o
com.johnsnowlabs.finance.sequence_generation
FinanceSummarizer
Companion class FinanceSummarizer
object FinanceSummarizer extends ReadablePretrainedMedicalSummarizerModel with ReadMedicalEncoderDecoderModel[MedicalSummarizer] with ReadSentencePieceModel with Serializable
This is the companion object of FinanceSummarizer. Please refer to that class for the documentation.
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- FinanceSummarizer
- Serializable
- Serializable
- ReadMedicalEncoderDecoderModel
- InternalReadOnnxModel
- ReadSentencePieceModel
- ReadTensorflowModel
- ReadablePretrainedMedicalSummarizerModel
- HasPretrained
- ParamsAndFeaturesReadable
- DefaultParamsReadable
- MLReadable
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def
##(): Int
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final
def
==(arg0: Any): Boolean
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def
addReader(reader: (MedicalSummarizer, String, SparkSession) ⇒ Unit): Unit
- Definition Classes
- ParamsAndFeaturesReadable
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final
def
asInstanceOf[T0]: T0
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def
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val
defaultLang: String
- Definition Classes
- HasPretrained
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lazy val
defaultLoc: String
- Definition Classes
- FinanceSummarizer → ReadablePretrainedMedicalSummarizerModel → HasPretrained
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val
defaultModelName: Some[String]
- Definition Classes
- FinanceSummarizer → ReadablePretrainedMedicalSummarizerModel → HasPretrained
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final
def
eq(arg0: AnyRef): Boolean
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hashCode(): Int
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final
def
isInstanceOf[T0]: Boolean
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def
load(path: String): MedicalSummarizer
- Definition Classes
- MLReadable
- Annotations
- @Since( "1.6.0" )
- def loadSavedModel(modelPath: String, spark: SparkSession, useCache: Boolean): FinanceSummarizer
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final
def
ne(arg0: AnyRef): Boolean
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final
def
notify(): Unit
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final
def
notifyAll(): Unit
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val
onnxDecoderFile: String
- Definition Classes
- ReadMedicalEncoderDecoderModel
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val
onnxEncoderFile: String
- Definition Classes
- ReadMedicalEncoderDecoderModel
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def
pretrained(name: String, lang: String, remoteLoc: String): MedicalSummarizer
- Definition Classes
- ReadablePretrainedMedicalSummarizerModel → HasPretrained
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def
pretrained(name: String, lang: String): MedicalSummarizer
- Definition Classes
- ReadablePretrainedMedicalSummarizerModel → HasPretrained
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def
pretrained(name: String): MedicalSummarizer
- Definition Classes
- ReadablePretrainedMedicalSummarizerModel → HasPretrained
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def
pretrained(): MedicalSummarizer
Java compliant-overrides
Java compliant-overrides
- Definition Classes
- ReadablePretrainedMedicalSummarizerModel → HasPretrained
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def
read: MLReader[MedicalSummarizer]
- Definition Classes
- ParamsAndFeaturesReadable → DefaultParamsReadable → MLReadable
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def
readModel(instance: MedicalSummarizer, path: String, spark: SparkSession): Unit
- Definition Classes
- ReadMedicalEncoderDecoderModel
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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
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def
readSentencePieceModel(path: String, spark: SparkSession, suffix: String, filename: String): SentencePieceWrapper
- Definition Classes
- ReadSentencePieceModel
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def
readTensorflowChkPoints(path: String, spark: SparkSession, suffix: String, zipped: Boolean, tags: Array[String], initAllTables: Boolean): TensorflowWrapper
- Definition Classes
- ReadTensorflowModel
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def
readTensorflowHub(path: String, spark: SparkSession, suffix: String, zipped: Boolean, useBundle: Boolean, tags: Array[String]): TensorflowWrapper
- Definition Classes
- ReadTensorflowModel
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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
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def
readTensorflowWithSPModel(path: String, spark: SparkSession, suffix: String, zipped: Boolean, useBundle: Boolean, tags: Array[String], initAllTables: Boolean, loadSP: Boolean): TensorflowWrapper
- Definition Classes
- ReadTensorflowModel
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val
sppFile: String
- Definition Classes
- FinanceSummarizer → ReadMedicalEncoderDecoderModel → ReadSentencePieceModel
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final
def
synchronized[T0](arg0: ⇒ T0): T0
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val
tfFile: String
- Definition Classes
- FinanceSummarizer → ReadMedicalEncoderDecoderModel → ReadTensorflowModel
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def
toString(): String
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final
def
wait(): Unit
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def
wait(arg0: Long, arg1: Int): Unit
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wait(arg0: Long): Unit
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