Class/Object

com.microsoft.ml.spark

DataConversion

Related Docs: object DataConversion | package spark

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class DataConversion extends Transformer with MMLParams

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

Linear Supertypes
MMLParams, DefaultParamsWritable, MLWritable, Wrappable, Transformer, PipelineStage, org.apache.spark.internal.Logging, Params, Serializable, Serializable, Identifiable, AnyRef, Any
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Inherited
  1. DataConversion
  2. MMLParams
  3. DefaultParamsWritable
  4. MLWritable
  5. Wrappable
  6. Transformer
  7. PipelineStage
  8. Logging
  9. Params
  10. Serializable
  11. Serializable
  12. Identifiable
  13. AnyRef
  14. Any
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Visibility
  1. Public
  2. All

Instance Constructors

  1. new DataConversion()

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  2. new DataConversion(uid: String)

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    uid

    The id of the module

Value Members

  1. final def !=(arg0: Any): Boolean

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    Definition Classes
    AnyRef → Any

  2. final def ##(): Int

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    Definition Classes
    AnyRef → Any

  3. final def $[T](param: Param[T]): T

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    Attributes
    protected
    Definition Classes
    Params

  4. final def ==(arg0: Any): Boolean

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    Definition Classes
    AnyRef → Any

  5. def BooleanParam(i: Identifiable, name: String, description: String, default: Boolean): BooleanParam

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    Definition Classes
    Wrappable

  6. def BooleanParam(i: Identifiable, name: String, description: String): BooleanParam

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    Definition Classes
    Wrappable

  7. def DoubleParam(i: Identifiable, name: String, description: String, default: Double): DoubleParam

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    Definition Classes
    Wrappable

  8. def DoubleParam(i: Identifiable, name: String, description: String): DoubleParam

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    Definition Classes
    Wrappable

  9. def IntParam(i: Identifiable, name: String, description: String, validation: (Int) ⇒ Boolean): IntParam

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    Definition Classes
    Wrappable

  10. def IntParam(i: Identifiable, name: String, description: String, default: Int): IntParam

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    Definition Classes
    Wrappable

  11. def IntParam(i: Identifiable, name: String, description: String): IntParam

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    Definition Classes
    Wrappable

  12. def LongParam(i: Identifiable, name: String, description: String, default: Long): LongParam

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    Definition Classes
    Wrappable

  13. def LongParam(i: Identifiable, name: String, description: String): LongParam

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    Definition Classes
    Wrappable

  14. def StringParam(i: Identifiable, name: String, description: String, default: String, domain: Seq[String]): Param[String]

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    Definition Classes
    Wrappable

  15. def StringParam(i: Identifiable, name: String, description: String, default: String): Param[String]

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    Definition Classes
    Wrappable

  16. def StringParam(i: Identifiable, name: String, description: String, validation: (String) ⇒ Boolean): Param[String]

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    Definition Classes
    Wrappable

  17. def StringParam(i: Identifiable, name: String, description: String): Param[String]

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    Definition Classes
    Wrappable

  18. final def asInstanceOf[T0]: T0

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    Definition Classes
    Any

  19. def chainedUid(origin: String): String

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    Definition Classes
    Wrappable

  20. final def clear(param: Param[_]): DataConversion.this.type

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    Definition Classes
    Params

  21. def clone(): AnyRef

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    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

  22. val cols: StringArrayParam

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    Comma separated list of columns whose type will be converted

  23. val convertTo: Param[String]

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    The result type

  24. def copy(extra: ParamMap): DataConversion

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    Copy the class, with extra params

    Copy the class, with extra params

    Definition Classes
    DataConversion → Transformer → PipelineStage → Params

  25. def copyValues[T <: Params](to: T, extra: ParamMap): T

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    Attributes
    protected
    Definition Classes
    Params

  26. val dateTimeFormat: Param[String]

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    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

  27. final def defaultCopy[T <: Params](extra: ParamMap): T

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    Attributes
    protected
    Definition Classes
    Params

  28. final def eq(arg0: AnyRef): Boolean

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    Definition Classes
    AnyRef

  29. def equals(arg0: Any): Boolean

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    Definition Classes
    AnyRef → Any

  30. def explainParam(param: Param[_]): String

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    Definition Classes
    Params

  31. def explainParams(): String

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    Definition Classes
    Params

  32. final def extractParamMap(): ParamMap

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    Definition Classes
    Params

  33. final def extractParamMap(extra: ParamMap): ParamMap

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    Definition Classes
    Params

  34. def finalize(): Unit

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    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( classOf[java.lang.Throwable] )

  35. final def get[T](param: Param[T]): Option[T]

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    Definition Classes
    Params

  36. final def getClass(): Class[_]

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    Definition Classes
    AnyRef → Any

  37. final def getCols: Array[String]

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  38. final def getConvertTo: String

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  39. final def getDateTimeFormat: String

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  40. final def getDefault[T](param: Param[T]): Option[T]

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    Definition Classes
    Params

  41. final def getOrDefault[T](param: Param[T]): T

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    Definition Classes
    Params

  42. def getParam(paramName: String): Param[Any]

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    Definition Classes
    Params

  43. final def hasDefault[T](param: Param[T]): Boolean

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    Definition Classes
    Params

  44. def hasParam(paramName: String): Boolean

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    Definition Classes
    Params

  45. def hashCode(): Int

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    Definition Classes
    AnyRef → Any

  46. def initializeLogIfNecessary(isInterpreter: Boolean, silent: Boolean): Boolean

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    Attributes
    protected
    Definition Classes
    Logging

  47. def initializeLogIfNecessary(isInterpreter: Boolean): Unit

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    Attributes
    protected
    Definition Classes
    Logging

  48. final def isDefined(param: Param[_]): Boolean

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    Definition Classes
    Params

  49. final def isInstanceOf[T0]: Boolean

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    Definition Classes
    Any

  50. final def isSet(param: Param[_]): Boolean

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    Definition Classes
    Params

  51. def isTraceEnabled(): Boolean

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    Attributes
    protected
    Definition Classes
    Logging

  52. def log: Logger

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    Attributes
    protected
    Definition Classes
    Logging

  53. def logDebug(msg: ⇒ String, throwable: Throwable): Unit

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    Attributes
    protected
    Definition Classes
    Logging

  54. def logDebug(msg: ⇒ String): Unit

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    Attributes
    protected
    Definition Classes
    Logging

  55. def logError(msg: ⇒ String, throwable: Throwable): Unit

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    Attributes
    protected
    Definition Classes
    Logging

  56. def logError(msg: ⇒ String): Unit

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    Attributes
    protected
    Definition Classes
    Logging

  57. def logInfo(msg: ⇒ String, throwable: Throwable): Unit

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    Attributes
    protected
    Definition Classes
    Logging

  58. def logInfo(msg: ⇒ String): Unit

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    Attributes
    protected
    Definition Classes
    Logging

  59. def logName: String

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    Attributes
    protected
    Definition Classes
    Logging

  60. def logTrace(msg: ⇒ String, throwable: Throwable): Unit

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    Attributes
    protected
    Definition Classes
    Logging

  61. def logTrace(msg: ⇒ String): Unit

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    Attributes
    protected
    Definition Classes
    Logging

  62. def logWarning(msg: ⇒ String, throwable: Throwable): Unit

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    Attributes
    protected
    Definition Classes
    Logging

  63. def logWarning(msg: ⇒ String): Unit

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    Attributes
    protected
    Definition Classes
    Logging

  64. final def ne(arg0: AnyRef): Boolean

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    Definition Classes
    AnyRef

  65. final def notify(): Unit

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    Definition Classes
    AnyRef

  66. final def notifyAll(): Unit

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    Definition Classes
    AnyRef

  67. val paramDomains: Map[String, Seq[String]]

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    Definition Classes
    Wrappable

  68. lazy val params: Array[Param[_]]

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    Definition Classes
    Params

  69. def save(path: String): Unit

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    Definition Classes
    MLWritable
    Annotations
    @Since( "1.6.0" ) @throws( ... )

  70. final def set(paramPair: ParamPair[_]): DataConversion.this.type

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    Attributes
    protected
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    Params

  71. final def set(param: String, value: Any): DataConversion.this.type

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    Attributes
    protected
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    Params

  72. final def set[T](param: Param[T], value: T): DataConversion.this.type

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    Definition Classes
    Params

  73. def setCols(value: Array[String]): DataConversion.this.type

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

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

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  76. final def setDefault(paramPairs: ParamPair[_]*): DataConversion.this.type

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    Attributes
    protected
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    Params

  77. final def setDefault[T](param: Param[T], value: T): DataConversion.this.type

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    Attributes
    protected
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    Params

  78. final def synchronized[T0](arg0: ⇒ T0): T0

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    Definition Classes
    AnyRef

  79. def toString(): String

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    Definition Classes
    Identifiable → AnyRef → Any

  80. def transform(dataset: Dataset[_]): DataFrame

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    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

  81. def transform(dataset: Dataset[_], paramMap: ParamMap): DataFrame

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    Definition Classes
    Transformer
    Annotations
    @Since( "2.0.0" )

  82. def transform(dataset: Dataset[_], firstParamPair: ParamPair[_], otherParamPairs: ParamPair[_]*): DataFrame

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    Definition Classes
    Transformer
    Annotations
    @Since( "2.0.0" ) @varargs()

  83. def transformSchema(schema: StructType): StructType

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    Transform the schema

    Transform the schema

    returns

    modified schema

    Definition Classes
    DataConversion → PipelineStage

  84. def transformSchema(schema: StructType, logging: Boolean): StructType

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    Attributes
    protected
    Definition Classes
    PipelineStage
    Annotations
    @DeveloperApi()

  85. val uid: String

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    The id of the module

    The id of the module

    Definition Classes
    DataConversion → Identifiable

  86. final def wait(): Unit

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

  87. final def wait(arg0: Long, arg1: Int): Unit

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

  88. final def wait(arg0: Long): Unit

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

  89. def write: MLWriter

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    Definition Classes
    DefaultParamsWritable → MLWritable

Inherited from MMLParams

Inherited from DefaultParamsWritable

Inherited from MLWritable

Inherited from Wrappable

Inherited from Transformer

Inherited from PipelineStage

Inherited from org.apache.spark.internal.Logging

Inherited from Params

Inherited from Serializable

Inherited from Serializable

Inherited from Identifiable

Inherited from AnyRef

Inherited from Any

Parameters

A list of parameter keys this algorithm can take. Users can set and get the parameter values through setters and getters

Parameter setters

Parameter getters

Members