Packages

class DataConversion extends Transformer with Wrappable with DefaultParamsWritable with BasicLogging

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

Linear Supertypes
BasicLogging, DefaultParamsWritable, MLWritable, Wrappable, RWrappable, PythonWrappable, BaseWrappable, Transformer, PipelineStage, Logging, Params, Serializable, Serializable, Identifiable, AnyRef, Any
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Inherited
  1. DataConversion
  2. BasicLogging
  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 clear(param: Param[_]): DataConversion.this.type
    Definition Classes
    Params
  2. val cols: StringArrayParam

    Comma separated list of columns whose type will be converted

  3. val convertTo: Param[String]

    The result type

  4. 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

    Definition Classes
    DataConversion → Transformer → PipelineStage → Params
  5. 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

  6. def explainParam(param: Param[_]): String
    Definition Classes
    Params
  7. def explainParams(): String
    Definition Classes
    Params
  8. final def extractParamMap(): ParamMap
    Definition Classes
    Params
  9. final def extractParamMap(extra: ParamMap): ParamMap
    Definition Classes
    Params
  10. final def get[T](param: Param[T]): Option[T]
    Definition Classes
    Params
  11. final def getCols: Array[String]

  12. final def getConvertTo: String

  13. final def getDateTimeFormat: String

  14. final def getDefault[T](param: Param[T]): Option[T]
    Definition Classes
    Params
  15. final def getOrDefault[T](param: Param[T]): T
    Definition Classes
    Params
  16. def getParam(paramName: String): Param[Any]
    Definition Classes
    Params
  17. final def hasDefault[T](param: Param[T]): Boolean
    Definition Classes
    Params
  18. def hasParam(paramName: String): Boolean
    Definition Classes
    Params
  19. final def isDefined(param: Param[_]): Boolean
    Definition Classes
    Params
  20. final def isSet(param: Param[_]): Boolean
    Definition Classes
    Params
  21. def logClass(): Unit
    Definition Classes
    BasicLogging
  22. def logFit[T](f: ⇒ T): T
    Definition Classes
    BasicLogging
  23. def logPredict[T](f: ⇒ T): T
    Definition Classes
    BasicLogging
  24. def logTrain[T](f: ⇒ T): T
    Definition Classes
    BasicLogging
  25. def logTransform[T](f: ⇒ T): T
    Definition Classes
    BasicLogging
  26. def logVerb[T](verb: String, f: ⇒ T): T
    Definition Classes
    BasicLogging
  27. def makePyFile(conf: CodegenConfig): Unit
    Definition Classes
    PythonWrappable
  28. def makeRFile(conf: CodegenConfig): Unit
    Definition Classes
    RWrappable
  29. lazy val params: Array[Param[_]]
    Definition Classes
    Params
  30. def pyAdditionalMethods: String
    Definition Classes
    PythonWrappable
  31. def pyInitFunc(): String
    Definition Classes
    PythonWrappable
  32. def save(path: String): Unit
    Definition Classes
    MLWritable
    Annotations
    @Since( "1.6.0" ) @throws( ... )
  33. final def set[T](param: Param[T], value: T): DataConversion.this.type
    Definition Classes
    Params
  34. def setCols(value: Array[String]): DataConversion.this.type

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

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

  37. def toString(): String
    Definition Classes
    Identifiable → AnyRef → Any
  38. 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
  39. def transform(dataset: Dataset[_], paramMap: ParamMap): DataFrame
    Definition Classes
    Transformer
    Annotations
    @Since( "2.0.0" )
  40. def transform(dataset: Dataset[_], firstParamPair: ParamPair[_], otherParamPairs: ParamPair[_]*): DataFrame
    Definition Classes
    Transformer
    Annotations
    @Since( "2.0.0" ) @varargs()
  41. def transformSchema(schema: StructType): StructType

    Transform the schema

    Transform the schema

    returns

    modified schema

    Definition Classes
    DataConversion → PipelineStage
  42. val uid: String
    Definition Classes
    DataConversion → BasicLogging → Identifiable
  43. val ver: String
    Definition Classes
    BasicLogging
  44. def write: MLWriter
    Definition Classes
    DefaultParamsWritable → MLWritable