Value Members

1.  final def !=(arg0: Any): Boolean

   Definition Classes

   AnyRef → Any

2.  final def ##(): Int

   Definition Classes

   AnyRef → Any

3.  final def ==(arg0: Any): Boolean

   Definition Classes

   AnyRef → Any

4.  def addReader(reader: (LargeFewShotClassifierModel, String, SparkSession) ⇒ Unit): Unit

   Definition Classes

   ParamsAndFeaturesReadable

5.  final def asInstanceOf[T0]: T0

   Definition Classes

   Any

6.  val classifierOnnxFile: String

   Definition Classes

   ReadLargeFewShotClassifierModel

7.  def clone(): AnyRef

   Attributes

   protected[lang]

   Definition Classes

   AnyRef

   Annotations

   @throws( ... ) @native()

8.  val defaultLang: String

   Definition Classes

   HasPretrained

9.  lazy val defaultLoc: String

   Definition Classes

   ReadablePretrainedLargeFewShotClassifierModel → HasPretrained

10.  val defaultModelName: Some[String]

    Definition Classes

    ReadablePretrainedLargeFewShotClassifierModel → HasPretrained

11.  val defaultPreferredEngine: String

    Definition Classes

    HasPretrained

12.  val embeddingsOnnxFile: String

    Definition Classes

    ReadLargeFewShotClassifierModel

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

    Definition Classes

    AnyRef

14.  def equals(arg0: Any): Boolean

    Definition Classes

    AnyRef → Any

15.  def finalize(): Unit

    Attributes

    protected[lang]

    Definition Classes

    AnyRef

    Annotations

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

16.  final def getClass(): Class[_]

    Definition Classes

    AnyRef → Any

    Annotations

    @native()

17.  def hashCode(): Int

    Definition Classes

    AnyRef → Any

    Annotations

    @native()

18.  final def isInstanceOf[T0]: Boolean

    Definition Classes

    Any

19.  def load(path: String): LargeFewShotClassifierModel

    Definition Classes

    MLReadable

    Annotations

    @Since( "1.6.0" )

20.  def loadSavedModel(modelPath: String, spark: SparkSession, modelArchitecture: String, hasDifferentiableHead: Boolean = false): LargeFewShotClassifierModel

    Definition Classes

    ReadLargeFewShotClassifierModel

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

    Definition Classes

    AnyRef

22.  final def notify(): Unit

    Definition Classes

    AnyRef

    Annotations

    @native()

23.  final def notifyAll(): Unit

    Definition Classes

    AnyRef

    Annotations

    @native()

24.  def onRead(instance: LargeFewShotClassifierModel, path: String, session: SparkSession): Unit

    Attributes

    protected

    Definition Classes

    ParamsAndFeaturesReadable

25.  val onnxFile: String

    Definition Classes

    ReadLargeFewShotClassifierModel → InternalReadOnnxModel

26.  def pretrained(name: String, lang: String, remoteLoc: String): LargeFewShotClassifierModel

    Definition Classes

    ReadablePretrainedLargeFewShotClassifierModel → HasPretrained

27.  def pretrained(name: String, lang: String): LargeFewShotClassifierModel

    Definition Classes

    ReadablePretrainedLargeFewShotClassifierModel → HasPretrained

28.  def pretrained(name: String): LargeFewShotClassifierModel

    Definition Classes

    ReadablePretrainedLargeFewShotClassifierModel → HasPretrained

29.  def pretrained(): LargeFewShotClassifierModel

    Java compliant-overrides

    Java compliant-overrides

    Definition Classes

    ReadablePretrainedLargeFewShotClassifierModel → HasPretrained

30.  def pretrained(name: String, lang: String, remoteLoc: String, preferredEngine: String): LargeFewShotClassifierModel

    Definition Classes

    HasPretrained

31.  def pretrainedEngine(name: String, lang: String, preferredEngine: String): LargeFewShotClassifierModel

    Definition Classes

    HasPretrained

32.  def pretrainedEngine(name: String, preferredEngine: String): LargeFewShotClassifierModel

    Definition Classes

    HasPretrained

33.  def read: MLReader[LargeFewShotClassifierModel]

    Definition Classes

    ParamsAndFeaturesReadable → DefaultParamsReadable → MLReadable

34.  def readModel(instance: LargeFewShotClassifierModel, path: String, spark: SparkSession): Unit

    Definition Classes

    ReadLargeFewShotClassifierModel

35.  def readOnnxModel(path: String, spark: SparkSession, suffix: String, zipped: Boolean = true, useBundle: Boolean = false, modelName: Option[String] = None, tmpFolder: Option[String] = None): InternalOnnxWrapper

    Definition Classes

    InternalReadOnnxModel

36.  def readOnnxModels(path: String, spark: SparkSession, modelNames: Seq[String], suffix: String, zipped: Boolean = true, useBundle: Boolean = false): Map[String, InternalOnnxWrapper]

    Definition Classes

    InternalReadOnnxModel

37.  val readers: ArrayBuffer[(LargeFewShotClassifierModel, String, SparkSession) ⇒ Unit]

    Attributes

    protected

    Definition Classes

    ParamsAndFeaturesReadable

38.  val skipPreferredEngine: Boolean

    Definition Classes

    HasPretrained

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

    Definition Classes

    AnyRef

40.  def toString(): String

    Definition Classes

    AnyRef → Any

41.  final def wait(): Unit

    Definition Classes

    AnyRef

    Annotations

    @throws( ... )

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

    Definition Classes

    AnyRef

    Annotations

    @throws( ... )

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

    Definition Classes

    AnyRef

    Annotations

    @throws( ... ) @native()