trait NerApproach[T <: NerApproach[_]] extends Params
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final
def
!=(arg0: Any): Boolean
- Definition Classes
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final
def
##(): Int
- Definition Classes
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final
def
$[T](param: Param[T]): T
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final
def
==(arg0: Any): Boolean
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final
def
asInstanceOf[T0]: T0
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final
def
clear(param: Param[_]): NerApproach.this.type
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def
clone(): AnyRef
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- protected[lang]
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def
copyValues[T <: Params](to: T, extra: ParamMap): T
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final
def
defaultCopy[T <: Params](extra: ParamMap): T
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val
entities: StringArrayParam
Entities to recognize
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final
def
eq(arg0: AnyRef): Boolean
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def
equals(arg0: Any): Boolean
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def
explainParam(param: Param[_]): String
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def
explainParams(): String
- Definition Classes
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final
def
extractParamMap(): ParamMap
- Definition Classes
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final
def
extractParamMap(extra: ParamMap): ParamMap
- Definition Classes
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def
finalize(): Unit
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final
def
get[T](param: Param[T]): Option[T]
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final
def
getClass(): Class[_]
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final
def
getDefault[T](param: Param[T]): Option[T]
- Definition Classes
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def
getMaxEpochs: Int
Maximum number of epochs to train
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def
getMinEpochs: Int
Minimum number of epochs to train
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final
def
getOrDefault[T](param: Param[T]): T
- Definition Classes
- Params
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def
getParam(paramName: String): Param[Any]
- Definition Classes
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def
getRandomSeed: Int
Random seed
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final
def
hasDefault[T](param: Param[T]): Boolean
- Definition Classes
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def
hasParam(paramName: String): Boolean
- Definition Classes
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def
hashCode(): Int
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final
def
isDefined(param: Param[_]): Boolean
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final
def
isInstanceOf[T0]: Boolean
- Definition Classes
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final
def
isSet(param: Param[_]): Boolean
- Definition Classes
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val
labelColumn: Param[String]
Column with label per each token
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val
maxEpochs: IntParam
Maximum number of epochs to train
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val
minEpochs: IntParam
Minimum number of epochs to train
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final
def
ne(arg0: AnyRef): Boolean
- Definition Classes
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final
def
notify(): Unit
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final
def
notifyAll(): Unit
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lazy val
params: Array[Param[_]]
- Definition Classes
- Params
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val
randomSeed: IntParam
Random seed
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final
def
set(paramPair: ParamPair[_]): NerApproach.this.type
- Attributes
- protected
- Definition Classes
- Params
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final
def
set(param: String, value: Any): NerApproach.this.type
- Attributes
- protected
- Definition Classes
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final
def
set[T](param: Param[T], value: T): NerApproach.this.type
- Definition Classes
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final
def
setDefault(paramPairs: ParamPair[_]*): NerApproach.this.type
- Attributes
- protected
- Definition Classes
- Params
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final
def
setDefault[T](param: Param[T], value: T): NerApproach.this.type
- Attributes
- protected[org.apache.spark.ml]
- Definition Classes
- Params
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def
setEntities(tags: Array[String]): T
Entities to recognize
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def
setLabelColumn(column: String): T
Column with label per each token
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def
setMaxEpochs(epochs: Int): T
Maximum number of epochs to train
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def
setMinEpochs(epochs: Int): T
Minimum number of epochs to train
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def
setRandomSeed(seed: Int): T
Random seed
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final
def
synchronized[T0](arg0: ⇒ T0): T0
- Definition Classes
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def
toString(): String
- Definition Classes
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final
def
wait(): Unit
- Definition Classes
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- Annotations
- @throws( ... )
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final
def
wait(arg0: Long, arg1: Int): Unit
- Definition Classes
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- @throws( ... )
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final
def
wait(arg0: Long): Unit
- Definition Classes
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Inherited from Params
Inherited from Serializable
Inherited from Serializable
Inherited from Identifiable
Inherited from AnyRef
Inherited from Any
Parameters
A list of (hyper-)parameter keys this annotator can take. Users can set and get the parameter values through setters and getters, respectively.