object MedicalDistilBertForSequenceClassification extends ReadablePretrainedDistilBertForSequenceModel with InternalReadDistilBertForSequenceTensorflowModel with Serializable

This is the companion object of MedicalDistilBertForSequenceClassification. Please refer to that class for the documentation.

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  1. MedicalDistilBertForSequenceClassification
  2. Serializable
  3. Serializable
  4. InternalReadDistilBertForSequenceTensorflowModel
  5. InternalReadOnnxModel
  6. ReadTensorflowModel
  7. ReadablePretrainedDistilBertForSequenceModel
  8. HasPretrained
  9. ParamsAndFeaturesReadable
  10. DefaultParamsReadable
  11. MLReadable
  12. AnyRef
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  1. final def !=(arg0: Any): Boolean
    Definition Classes
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  2. final def ##(): Int
    Definition Classes
    AnyRef → Any
  3. final def ==(arg0: Any): Boolean
    Definition Classes
    AnyRef → Any
  4. def addReader(reader: (MedicalDistilBertForSequenceClassification, 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
    HasPretrained
  8. lazy val defaultLoc: String
    Definition Classes
    ReadablePretrainedDistilBertForSequenceModel → HasPretrained
  9. val defaultModelName: Some[String]
    Definition Classes
    ReadablePretrainedDistilBertForSequenceModel → 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
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    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): MedicalDistilBertForSequenceClassification
    Definition Classes
    MLReadable
    Annotations
    @Since( "1.6.0" )
  18. def loadSavedModel(modelPath: String, spark: SparkSession): MedicalDistilBertForSequenceClassification
  19. def loadSavedModelOpenSource(destilBertForTokenClassifierPath: String, tfModelPath: String, spark: SparkSession): MedicalDistilBertForSequenceClassification
  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: MedicalDistilBertForSequenceClassification, path: String, session: SparkSession): Unit
    Attributes
    protected
    Definition Classes
    ParamsAndFeaturesReadable
  24. val onnxFile: String
    Definition Classes
    InternalReadDistilBertForSequenceTensorflowModel → InternalReadOnnxModel
  25. def pretrained(name: String, lang: String): MedicalDistilBertForSequenceClassification
    Definition Classes
    ReadablePretrainedDistilBertForSequenceModel → HasPretrained
  26. def pretrained(name: String, lang: String, remoteLoc: String): MedicalDistilBertForSequenceClassification

    Java compliant-overrides

    Java compliant-overrides

    Definition Classes
    ReadablePretrainedDistilBertForSequenceModel → HasPretrained
  27. def pretrained(name: String): MedicalDistilBertForSequenceClassification
    Definition Classes
    ReadablePretrainedDistilBertForSequenceModel → HasPretrained
  28. def pretrained(): MedicalDistilBertForSequenceClassification
    Definition Classes
    ReadablePretrainedDistilBertForSequenceModel → HasPretrained
  29. def pretrained(name: String, lang: String, remoteLoc: String, preferredEngine: String): MedicalDistilBertForSequenceClassification
    Definition Classes
    HasPretrained
  30. def pretrainedEngine(name: String, lang: String, preferredEngine: String): MedicalDistilBertForSequenceClassification
    Definition Classes
    HasPretrained
  31. def pretrainedEngine(name: String, preferredEngine: String): MedicalDistilBertForSequenceClassification
    Definition Classes
    HasPretrained
  32. def read: MLReader[MedicalDistilBertForSequenceClassification]
    Definition Classes
    ParamsAndFeaturesReadable → DefaultParamsReadable → MLReadable
  33. def readModel(instance: MedicalDistilBertForSequenceClassification, path: String, spark: SparkSession): Unit
  34. def readOnnxModel(path: String, spark: SparkSession, suffix: String, zipped: Boolean = true, useBundle: Boolean = false, modelName: Option[String] = None, tmpFolder: Option[String] = None): InternalOnnxWrapper
    Definition Classes
    InternalReadOnnxModel
  35. def readOnnxModels(path: String, spark: SparkSession, modelNames: Seq[String], suffix: String, zipped: Boolean = true, useBundle: Boolean = false): Map[String, InternalOnnxWrapper]
    Definition Classes
    InternalReadOnnxModel
  36. def readTensorflowChkPoints(path: String, spark: SparkSession, suffix: String, zipped: Boolean, tags: Array[String], initAllTables: Boolean): TensorflowWrapper
    Definition Classes
    ReadTensorflowModel
  37. def readTensorflowHub(path: String, spark: SparkSession, suffix: String, zipped: Boolean, useBundle: Boolean, tags: Array[String]): TensorflowWrapper
    Definition Classes
    ReadTensorflowModel
  38. 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
  39. def readTensorflowWithSPModel(path: String, spark: SparkSession, suffix: String, zipped: Boolean, useBundle: Boolean, tags: Array[String], initAllTables: Boolean, loadSP: Boolean): TensorflowWrapper
    Definition Classes
    ReadTensorflowModel
  40. val readers: ArrayBuffer[(MedicalDistilBertForSequenceClassification, String, SparkSession) ⇒ Unit]
    Attributes
    protected
    Definition Classes
    ParamsAndFeaturesReadable
  41. val skipPreferredEngine: Boolean
    Definition Classes
    HasPretrained
  42. final def synchronized[T0](arg0: ⇒ T0): T0
    Definition Classes
    AnyRef
  43. val tfFile: String
    Definition Classes
    InternalReadDistilBertForSequenceTensorflowModel → ReadTensorflowModel
  44. def toString(): String
    Definition Classes
    AnyRef → Any
  45. final def wait(): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  46. final def wait(arg0: Long, arg1: Int): Unit
    Definition Classes
    AnyRef
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    @throws( ... )
  47. final def wait(arg0: Long): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... ) @native()

Inherited from Serializable

Inherited from Serializable

Inherited from InternalReadOnnxModel

Inherited from ReadTensorflowModel

Inherited from HasPretrained[MedicalDistilBertForSequenceClassification]

Inherited from ParamsAndFeaturesReadable[MedicalDistilBertForSequenceClassification]

Inherited from DefaultParamsReadable[MedicalDistilBertForSequenceClassification]

Inherited from MLReadable[MedicalDistilBertForSequenceClassification]

Inherited from AnyRef

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