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

   Definition Classes

   ParamsAndFeaturesReadable

5.  def apply(model: PipelineStage): PipelineStage
6.  final def asInstanceOf[T0]: T0

   Definition Classes

   Any

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

   ReadablePretrainedBertAssertionClassifier → HasPretrained

10.  val defaultModelName: Some[String]

    Definition Classes

    ReadablePretrainedBertAssertionClassifier → HasPretrained

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

    Definition Classes

    AnyRef

12.  def equals(arg0: Any): Boolean

    Definition Classes

    AnyRef → Any

13.  def finalize(): Unit

    Attributes

    protected[lang]

    Definition Classes

    AnyRef

    Annotations

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

14.  final def getClass(): Class[_]

    Definition Classes

    AnyRef → Any

    Annotations

    @native()

15.  def getFromBertForSequenceClassification(model: MedicalBertForSequenceClassification): BertForAssertionClassification
16.  def hashCode(): Int

    Definition Classes

    AnyRef → Any

    Annotations

    @native()

17.  final def isInstanceOf[T0]: Boolean

    Definition Classes

    Any

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

    Definition Classes

    ReadablePretrainedBertAssertionClassifier → MLReadable

19.  def loadSavedModel(modelPath: String, spark: SparkSession): BertForAssertionClassification
20.  final def ne(arg0: AnyRef): Boolean

    Definition Classes

    AnyRef

21.  final def notify(): Unit

    Definition Classes

    AnyRef

    Annotations

    @native()

22.  final def notifyAll(): Unit

    Definition Classes

    AnyRef

    Annotations

    @native()

23.  def onRead(instance: BertForAssertionClassification, path: String, session: SparkSession): Unit

    Attributes

    protected

    Definition Classes

    ParamsAndFeaturesReadable

24.  val onnxFile: String

    Definition Classes

    ReadBertAssertionClassifier → ReadOnnxModel

25.  def pretrained(name: String, lang: String, remoteLoc: String): BertForAssertionClassification

    Java compliant-overrides

    Java compliant-overrides

    Definition Classes

    ReadablePretrainedBertAssertionClassifier → HasPretrained

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

    Definition Classes

    ReadablePretrainedBertAssertionClassifier → HasPretrained

27.  def pretrained(name: String): BertForAssertionClassification

    Definition Classes

    ReadablePretrainedBertAssertionClassifier → HasPretrained

28.  def pretrained(): BertForAssertionClassification

    Definition Classes

    ReadablePretrainedBertAssertionClassifier → HasPretrained

29.  def read: MLReader[BertForAssertionClassification]

    Definition Classes

    ParamsAndFeaturesReadable → DefaultParamsReadable → MLReadable

30.  def readModel(instance: BertForAssertionClassification, path: String, spark: SparkSession): Unit

    Definition Classes

    ReadBertAssertionClassifier

31.  def readOnnxModel(path: String, spark: SparkSession, suffix: String, zipped: Boolean, useBundle: Boolean, modelName: Option[String], tmpFolder: Option[String], dataFilePostfix: Option[String]): OnnxWrapper

    Definition Classes

    ReadOnnxModel

32.  def readOnnxModels(path: String, spark: SparkSession, modelNames: Seq[String], suffix: String, zipped: Boolean, useBundle: Boolean, dataFilePostfix: String): Map[String, OnnxWrapper]

    Definition Classes

    ReadOnnxModel

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

    Definition Classes

    ReadTensorflowModel

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

    Definition Classes

    ReadTensorflowModel

35.  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

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

    Definition Classes

    ReadTensorflowModel

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

    Attributes

    protected

    Definition Classes

    ParamsAndFeaturesReadable

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

    Definition Classes

    AnyRef

39.  val tfFile: String

    Definition Classes

    ReadBertAssertionClassifier → 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()