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: (FewShotClassifierModel, String, SparkSession) ⇒ Unit): Unit

   Definition Classes

   ParamsAndFeaturesReadable

5.  final def asInstanceOf[T0]: T0

   Definition Classes

   Any

6.  def clone(): AnyRef

   Attributes

   protected[lang]

   Definition Classes

   AnyRef

   Annotations

   @throws( ... ) @native()

7.  val defaultLang: String

   Definition Classes

   HasPretrained

8.  lazy val defaultLoc: String

   Definition Classes

   FewShotClassifierModel → ReadablePretrainedGenericClassifier → HasPretrained

9.  val defaultModelName: Some[String]

   Definition Classes

   FewShotClassifierModel → ReadablePretrainedGenericClassifier → HasPretrained

10.  val defaultPreferredEngine: String

    Definition Classes

    HasPretrained

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

    Definition Classes

    AnyRef

12.  def equals(arg0: Any): Boolean

    Definition Classes

    AnyRef → Any

13.  implicit val evidence: ClassTag[FewShotClassifierModel]

    Definition Classes

    ReadsGenericClassifierGraph

14.  def finalize(): Unit

    Attributes

    protected[lang]

    Definition Classes

    AnyRef

    Annotations

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

15.  final def getClass(): Class[_]

    Definition Classes

    AnyRef → Any

    Annotations

    @native()

16.  def hashCode(): Int

    Definition Classes

    AnyRef → Any

    Annotations

    @native()

17.  final def isInstanceOf[T0]: Boolean

    Definition Classes

    Any

18.  def load(path: String): FewShotClassifierModel

    Definition Classes

    MLReadable

    Annotations

    @Since( "1.6.0" )

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

    Definition Classes

    AnyRef

20.  final def notify(): Unit

    Definition Classes

    AnyRef

    Annotations

    @native()

21.  final def notifyAll(): Unit

    Definition Classes

    AnyRef

    Annotations

    @native()

22.  def onRead(instance: FewShotClassifierModel, path: String, session: SparkSession): Unit

    Attributes

    protected

    Definition Classes

    ParamsAndFeaturesReadable

23.  def pretrained(name: String, lang: String, remoteLoc: String): FewShotClassifierModel

    Definition Classes

    ReadablePretrainedGenericClassifier → HasPretrained

24.  def pretrained(name: String, lang: String): FewShotClassifierModel

    Definition Classes

    ReadablePretrainedGenericClassifier → HasPretrained

25.  def pretrained(name: String): FewShotClassifierModel

    Definition Classes

    ReadablePretrainedGenericClassifier → HasPretrained

26.  def pretrained(): FewShotClassifierModel

    Java compliant-overrides

    Java compliant-overrides

    Definition Classes

    ReadablePretrainedGenericClassifier → HasPretrained

27.  def pretrained(name: String, lang: String, remoteLoc: String, preferredEngine: String): FewShotClassifierModel

    Definition Classes

    HasPretrained

28.  def pretrainedEngine(name: String, lang: String, preferredEngine: String): FewShotClassifierModel

    Definition Classes

    HasPretrained

29.  def pretrainedEngine(name: String, preferredEngine: String): FewShotClassifierModel

    Definition Classes

    HasPretrained

30.  def read: MLReader[FewShotClassifierModel]

    Definition Classes

    ParamsAndFeaturesReadable → DefaultParamsReadable → MLReadable

31.  def readGenericClassifierGraph(instance: FewShotClassifierModel, path: String, spark: SparkSession): Unit

    Definition Classes

    ReadsGenericClassifierGraph

32.  def readTensorflowChkPoints(path: String, spark: SparkSession, suffix: String, zipped: Boolean, tags: Array[String], initAllTables: Boolean): TensorflowWrapper

    Definition Classes

    ReadTensorflowModel

33.  def readTensorflowHub(path: String, spark: SparkSession, suffix: String, zipped: Boolean, useBundle: Boolean, tags: Array[String]): TensorflowWrapper

    Definition Classes

    ReadTensorflowModel

34.  def readTensorflowModel(path: String, spark: SparkSession, suffix: String, zipped: Boolean, useBundle: Boolean, tags: Array[String], initAllTables: Boolean, savedSignatures: Option[Map[String, String]]): TensorflowWrapper

    Definition Classes

    ReadTensorflowModel

35.  def readTensorflowWithSPModel(path: String, spark: SparkSession, suffix: String, zipped: Boolean, useBundle: Boolean, tags: Array[String], initAllTables: Boolean, loadSP: Boolean): TensorflowWrapper

    Definition Classes

    ReadTensorflowModel

36.  val readers: ArrayBuffer[(FewShotClassifierModel, String, SparkSession) ⇒ Unit]

    Attributes

    protected

    Definition Classes

    ParamsAndFeaturesReadable

37.  val skipPreferredEngine: Boolean

    Definition Classes

    HasPretrained

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

    Definition Classes

    AnyRef

39.  val tfFile: String

    Definition Classes

    ReadsGenericClassifierGraph → ReadTensorflowModel

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()