Packages

object FinanceQuestionAnswering extends ReadablePretrainedMedicalQuestionAnsweringModel with ReadMedicalQuestionAnsweringModel with Serializable

Linear Supertypes
Serializable, Serializable, ReadMedicalQuestionAnsweringModel, InternalReadOnnxModel, ReadSentencePieceModel, ReadTensorflowModel, ReadablePretrainedMedicalQuestionAnsweringModel, HasPretrained[MedicalQuestionAnswering], ParamsAndFeaturesReadable[MedicalQuestionAnswering], DefaultParamsReadable[MedicalQuestionAnswering], MLReadable[MedicalQuestionAnswering], AnyRef, Any
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Inherited
  1. FinanceQuestionAnswering
  2. Serializable
  3. Serializable
  4. ReadMedicalQuestionAnsweringModel
  5. InternalReadOnnxModel
  6. ReadSentencePieceModel
  7. ReadTensorflowModel
  8. ReadablePretrainedMedicalQuestionAnsweringModel
  9. HasPretrained
  10. ParamsAndFeaturesReadable
  11. DefaultParamsReadable
  12. MLReadable
  13. AnyRef
  14. Any
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Visibility
  1. Public
  2. All

Value Members

  1. def addReader(reader: (MedicalQuestionAnswering, String, SparkSession) ⇒ Unit): Unit
    Definition Classes
    ParamsAndFeaturesReadable
  2. val defaultLang: String
    Definition Classes
    HasPretrained
  3. lazy val defaultLoc: String
    Definition Classes
    ReadablePretrainedMedicalQuestionAnsweringModel → HasPretrained
  4. val defaultModelName: Some[String]
    Definition Classes
    ReadablePretrainedMedicalQuestionAnsweringModel → HasPretrained
  5. def load(path: String): MedicalQuestionAnswering
    Definition Classes
    MLReadable
    Annotations
    @Since( "1.6.0" )
  6. def loadMedicalTextGenerator(medicalTextGeneratorPath: String, spark: SparkSession): MedicalQuestionAnswering
  7. def loadMedicalTextGenerator(medicalTextGenerator: MedicalTextGenerator, spark: SparkSession): MedicalQuestionAnswering
  8. def loadSavedModel(modelPath: String, spark: SparkSession, modelType: String): MedicalTextGenerator
  9. val onnxDecoderFile: String
  10. val onnxEncoderFile: String
  11. def pretrained(name: String, lang: String, remoteLoc: String): MedicalQuestionAnswering
    Definition Classes
    ReadablePretrainedMedicalQuestionAnsweringModel → HasPretrained
  12. def pretrained(name: String, lang: String): MedicalQuestionAnswering
    Definition Classes
    ReadablePretrainedMedicalQuestionAnsweringModel → HasPretrained
  13. def pretrained(name: String): MedicalQuestionAnswering
    Definition Classes
    ReadablePretrainedMedicalQuestionAnsweringModel → HasPretrained
  14. def pretrained(): MedicalQuestionAnswering

    Java compliant-overrides

    Java compliant-overrides

    Definition Classes
    ReadablePretrainedMedicalQuestionAnsweringModel → HasPretrained
  15. def read: MLReader[MedicalQuestionAnswering]
    Definition Classes
    ParamsAndFeaturesReadable → DefaultParamsReadable → MLReadable
  16. def readModel(instance: MedicalQuestionAnswering, path: String, spark: SparkSession): Unit
  17. def readOnnxModel(path: String, onnxFile: String, spark: SparkSession, suffix: String, zipped: Boolean = true, useBundle: Boolean = false, sessionOptions: Option[SessionOptions] = None, supressWarnings: Boolean = false): OnnxWrapper
    Definition Classes
    InternalReadOnnxModel
  18. def readSentencePieceModel(path: String, spark: SparkSession, suffix: String, filename: String): SentencePieceWrapper
    Definition Classes
    ReadSentencePieceModel
  19. def readTensorflowChkPoints(path: String, spark: SparkSession, suffix: String, zipped: Boolean, tags: Array[String], initAllTables: Boolean): TensorflowWrapper
    Definition Classes
    ReadTensorflowModel
  20. def readTensorflowHub(path: String, spark: SparkSession, suffix: String, zipped: Boolean, useBundle: Boolean, tags: Array[String]): TensorflowWrapper
    Definition Classes
    ReadTensorflowModel
  21. 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
  22. def readTensorflowWithSPModel(path: String, spark: SparkSession, suffix: String, zipped: Boolean, useBundle: Boolean, tags: Array[String], initAllTables: Boolean, loadSP: Boolean): TensorflowWrapper
    Definition Classes
    ReadTensorflowModel
  23. val sppFile: String
    Definition Classes
    ReadMedicalQuestionAnsweringModel → ReadSentencePieceModel
  24. val tfFile: String
    Definition Classes
    ReadMedicalQuestionAnsweringModel → ReadTensorflowModel