StandardScalerModel

Value Members

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

   Definition Classes

   AnyRef

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

   Definition Classes

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3. final def ##(): Int

   Definition Classes

   AnyRef → Any

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

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

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   Any

6. def addOutputColumn(schema: StructType, colName: String, dataType: DataType): StructType

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   protected

   Definition Classes

   Params

7. final def asInstanceOf[T0]: T0

   Definition Classes

   Any

8. def checkInputColumn(schema: StructType, colName: String, dataType: DataType): Unit

   Check whether the given schema contains an input column.

   Check whether the given schema contains an input column.

   colName

   Parameter name for the input column.

   dataType

   SQL DataType of the input column.

   Attributes

   protected

   Definition Classes

   Params

9. def clone(): AnyRef

   Attributes

   protected[java.lang]

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   Annotations

   @throws( ... )

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

    Definition Classes

    AnyRef

11. def equals(arg0: Any): Boolean

    Definition Classes

    AnyRef → Any

12. def explainParams(): String

    Returns the documentation of all params.

    Returns the documentation of all params.

    Definition Classes

    Params

13. def finalize(): Unit

    Attributes

    protected[java.lang]

    Definition Classes

    AnyRef

    Annotations

    @throws( classOf[java.lang.Throwable] )

14. val fittingParamMap: ParamMap

    Fitting parameters, such that parent.

    Fitting parameters, such that parent.fit(..., fittingParamMap) could reproduce the model.

    Definition Classes

    StandardScalerModel → Model

15. def get[T](param: Param[T]): T

    Gets the value of a parameter in the embedded param map.

    Gets the value of a parameter in the embedded param map.

    Attributes

    protected

    Definition Classes

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

    Definition Classes

    AnyRef → Any

17. def getInputCol: String

    Definition Classes

    HasInputCol

18. def getOutputCol: String

    Definition Classes

    HasOutputCol

19. def hashCode(): Int

    Definition Classes

    AnyRef → Any

20. val inputCol: Param[String]

    param for input column name

    param for input column name

    Definition Classes

    HasInputCol

21. final def isInstanceOf[T0]: Boolean

    Definition Classes

    Any

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

    Checks whether a param is explicitly set.

    Checks whether a param is explicitly set.

    Definition Classes

    Params

23. def isTraceEnabled(): Boolean

    Attributes

    protected

    Definition Classes

    Logging

24. def log: Logger

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    Definition Classes

    Logging

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

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    protected

    Definition Classes

    Logging

26. def logDebug(msg: ⇒ String): Unit

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    protected

    Definition Classes

    Logging

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

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    Definition Classes

    Logging

28. def logError(msg: ⇒ String): Unit

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    protected

    Definition Classes

    Logging

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

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    protected

    Definition Classes

    Logging

30. def logInfo(msg: ⇒ String): Unit

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    protected

    Definition Classes

    Logging

31. def logName: String

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    Definition Classes

    Logging

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

    Attributes

    protected

    Definition Classes

    Logging

33. def logTrace(msg: ⇒ String): Unit

    Attributes

    protected

    Definition Classes

    Logging

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

    Attributes

    protected

    Definition Classes

    Logging

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

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    Logging

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

    Definition Classes

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37. final def notify(): Unit

    Definition Classes

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38. final def notifyAll(): Unit

    Definition Classes

    AnyRef

39. val outputCol: Param[String]

    param for output column name

    param for output column name

    Definition Classes

    HasOutputCol

40. val paramMap: ParamMap

    Internal param map.

    Internal param map.

    Attributes

    protected

    Definition Classes

    Params

41. def params: Array[Param[_]]

    Returns all params.

    Returns all params.

    Definition Classes

    Params

42. val parent: StandardScaler

    The parent estimator that produced this model.

    The parent estimator that produced this model.

    Definition Classes

    StandardScalerModel → Model

43. def set[T](param: Param[T], value: T): StandardScalerModel.this.type

    Sets a parameter in the embedded param map.

    Sets a parameter in the embedded param map.

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    protected

    Definition Classes

    Params

44. def setInputCol(value: String): StandardScalerModel.this.type

45. def setOutputCol(value: String): StandardScalerModel.this.type

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

    Definition Classes

    AnyRef

47. def toString(): String

    Definition Classes

    AnyRef → Any

48. def transform(dataset: DataFrame, paramMap: ParamMap): DataFrame

    Transforms the dataset with provided parameter map as additional parameters.

    Transforms the dataset with provided parameter map as additional parameters.

    dataset

    input dataset

    paramMap

    additional parameters, overwrite embedded params

    returns

    transformed dataset

    Definition Classes

    StandardScalerModel → Transformer

49. def transform(dataset: DataFrame, paramPairs: ParamPair[_]*): DataFrame

    Transforms the dataset with optional parameters

    Transforms the dataset with optional parameters

    dataset

    input dataset

    paramPairs

    optional list of param pairs, overwrite embedded params

    returns

    transformed dataset

    Definition Classes

    Transformer

    Annotations

    @varargs()

50. def transformSchema(schema: StructType, paramMap: ParamMap): StructType

    :: DeveloperApi ::

    :: DeveloperApi ::

    Derives the output schema from the input schema and parameters. The schema describes the columns and types of the data.

    schema

    Input schema to this stage

    paramMap

    Parameters passed to this stage

    returns

    Output schema from this stage

    Definition Classes

    StandardScalerModel → PipelineStage

51. def transformSchema(schema: StructType, paramMap: ParamMap, logging: Boolean): StructType

    Derives the output schema from the input schema and parameters, optionally with logging.

    Derives the output schema from the input schema and parameters, optionally with logging.

    Attributes

    protected

    Definition Classes

    PipelineStage

52. def validate(): Unit

    Validates parameter values stored internally.

    Validates parameter values stored internally. Raise an exception if any parameter value is invalid.

    Definition Classes

    Params

53. def validate(paramMap: ParamMap): Unit

    Validates parameter values stored internally plus the input parameter map.

    Validates parameter values stored internally plus the input parameter map. Raises an exception if any parameter is invalid.

    Definition Classes

    Params

54. final def wait(): Unit

    Definition Classes

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    Annotations

    @throws( ... )

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

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    @throws( ... )

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

    Definition Classes

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    @throws( ... )