o
com.johnsnowlabs.finance.sequence_generation
FinanceEncoderDecoder
Companion class FinanceEncoderDecoder
object FinanceEncoderDecoder extends ReadMedicalEncoderDecoderModel[FinanceEncoderDecoder] with Serializable
This is the companion object of FinanceEncoderDecoder. Please refer to that class for the documentation.
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- FinanceEncoderDecoder
- Serializable
- Serializable
- ReadMedicalEncoderDecoderModel
- ParamsAndFeaturesReadable
- DefaultParamsReadable
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- InternalReadOnnxModel
- ReadSentencePieceModel
- ReadTensorflowModel
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def
addReader(reader: (FinanceEncoderDecoder, String, SparkSession) ⇒ Unit): Unit
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asInstanceOf[T0]: T0
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isInstanceOf[T0]: Boolean
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def
load(path: String): FinanceEncoderDecoder
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- @Since( "1.6.0" )
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def
onRead(instance: FinanceEncoderDecoder, path: String, session: SparkSession): 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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val
onnxFile: String
- Definition Classes
- ReadMedicalEncoderDecoderModel → InternalReadOnnxModel
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def
read: MLReader[FinanceEncoderDecoder]
- Definition Classes
- ParamsAndFeaturesReadable → DefaultParamsReadable → MLReadable
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def
readModel(instance: FinanceEncoderDecoder, path: String, spark: SparkSession): Unit
- Definition Classes
- ReadMedicalEncoderDecoderModel
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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
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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
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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
readers: ArrayBuffer[(FinanceEncoderDecoder, String, SparkSession) ⇒ Unit]
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- ParamsAndFeaturesReadable
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val
sppFile: String
- Definition Classes
- ReadMedicalEncoderDecoderModel → ReadSentencePieceModel
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final
def
synchronized[T0](arg0: ⇒ T0): T0
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val
tfFile: String
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def
toString(): String
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