o
com.johnsnowlabs.finance.sequence_classification
FinanceFewShotClassifierModel
Companion class FinanceFewShotClassifierModel
object FinanceFewShotClassifierModel extends ReadsGenericClassifierGraph[FinanceFewShotClassifierModel] with ReadablePretrainedGenericClassifier[FinanceFewShotClassifierModel] with Serializable
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- FinanceFewShotClassifierModel
- Serializable
- Serializable
- ReadablePretrainedGenericClassifier
- HasPretrained
- ReadsGenericClassifierGraph
- ReadTensorflowModel
- ParamsAndFeaturesReadable
- DefaultParamsReadable
- MLReadable
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def
==(arg0: Any): Boolean
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def
addReader(reader: (FinanceFewShotClassifierModel, String, SparkSession) ⇒ Unit): Unit
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val
defaultLang: String
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- HasPretrained
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lazy val
defaultLoc: String
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- FinanceFewShotClassifierModel → ReadablePretrainedGenericClassifier → HasPretrained
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val
defaultModelName: Some[String]
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- FinanceFewShotClassifierModel → ReadablePretrainedGenericClassifier → HasPretrained
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isInstanceOf[T0]: Boolean
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def
load(path: String): FinanceFewShotClassifierModel
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notifyAll(): Unit
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def
pretrained(name: String, lang: String, remoteLoc: String): FinanceFewShotClassifierModel
- Definition Classes
- ReadablePretrainedGenericClassifier → HasPretrained
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def
pretrained(name: String, lang: String): FinanceFewShotClassifierModel
- Definition Classes
- ReadablePretrainedGenericClassifier → HasPretrained
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def
pretrained(name: String): FinanceFewShotClassifierModel
- Definition Classes
- ReadablePretrainedGenericClassifier → HasPretrained
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def
pretrained(): FinanceFewShotClassifierModel
Java compliant-overrides
Java compliant-overrides
- Definition Classes
- ReadablePretrainedGenericClassifier → HasPretrained
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def
read: MLReader[FinanceFewShotClassifierModel]
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- ParamsAndFeaturesReadable → DefaultParamsReadable → MLReadable
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def
readGenericClassifierGraph(instance: FinanceFewShotClassifierModel, path: String, spark: SparkSession): Unit
- Definition Classes
- ReadsGenericClassifierGraph
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def
readTensorflowChkPoints(path: String, spark: SparkSession, suffix: String, zipped: Boolean, tags: Array[String], initAllTables: Boolean): TensorflowWrapper
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- 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
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- ReadTensorflowModel
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final
def
synchronized[T0](arg0: ⇒ T0): T0
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val
tfFile: String
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toString(): String
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