition Classes
    Transformer
    Annotations
    @Since( "2.0.0" )
  110. def transform(dataset: Dataset[_], firstParamPair: ParamPair[_], otherParamPairs: ParamPair[_]*): DataFrame
    Definition Classes
    Transformer
    Annotations
    @Since( "2.0.0" ) @varargs()
  111. def transformSchema(schema: StructType): StructType

    Transform the schema

    Transform the schema

    schema

    The input schema

    returns

    modified schema

    Definition Classes
    DataConversion → PipelineStage
  112. def transformSchema(schema: StructType, logging: Boolean): StructType
    Attributes
    protected
    Definition Classes
    PipelineStage
    Annotations
    @DeveloperApi()
  113. val uid: String
    Definition Classes
    DataConversion → SynapseMLLogging → Identifiable
  114. final def wait(): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  115. final def wait(arg0: Long, arg1: Int): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  116. final def wait(arg0: Long): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... ) @native()
  117. def write: MLWriter
    Definition Classes
    DefaultParamsWritable → MLWritable

Inherited from SynapseMLLogging

Inherited from DefaultParamsWritable

Inherited from MLWritable

Inherited from Wrappable

Inherited from RWrappable

Inherited from PythonWrappable

Inherited from BaseWrappable

Inherited from Transformer

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