object FewShotAssertionClassifierModel extends ReadablePretrainedFewShotAssertionClassifierModel with ReadFewShotAssertionClassifierModel with Serializable

Linear Supertypes
Serializable, Serializable, ReadFewShotAssertionClassifierModel, ReadsGenericClassifierGraph[FewShotAssertionClassifierModel], ReadTensorflowModel, InternalReadOnnxModel, ReadablePretrainedFewShotAssertionClassifierModel, HasPretrained[FewShotAssertionClassifierModel], ParamsAndFeaturesReadable[FewShotAssertionClassifierModel], DefaultParamsReadable[FewShotAssertionClassifierModel], MLReadable[FewShotAssertionClassifierModel], AnyRef, Any
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Inherited
  1. FewShotAssertionClassifierModel
  2. Serializable
  3. Serializable
  4. ReadFewShotAssertionClassifierModel
  5. ReadsGenericClassifierGraph
  6. ReadTensorflowModel
  7. InternalReadOnnxModel
  8. ReadablePretrainedFewShotAssertionClassifierModel
  9. HasPretrained
  10. ParamsAndFeaturesReadable
  11. DefaultParamsReadable
  12. MLReadable
  13. AnyRef
  14. Any
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  1. Public
  2. All

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: (FewShotAssertionClassifierModel, String, SparkSession) ⇒ Unit): Unit
    Definition Classes
    ParamsAndFeaturesReadable
  5. final def asInstanceOf[T0]: T0
    Definition Classes
    Any
  6. val classifierOnnxFile: String
    Definition Classes
    ReadFewShotAssertionClassifierModel
  7. def clone(): AnyRef
    Attributes
    protected[lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( ... ) @native()
  8. def createTensorflowWrapperPlaceholder(): TensorflowWrapper
    Definition Classes
    ReadFewShotAssertionClassifierModel
  9. val defaultLang: String
    Definition Classes
    HasPretrained
  10. lazy val defaultLoc: String
    Definition Classes
    HasPretrained
  11. val defaultModelName: Some[String]
    Definition Classes
    ReadablePretrainedFewShotAssertionClassifierModel → HasPretrained
  12. final def eq(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  13. def equals(arg0: Any): Boolean
    Definition Classes
    AnyRef → Any
  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): FewShotAssertionClassifierModel
    Definition Classes
    MLReadable
    Annotations
    @Since( "1.6.0" )
  19. def loadSavedModel(modelPath: String, spark: SparkSession, hasDifferentiableHead: Boolean = false): FewShotAssertionClassifierModel
    Definition Classes
    ReadFewShotAssertionClassifierModel
  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: FewShotAssertionClassifierModel, path: String, session: SparkSession): Unit
    Attributes
    protected
    Definition Classes
    ParamsAndFeaturesReadable
  24. val onnxFile: String
    Definition Classes
    ReadFewShotAssertionClassifierModel → InternalReadOnnxModel
  25. def pretrained(name: String, lang: String, remoteLoc: String): FewShotAssertionClassifierModel
    Definition Classes
    ReadablePretrainedFewShotAssertionClassifierModel → HasPretrained
  26. def pretrained(name: String, lang: String): FewShotAssertionClassifierModel
    Definition Classes
    ReadablePretrainedFewShotAssertionClassifierModel → HasPretrained
  27. def pretrained(name: String): FewShotAssertionClassifierModel
    Definition Classes
    ReadablePretrainedFewShotAssertionClassifierModel → HasPretrained
  28. def pretrained(): FewShotAssertionClassifierModel

    Java compliant-overrides

    Java compliant-overrides

    Definition Classes
    ReadablePretrainedFewShotAssertionClassifierModel → HasPretrained
  29. def read: MLReader[FewShotAssertionClassifierModel]
    Definition Classes
    ParamsAndFeaturesReadable → DefaultParamsReadable → MLReadable
  30. def readGenericClassifierGraph(instance: FewShotAssertionClassifierModel, path: String, spark: SparkSession): Unit
    Definition Classes
    ReadFewShotAssertionClassifierModel → ReadsGenericClassifierGraph
  31. def readModel(instance: FewShotAssertionClassifierModel, path: String, spark: SparkSession): Unit
    Definition Classes
    ReadFewShotAssertionClassifierModel
  32. 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): InternalOnnxWrapper
    Definition Classes
    InternalReadOnnxModel
  33. def readOnnxModels(path: String, spark: SparkSession, modelNames: Seq[String], suffix: String, zipped: Boolean = true, useBundle: Boolean = false, dataFilePostfix: String = "_data"): Map[String, InternalOnnxWrapper]
    Definition Classes
    InternalReadOnnxModel
  34. def readTensorflowChkPoints(path: String, spark: SparkSession, suffix: String, zipped: Boolean, tags: Array[String], initAllTables: Boolean): TensorflowWrapper
    Definition Classes
    ReadTensorflowModel
  35. def readTensorflowHub(path: String, spark: SparkSession, suffix: String, zipped: Boolean, useBundle: Boolean, tags: Array[String]): TensorflowWrapper
    Definition Classes
    ReadTensorflowModel
  36. 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
  37. def readTensorflowWithSPModel(path: String, spark: SparkSession, suffix: String, zipped: Boolean, useBundle: Boolean, tags: Array[String], initAllTables: Boolean, loadSP: Boolean): TensorflowWrapper
    Definition Classes
    ReadTensorflowModel
  38. val readers: ArrayBuffer[(FewShotAssertionClassifierModel, String, SparkSession) ⇒ Unit]
    Attributes
    protected
    Definition Classes
    ParamsAndFeaturesReadable
  39. final def synchronized[T0](arg0: ⇒ T0): T0
    Definition Classes
    AnyRef
  40. val tfFile: String
    Definition Classes
    ReadsGenericClassifierGraph → ReadTensorflowModel
  41. def toString(): String
    Definition Classes
    AnyRef → Any
  42. final def wait(): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  43. final def wait(arg0: Long, arg1: Int): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  44. final def wait(arg0: Long): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... ) @native()

Inherited from Serializable

Inherited from Serializable

Inherited from ReadFewShotAssertionClassifierModel

Inherited from ReadsGenericClassifierGraph[FewShotAssertionClassifierModel]

Inherited from ReadTensorflowModel

Inherited from InternalReadOnnxModel

Inherited from ReadablePretrainedFewShotAssertionClassifierModel

Inherited from HasPretrained[FewShotAssertionClassifierModel]

Inherited from ParamsAndFeaturesReadable[FewShotAssertionClassifierModel]

Inherited from DefaultParamsReadable[FewShotAssertionClassifierModel]

Inherited from MLReadable[FewShotAssertionClassifierModel]

Inherited from AnyRef

Inherited from Any

Ungrouped