Trait

com.johnsnowlabs.nlp.embeddings

ReadBertTensorflowModel

Related Doc: package embeddings

Permalink

trait ReadBertTensorflowModel extends ReadTensorflowModel

Self Type
ReadBertTensorflowModel with ParamsAndFeaturesReadable[BertEmbeddings]
Linear Supertypes
ReadTensorflowModel, AnyRef, Any
Known Subclasses
BertEmbeddings, BertEmbeddings
Ordering
  1. Alphabetic
  2. By Inheritance
Inherited
  1. ReadBertTensorflowModel
  2. ReadTensorflowModel
  3. AnyRef
  4. Any
  1. Hide All
  2. Show All
Visibility
  1. Public
  2. All

Value Members

  1. final def !=(arg0: Any): Boolean

    Permalink
    Definition Classes
    AnyRef → Any

  2. final def ##(): Int

    Permalink
    Definition Classes
    AnyRef → Any

  3. final def ==(arg0: Any): Boolean

    Permalink
    Definition Classes
    AnyRef → Any

  4. final def asInstanceOf[T0]: T0

    Permalink
    Definition Classes
    Any

  5. def clone(): AnyRef

    Permalink
    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

  6. final def eq(arg0: AnyRef): Boolean

    Permalink
    Definition Classes
    AnyRef

  7. def equals(arg0: Any): Boolean

    Permalink
    Definition Classes
    AnyRef → Any

  8. def finalize(): Unit

    Permalink
    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( classOf[java.lang.Throwable] )

  9. final def getClass(): Class[_]

    Permalink
    Definition Classes
    AnyRef → Any

  10. def hashCode(): Int

    Permalink
    Definition Classes
    AnyRef → Any

  11. final def isInstanceOf[T0]: Boolean

    Permalink
    Definition Classes
    Any

  12. def loadSavedModel(folder: String, spark: SparkSession): BertEmbeddings

    Permalink

  13. final def ne(arg0: AnyRef): Boolean

    Permalink
    Definition Classes
    AnyRef

  14. final def notify(): Unit

    Permalink
    Definition Classes
    AnyRef

  15. final def notifyAll(): Unit

    Permalink
    Definition Classes
    AnyRef

  16. def readTensorflow(instance: BertEmbeddings, path: String, spark: SparkSession): Unit

    Permalink

  17. def readTensorflowChkPoints(path: String, spark: SparkSession, suffix: String, zipped: Boolean = true, tags: Array[String] = Array.empty, initAllTables: Boolean = false): TensorflowWrapper

    Permalink
    Definition Classes
    ReadTensorflowModel

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

    Permalink
    Definition Classes
    ReadTensorflowModel

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

    Permalink
    Definition Classes
    ReadTensorflowModel

  20. 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

    Permalink
    Definition Classes
    ReadTensorflowModel

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

    Permalink
    Definition Classes
    AnyRef

  22. val tfFile: String

    Permalink
    Definition Classes
    ReadBertTensorflowModel → ReadTensorflowModel

  23. def toString(): String

    Permalink
    Definition Classes
    AnyRef → Any

  24. final def wait(): Unit

    Permalink
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

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

    Permalink
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

  26. final def wait(arg0: Long): Unit

    Permalink
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

Inherited from ReadTensorflowModel

Inherited from AnyRef

Inherited from Any

Ungrouped