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, DotnetWrappable, 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. DotnetWrappable
  7. RWrappable
  8. PythonWrappable
  9. BaseWrappable
  10. Transformer
  11. PipelineStage
  12. Logging
  13. Params
  14. Serializable
  15. Serializable
  16. Identifiable
  17. AnyRef
  18. 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

    extra

    Extra parameters

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

  13. final def getConvertTo: String

  14. final def getDateTimeFormat: String

  15. final def getDefault[T](param: Param[T]): Option[T]
    Definition Classes
    Params
  16. final def getOrDefault[T](param: Param[T]): T
    Definition Classes
    Params
  17. def getParam(paramName: String): Param[Any]
    Definition Classes
    Params
  18. def getParamInfo(p: Param[_]): ParamInfo[_]
    Definition Classes
    BaseWrappable
  19. final def hasDefault[T](param: Param[T]): Boolean
    Definition Classes
    Params
  20. def hasParam(paramName: String): Boolean
    Definition Classes
    Params
  21. final def isDefined(param: Param[_]): Boolean
    Definition Classes
    Params
  22. final def isSet(param: Param[_]): Boolean
    Definition Classes
    Params
  23. def logClass(featureName: String): Unit
    Definition Classes
    SynapseMLLogging
  24. def logFit[T](f: ⇒ T, columns: Int): T
    Definition Classes
    SynapseMLLogging
  25. def logTransform[T](f: ⇒ T, columns: Int): T
    Definition Classes
    SynapseMLLogging
  26. def logVerb[T](verb: String, f: ⇒ T, columns: Option[Int] = None): T
    Definition Classes
    SynapseMLLogging
  27. def makeDotnetFile(conf: CodegenConfig): Unit
    Definition Classes
    DotnetWrappable
  28. def makePyFile(conf: CodegenConfig): Unit
    Definition Classes
    PythonWrappable
  29. def makeRFile(conf: CodegenConfig): Unit
    Definition Classes
    RWrappable
  30. lazy val params: Array[Param[_]]
    Definition Classes
    Params
  31. def pyAdditionalMethods: String
    Definition Classes
    PythonWrappable
  32. def pyInitFunc(): String
    Definition Classes
    PythonWrappable
  33. def save(path: String): Unit
    Definition Classes
    MLWritable
    Annotations
    @Since( "1.6.0" ) @throws( ... )
  34. final def set[T](param: Param[T], value: T): DataConversion.this.type
    Definition Classes
    Params
  35. def setCols(value: Array[String]): DataConversion.this.type

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

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

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

    Transform the schema

    Transform the schema

    schema

    The input schema

    returns

    modified schema

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