ForwardSparkParamWrapper

abstract val description: Option[String]

abstract val name: String

abstract val parameterType: ParameterType

abstract def replicate(name: String): Param[T]

Used to extract public parameters in custom transformer.

abstract val sparkParamGetter: (P) ⇒ org.apache.spark.ml.param.Param[T]

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

abstract def valueFromJson(jsValue: JsValue, graphReader: GraphReader): T

abstract def valueToJson(value: T): JsValue

final def !=(arg0: Any): Boolean

final def ##(): Int

def ->(value: T): ParamPair[T]

final def ==(arg0: Any): Boolean

final def asInstanceOf[T0]: T0

def canEqual(other: Any): Boolean

def clone(): AnyRef

def constraints: String

def convert(value: T)(schema: StructType): T

Convert deeplang parameter value to wrapped Spark parameter value.

def convertAny(value: Any)(schema: StructType): T

final def eq(arg0: AnyRef): Boolean

def equals(other: Any): Boolean

def extraJsFields: Map[String, JsValue]

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

def finalize(): Unit

final def getClass(): Class[_]

def hashCode(): Int

val isGriddable: Boolean

final def isInstanceOf[T0]: Boolean

final def ne(arg0: AnyRef): Boolean

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

final def notify(): Unit

final def notifyAll(): Unit

def serializeDefault(default: T): JsValue

Describes default serialization of default values.

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

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

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

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

Describes json representation of this parameter.

def toString(): String

def validate(value: T): Vector[DeepLangException]

final def wait(): Unit

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

final def wait(arg0: Long): Unit