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: (SentenceDetectorSaTModel, 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

   ReadablePretrainedSaTModel → HasPretrained

8.  lazy val defaultLoc: String

   Definition Classes

   HasPretrained

9.  val defaultModelName: Some[String]

   Definition Classes

   ReadablePretrainedSaTModel → 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.  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 hashCode(): Int

    Definition Classes

    AnyRef → Any

    Annotations

    @native()

16.  final def isInstanceOf[T0]: Boolean

    Definition Classes

    Any

17.  def load(path: String): SentenceDetectorSaTModel

    Definition Classes

    MLReadable

    Annotations

    @Since( "1.6.0" )

18.  def loadSavedModel(modelPath: String, spark: SparkSession): SentenceDetectorSaTModel

    Load a SaT model from a local folder exported by the Hugging Face / ONNX export script.

    Load a SaT model from a local folder exported by the Hugging Face / ONNX export script.

    modelPath

    Local or remote (HDFS / S3 / GCS) path to the model folder.

    spark

    Active SparkSession.

    returns

    A ready-to-use SentenceDetectorSaTModel.

    Definition Classes

    ReadSaTDLModel

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: SentenceDetectorSaTModel, path: String, session: SparkSession): Unit

    Attributes

    protected

    Definition Classes

    ParamsAndFeaturesReadable

23.  val onnxFile: String

    Definition Classes

    ReadSaTDLModel → ReadOnnxModel

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

    Definition Classes

    ReadablePretrainedSaTModel → HasPretrained

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

    Definition Classes

    ReadablePretrainedSaTModel → HasPretrained

26.  def pretrained(name: String): SentenceDetectorSaTModel

    Definition Classes

    ReadablePretrainedSaTModel → HasPretrained

27.  def pretrained(): SentenceDetectorSaTModel

    Definition Classes

    ReadablePretrainedSaTModel → HasPretrained

28.  def pretrained(name: String, lang: String, remoteLoc: String, preferredEngine: String = "onnx"): SentenceDetectorSaTModel

    Java default argument interoperability

    Java default argument interoperability

    Definition Classes

    HasPretrained

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

    Definition Classes

    HasPretrained

30.  def pretrainedEngine(name: String, preferredEngine: String): SentenceDetectorSaTModel

    Definition Classes

    HasPretrained

31.  def read: MLReader[SentenceDetectorSaTModel]

    Definition Classes

    ParamsAndFeaturesReadable → DefaultParamsReadable → MLReadable

32.  def readModel(instance: SentenceDetectorSaTModel, path: String, spark: SparkSession): Unit

    Definition Classes

    ReadSaTDLModel

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

    Definition Classes

    ReadOnnxModel

34.  def readOnnxModels(path: String, spark: SparkSession, modelNames: Seq[String], suffix: String, zipped: Boolean = true, useBundle: Boolean = false, dataFilePostfix: String = "_data"): Map[String, OnnxWrapper]

    Definition Classes

    ReadOnnxModel

35.  def readSentencePieceModel(path: String, spark: SparkSession, suffix: String, filename: String): SentencePieceWrapper

    Definition Classes

    ReadSentencePieceModel

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

    Attributes

    protected

    Definition Classes

    ParamsAndFeaturesReadable

37.  val skipPreferredEngine: Boolean

    Definition Classes

    HasPretrained

38.  val sppFile: String

    Definition Classes

    ReadSaTDLModel → ReadSentencePieceModel

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()