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: (NerDLModel, 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.  final def eq(arg0: AnyRef): Boolean

   Definition Classes

   AnyRef

8.  def equals(arg0: Any): Boolean

   Definition Classes

   AnyRef → Any

9.  def finalize(): Unit

   Attributes

   protected[lang]

   Definition Classes

   AnyRef

   Annotations

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

10.  final def getClass(): Class[_]

    Definition Classes

    AnyRef → Any

    Annotations

    @native()

11.  def hashCode(): Int

    Definition Classes

    AnyRef → Any

    Annotations

    @native()

12.  final def isInstanceOf[T0]: Boolean

    Definition Classes

    Any

13.  def load(path: String): NerDLModel

    Definition Classes

    MLReadable

    Annotations

    @Since( "1.6.0" )

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

    Definition Classes

    AnyRef

15.  final def notify(): Unit

    Definition Classes

    AnyRef

    Annotations

    @native()

16.  final def notifyAll(): Unit

    Definition Classes

    AnyRef

    Annotations

    @native()

17.  def read: MLReader[NerDLModel]

    Definition Classes

    ParamsAndFeaturesReadable → DefaultParamsReadable → MLReadable

18.  def readNerGraph(instance: NerDLModel, path: String, spark: SparkSession): Unit
19.  def readTensorflowChkPoints(path: String, spark: SparkSession, suffix: String, zipped: Boolean = true, tags: Array[String] = Array.empty, initAllTables: Boolean = false): TensorflowWrapper

    Definition Classes

    ReadTensorflowModel

20.  def readTensorflowHub(path: String, spark: SparkSession, suffix: String, zipped: Boolean = true, useBundle: Boolean = false, tags: Array[String] = Array.empty): TensorflowWrapper

    Definition Classes

    ReadTensorflowModel

21.  def readTensorflowModel(path: String, spark: SparkSession, suffix: String, zipped: Boolean = true, useBundle: Boolean = false, tags: Array[String] = Array.empty, initAllTables: Boolean = false, savedSignatures: Option[Map[String, String]] = None): TensorflowWrapper

    Definition Classes

    ReadTensorflowModel

22.  def readTensorflowWithSPModel(path: String, spark: SparkSession, suffix: String, zipped: Boolean = true, useBundle: Boolean = false, tags: Array[String] = Array.empty, initAllTables: Boolean = false, loadSP: Boolean = false): TensorflowWrapper

    Definition Classes

    ReadTensorflowModel

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

    Definition Classes

    AnyRef

24.  val tfFile: String

    Definition Classes

    ReadsNERGraph → ReadTensorflowModel

25.  def toString(): String

    Definition Classes

    AnyRef → Any

26.  final def wait(): Unit

    Definition Classes

    AnyRef

    Annotations

    @throws( ... )

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

    Definition Classes

    AnyRef

    Annotations

    @throws( ... )

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

    Definition Classes

    AnyRef

    Annotations

    @throws( ... ) @native()