o
com.johnsnowlabs.nlp.annotators.ner
MedicalLLMEntityExtractor
Companion class MedicalLLMEntityExtractor
object MedicalLLMEntityExtractor extends ReadablePretrainedMedicalLLMEntityExtractor with ReadMedicalLLMEntityExtractor with Serializable
This is the companion object of MedicalLLMEntityExtractor. Please refer to that class for the documentation.
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Inherited
- MedicalLLMEntityExtractor
- Serializable
- Serializable
- ReadMedicalLLMEntityExtractor
- CheckLicense
- ReadablePretrainedMedicalLLMEntityExtractor
- HasPretrained
- ParamsAndFeaturesFallbackReadable
- ParamsAndFeaturesReadable
- DefaultParamsReadable
- MLReadable
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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
- Definition Classes
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def
addReader(reader: (MedicalLLMEntityExtractor, String, SparkSession) ⇒ Unit): Unit
- Definition Classes
- ParamsAndFeaturesReadable
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final
def
asInstanceOf[T0]: T0
- Definition Classes
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def
checkValidEnvironment(spark: Option[SparkSession], scopes: Seq[String], metadata: Option[Map[String, Value]]): Unit
- Definition Classes
- CheckLicense
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def
checkValidScope(scope: String): Unit
- Definition Classes
- CheckLicense
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def
checkValidScopeAndEnvironment(scope: String, spark: Option[SparkSession], checkLp: Boolean, metadata: Option[Map[String, Value]]): Unit
- Definition Classes
- CheckLicense
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def
checkValidScopesAndEnvironment(scopes: Seq[String], spark: Option[SparkSession], checkLp: Boolean, metadata: Option[Map[String, Value]]): Unit
- Definition Classes
- CheckLicense
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def
clone(): AnyRef
- Attributes
- protected[lang]
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- Annotations
- @throws( ... ) @native()
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val
defaultLang: String
- Definition Classes
- ReadablePretrainedMedicalLLMEntityExtractor → HasPretrained
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lazy val
defaultLoc: String
- Definition Classes
- ReadablePretrainedMedicalLLMEntityExtractor → HasPretrained
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val
defaultModelName: Some[String]
- Definition Classes
- ReadablePretrainedMedicalLLMEntityExtractor → HasPretrained
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val
defaultPreferredEngine: String
- Definition Classes
- HasPretrained
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final
def
eq(arg0: AnyRef): Boolean
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def
equals(arg0: Any): Boolean
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def
fallbackLoad(folder: String, spark: SparkSession): MedicalLLMEntityExtractor
- Definition Classes
- ReadMedicalLLMEntityExtractor
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def
finalize(): Unit
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- protected[lang]
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- @throws( classOf[java.lang.Throwable] )
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final
def
getClass(): Class[_]
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def
hashCode(): Int
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final
def
isInstanceOf[T0]: Boolean
- Definition Classes
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def
load(path: String): MedicalLLMEntityExtractor
- Definition Classes
- MLReadable
- Annotations
- @Since( "1.6.0" )
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def
loadSavedModel(modelPath: String, spark: SparkSession, metadata: String = "", encode: Boolean = false): MedicalLLMEntityExtractor
- Definition Classes
- ReadMedicalLLMEntityExtractor
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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
onRead(instance: MedicalLLMEntityExtractor, path: String, session: SparkSession): Unit
- Attributes
- protected
- Definition Classes
- ParamsAndFeaturesReadable
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def
pretrained(name: String, lang: String, remoteLoc: String): MedicalLLMEntityExtractor
- Definition Classes
- ReadablePretrainedMedicalLLMEntityExtractor → HasPretrained
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def
pretrained(name: String, lang: String): MedicalLLMEntityExtractor
- Definition Classes
- ReadablePretrainedMedicalLLMEntityExtractor → HasPretrained
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def
pretrained(name: String): MedicalLLMEntityExtractor
- Definition Classes
- ReadablePretrainedMedicalLLMEntityExtractor → HasPretrained
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def
pretrained(): MedicalLLMEntityExtractor
Java compliant-overrides
Java compliant-overrides
- Definition Classes
- ReadablePretrainedMedicalLLMEntityExtractor → HasPretrained
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def
pretrained(name: String, lang: String, remoteLoc: String, preferredEngine: String): MedicalLLMEntityExtractor
- Definition Classes
- HasPretrained
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def
pretrainedEngine(name: String, lang: String, preferredEngine: String): MedicalLLMEntityExtractor
- Definition Classes
- HasPretrained
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def
pretrainedEngine(name: String, preferredEngine: String): MedicalLLMEntityExtractor
- Definition Classes
- HasPretrained
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def
read: MLReader[MedicalLLMEntityExtractor]
- Definition Classes
- ParamsAndFeaturesFallbackReadable → ParamsAndFeaturesReadable → DefaultParamsReadable → MLReadable
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def
readModel(instance: MedicalLLMEntityExtractor, path: String, spark: SparkSession): Unit
- Definition Classes
- ReadMedicalLLMEntityExtractor
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val
readers: ArrayBuffer[(MedicalLLMEntityExtractor, String, SparkSession) ⇒ Unit]
- Attributes
- protected
- Definition Classes
- ParamsAndFeaturesReadable
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val
skipPreferredEngine: Boolean
- Definition Classes
- HasPretrained
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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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