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1.  final def !=(arg0: Any): Boolean

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2.  final def ##(): Int

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3.  final def ==(arg0: Any): Boolean

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4.  final def asInstanceOf[T0]: T0

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5.  def clone(): AnyRef

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   protected[lang]

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   @throws( ... ) @native()

6.  def downloadModel[TModel <: PipelineStage](reader: DefaultParamsReadable[TModel], name: String, language: Option[String] = None, folder: String = "clinical/models"): TModel
7.  def downloadModelDirectly(s3FilePath: String, folder: String, unzip: Boolean = true, cacheFolderPath: String = ""): Unit

   Downloads a model from the S3 bucket to the cache folder.

   Downloads a model from the S3 bucket to the cache folder.

   s3FilePath

   the name of the key in the S3 bucket or s3 URI

   folder

   the folder of the model in the s3

   unzip

   used to unzip the model, by default true

   cacheFolderPath

   the path of the file to download the model

8.  final def eq(arg0: AnyRef): Boolean

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9.  def equals(arg0: Any): Boolean

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10.  def finalize(): Unit

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    @throws( classOf[java.lang.Throwable] )

11.  final def getClass(): Class[_]

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    @native()

12.  def hashCode(): Int

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    @native()

13.  val internalResourceDownloader: ResourceDownloader.type
14.  final def isInstanceOf[T0]: Boolean

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15.  lazy val libVersion: Version
16.  def listprivateModels(): List[String]

    List all pretrained models in privaete name_lang

17.  final def ne(arg0: AnyRef): Boolean

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18.  final def notify(): Unit

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19.  final def notifyAll(): Unit

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    @native()

20.  val privateLocation: String
21.  def privateResourceString(annotator: Option[String] = None, lang: Option[String] = None, version: Option[String] = Some(Build.version), resourceType: ResourceType.ResourceType): String
22.  val privateS3ResourceDownloader: InternalS3ResourceDownloader
23.  def returnPrivateModels(annotator: String): List[List[String]]
24.  def returnPrivateModels(annotator: Option[String] = None, lang: Option[String] = None, version: Option[String] = Some(JSLBuild.version)): List[List[String]]

    Return all pretrained models for a particular annotator model, that are compatible with a version of Spark NLP.

    Return all pretrained models for a particular annotator model, that are compatible with a version of Spark NLP. If any of the optional arguments are not set, the filter is not considered.

    annotator

    Name of the model class, for example "NerDLModel"

    lang

    Language of the pretrained models to display, for example "en"

    version

    Version of Spark NLP that the model should be compatible with, for example "3.2.3"

25.  def returnPrivateResourceList(annotator: Option[String] = None, lang: Option[String] = None, version: Option[String] = Some(Build.version), resourceType: ResourceType.ResourceType): List[List[String]]
26.  def showAvailableAnnotators(): String
27.  def showPrivateModels(annotator: String): Unit

    Prints all pretrained models for a particular annotator model, that are compatible with this version of Spark NLP.

    Prints all pretrained models for a particular annotator model, that are compatible with this version of Spark NLP.

    annotator

    Name of the annotator class

28.  def showPrivateModels(annotator: Option[String] = None, lang: Option[String] = None, version: Option[String] = Some(JSLBuild.version)): Unit

    Prints all pretrained models for a particular annotator model, that are compatible with a version of Spark NLP.

    Prints all pretrained models for a particular annotator model, that are compatible with a version of Spark NLP. If any of the optional arguments are not set, the filter is not considered.

    annotator

    Name of the model class, for example "NerDLModel"

    lang

    Language of the pretrained models to display, for example "en"

    version

    Version of Spark NLP that the model should be compatible with, for example "3.2.3"

29.  final def synchronized[T0](arg0: ⇒ T0): T0

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30.  def toString(): String

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31.  final def wait(): Unit

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

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    @throws( ... )

33.  final def wait(arg0: Long): Unit

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