IntParamWrapper

Value Members

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

   

   Definition Classes

   AnyRef → Any

2. final def ##(): Int

   

   Definition Classes

   AnyRef → Any

3. def ->(value: Double): ParamPair[Double]

   

   Definition Classes

   Param

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

   

   Definition Classes

   AnyRef → Any

5. final def asInstanceOf[T0]: T0

   

   Definition Classes

   Any

6. def canEqual(other: Any): Boolean

   

   Definition Classes

   Param

7. def clone(): AnyRef

   

   Attributes

   protected[java.lang]

   Definition Classes

   AnyRef

   Annotations

   @throws( ... )

8. def constraints: String

   

   Definition Classes

   HasValidator → Param

9. def convert(value: Double)(schema: StructType): Int

   

   Convert deeplang parameter value to wrapped Spark parameter value.

   Convert deeplang parameter value to wrapped Spark parameter value.

   value

   deeplang parameter value

   schema

   DataFrame schema, used in column selectors to extract column names

   returns

   Spark parameter value

   Definition Classes

   IntParamWrapper → SparkParamWrapper

10. def convertAny(value: Any)(schema: StructType): Int

    

    Definition Classes

    SparkParamWrapper

11. val description: Option[String]

    

    Definition Classes

    IntParamWrapper → NumericParam → Param

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

    

    Definition Classes

    AnyRef

13. def equals(other: Any): Boolean

    

    Definition Classes

    Param → AnyRef → Any

14. def extraJsFields: Map[String, JsValue]

    

    Subclasses should overwrite this method if they want to add custom fields to json description.

    Subclasses should overwrite this method if they want to add custom fields to json description.

    Attributes

    protected

    Definition Classes

    HasValidator → Param

15. def finalize(): Unit

    

    Attributes

    protected[java.lang]

    Definition Classes

    AnyRef

    Annotations

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

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

    

    Definition Classes

    AnyRef → Any

17. def hashCode(): Int

    

    Definition Classes

    Param → AnyRef → Any

18. val isGriddable: Boolean

    

    Definition Classes

    NumericParam → Param

19. final def isInstanceOf[T0]: Boolean

    

    Definition Classes

    Any

20. val name: String

    

    Definition Classes

    IntParamWrapper → NumericParam → Param

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

    

    Definition Classes

    AnyRef

22. def nestedWrappers: Seq[SparkParamWrapper[_, _, _]]

    
    returns

    Wrappers for nested parameters

    Definition Classes

    SparkParamWrapper

23. final def notify(): Unit

    

    Definition Classes

    AnyRef

24. final def notifyAll(): Unit

    

    Definition Classes

    AnyRef

25. val parameterType: ParameterType.Value

    

    Definition Classes

    NumericParam → Param

26. def replicate(name: String): IntParamWrapper[P]

    

    Used to extract public parameters in custom transformer.

    Used to extract public parameters in custom transformer.

    name

    name of replicated parameter

    returns

    replicated parameter

    Definition Classes

    IntParamWrapper → NumericParam → Param

27. def serializeDefault(default: Double): JsValue

    

    Describes default serialization of default values.

    Describes default serialization of default values.

    default

    Default value of parameter

    Attributes

    protected

    Definition Classes

    Param

28. def sparkParam(sparkEntity: org.apache.spark.ml.param.Params): org.apache.spark.ml.param.Param[Int]

    

    This method extracts wrapped Spark parameter from Params, using a function defined as sparkParamGetter.

    This method extracts wrapped Spark parameter from Params, using a function defined as sparkParamGetter. The method is used in ParamsWithSparkWrappers to get parameter values.

    sparkEntity

    Spark params

    returns

    Wrapped Spark parameter

    Definition Classes

    SparkParamWrapper

29. val sparkParamGetter: (P) ⇒ IntParam

    

    This function should extract wrapped parameter from Spark params of type P.

    This function should extract wrapped parameter from Spark params of type P.

    Definition Classes

    IntParamWrapper → SparkParamWrapper

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

    

    Definition Classes

    AnyRef

31. final def toJson(maybeDefault: Option[Any]): JsObject

    

    Describes json representation of this parameter.

    Describes json representation of this parameter.

    maybeDefault

    Optional default value of parameter. Should be of type Option[T], but we need to receive Any because Params have to use this method without knowing T.

    Definition Classes

    Param

32. def toString(): String

    

    Definition Classes

    Param → AnyRef → Any

33. def validate(value: Double): Vector[DeepLangException]

    

    Definition Classes

    HasValidator → Param

34. val validator: Validator[Double]

    

    Definition Classes

    IntParamWrapper → NumericParam → HasValidator

35. def valueFromJson(jsValue: JsValue, graphReader: GraphReader): Double

    

    Definition Classes

    ParamWithJsFormat → Param

36. def valueToJson(value: Double): JsValue

    

    Definition Classes

    ParamWithJsFormat → Param

37. final def wait(): Unit

    

    Definition Classes

    AnyRef

    Annotations

    @throws( ... )

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

    

    Definition Classes

    AnyRef

    Annotations

    @throws( ... )

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

    

    Definition Classes

    AnyRef

    Annotations

    @throws( ... )