trait HasCandidateLabelsProperties extends ParamsAndFeaturesWritable
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final
def
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final
def
##(): Int
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final
def
$[T](param: Param[T]): T
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def
$$[T](feature: StructFeature[T]): T
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def
$$[K, V](feature: MapFeature[K, V]): Map[K, V]
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def
$$[T](feature: SetFeature[T]): Set[T]
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def
$$[T](feature: ArrayFeature[T]): Array[T]
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def
==(arg0: Any): Boolean
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final
def
asInstanceOf[T0]: T0
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val
candidateLabels: StringArrayParam
Candidate labels for classification, you can set candidateLabels dynamically during the runtime
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final
def
clear(param: Param[_]): HasCandidateLabelsProperties.this.type
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def
clone(): AnyRef
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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 entailmentIdParam: IntParam
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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
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final
def
extractParamMap(): ParamMap
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final
def
extractParamMap(extra: ParamMap): ParamMap
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val
features: ArrayBuffer[Feature[_, _, _]]
- Definition Classes
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def
finalize(): Unit
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def
get[T](feature: StructFeature[T]): Option[T]
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def
get[K, V](feature: MapFeature[K, V]): Option[Map[K, V]]
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def
get[T](feature: SetFeature[T]): Option[Set[T]]
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def
get[T](feature: ArrayFeature[T]): Option[Array[T]]
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final
def
get[T](param: Param[T]): Option[T]
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- def getCandidateLabels: Array[String]
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final
def
getClass(): Class[_]
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final
def
getDefault[T](param: Param[T]): Option[T]
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final
def
getOrDefault[T](param: Param[T]): T
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def
getParam(paramName: String): Param[Any]
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final
def
hasDefault[T](param: Param[T]): Boolean
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def
hasParam(paramName: String): Boolean
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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
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final
def
isSet(param: Param[_]): Boolean
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ne(arg0: AnyRef): Boolean
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def
notify(): Unit
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final
def
notifyAll(): Unit
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def
onWrite(path: String, spark: SparkSession): Unit
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lazy val
params: Array[Param[_]]
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def
save(path: String): Unit
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- @Since( "1.6.0" ) @throws( ... )
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def
set[T](feature: StructFeature[T], value: T): HasCandidateLabelsProperties.this.type
- Attributes
- protected
- Definition Classes
- HasFeatures
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def
set[K, V](feature: MapFeature[K, V], value: Map[K, V]): HasCandidateLabelsProperties.this.type
- Attributes
- protected
- Definition Classes
- HasFeatures
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def
set[T](feature: SetFeature[T], value: Set[T]): HasCandidateLabelsProperties.this.type
- Attributes
- protected
- Definition Classes
- HasFeatures
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def
set[T](feature: ArrayFeature[T], value: Array[T]): HasCandidateLabelsProperties.this.type
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final
def
set(paramPair: ParamPair[_]): HasCandidateLabelsProperties.this.type
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final
def
set(param: String, value: Any): HasCandidateLabelsProperties.this.type
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final
def
set[T](param: Param[T], value: T): HasCandidateLabelsProperties.this.type
- Definition Classes
- Params
- def setCandidateLabels(value: Array[String]): HasCandidateLabelsProperties.this.type
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def
setDefault[T](feature: StructFeature[T], value: () ⇒ T): HasCandidateLabelsProperties.this.type
- Attributes
- protected
- Definition Classes
- HasFeatures
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def
setDefault[K, V](feature: MapFeature[K, V], value: () ⇒ Map[K, V]): HasCandidateLabelsProperties.this.type
- Attributes
- protected
- Definition Classes
- HasFeatures
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def
setDefault[T](feature: SetFeature[T], value: () ⇒ Set[T]): HasCandidateLabelsProperties.this.type
- Attributes
- protected
- Definition Classes
- HasFeatures
-
def
setDefault[T](feature: ArrayFeature[T], value: () ⇒ Array[T]): HasCandidateLabelsProperties.this.type
- Attributes
- protected
- Definition Classes
- HasFeatures
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final
def
setDefault(paramPairs: ParamPair[_]*): HasCandidateLabelsProperties.this.type
- Attributes
- protected
- Definition Classes
- Params
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final
def
setDefault[T](param: Param[T], value: T): HasCandidateLabelsProperties.this.type
- Attributes
- protected[org.apache.spark.ml]
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final
def
synchronized[T0](arg0: ⇒ T0): T0
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def
toString(): String
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final
def
wait(): Unit
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final
def
wait(arg0: Long, arg1: Int): Unit
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final
def
wait(arg0: Long): Unit
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def
write: MLWriter
- Definition Classes
- ParamsAndFeaturesWritable → DefaultParamsWritable → MLWritable