o
com.johnsnowlabs.nlp.annotators.disambiguation
NerDisambiguatorModel
Companion class NerDisambiguatorModel
object NerDisambiguatorModel extends ParamsAndFeaturesReadable[NerDisambiguatorModel] with ReadDisambiguator with ReadPretrainedNerDisambiguator with Serializable
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- NerDisambiguatorModel
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- ReadPretrainedNerDisambiguator
- HasPretrained
- ReadDisambiguator
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- DefaultParamsReadable
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final
def
!=(arg0: Any): Boolean
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final
def
##(): Int
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final
def
==(arg0: Any): Boolean
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def
addReader(reader: (NerDisambiguatorModel, String, SparkSession) ⇒ Unit): Unit
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final
def
asInstanceOf[T0]: T0
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def
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val
defaultLang: String
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- HasPretrained
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lazy val
defaultLoc: String
- Definition Classes
- ReadPretrainedNerDisambiguator → HasPretrained
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val
defaultModelName: Option[String]
- Definition Classes
- ReadPretrainedNerDisambiguator → HasPretrained
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final
def
eq(arg0: AnyRef): Boolean
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def
equals(arg0: Any): Boolean
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finalize(): Unit
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hashCode(): Int
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final
def
isInstanceOf[T0]: Boolean
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def
load(path: String): NerDisambiguatorModel
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final
def
ne(arg0: AnyRef): Boolean
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final
def
notify(): Unit
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final
def
notifyAll(): Unit
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def
pretrained(name: String, lang: String, remoteLoc: String): NerDisambiguatorModel
- Definition Classes
- ReadPretrainedNerDisambiguator → HasPretrained
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def
pretrained(name: String, lang: String): NerDisambiguatorModel
- Definition Classes
- ReadPretrainedNerDisambiguator → HasPretrained
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def
pretrained(name: String): NerDisambiguatorModel
- Definition Classes
- ReadPretrainedNerDisambiguator → HasPretrained
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def
pretrained(): NerDisambiguatorModel
- Definition Classes
- ReadPretrainedNerDisambiguator → HasPretrained
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def
read: MLReader[NerDisambiguatorModel]
- Definition Classes
- ParamsAndFeaturesReadable → DefaultParamsReadable → MLReadable
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def
readDBs(instance: NerDisambiguatorModel, path: String, spark: SparkSession): Unit
- Definition Classes
- ReadDisambiguator
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final
def
synchronized[T0](arg0: ⇒ T0): T0
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def
toString(): String
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wait(): Unit
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def
wait(arg0: Long, arg1: Int): Unit
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final
def
wait(arg0: Long): Unit
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