trait ReadablePretrainedLargeFewShotClassifierModel extends ParamsAndFeaturesReadable[LargeFewShotClassifierModel] with HasPretrained[LargeFewShotClassifierModel]
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- HasPretrained
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def
addReader(reader: (LargeFewShotClassifierModel, String, SparkSession) ⇒ Unit): Unit
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asInstanceOf[T0]: T0
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val
defaultLang: String
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lazy val
defaultLoc: String
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- ReadablePretrainedLargeFewShotClassifierModel → HasPretrained
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val
defaultModelName: Some[String]
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- ReadablePretrainedLargeFewShotClassifierModel → HasPretrained
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final
def
isInstanceOf[T0]: Boolean
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def
load(path: String): LargeFewShotClassifierModel
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notify(): Unit
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def
notifyAll(): Unit
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def
pretrained(name: String, lang: String, remoteLoc: String): LargeFewShotClassifierModel
- Definition Classes
- ReadablePretrainedLargeFewShotClassifierModel → HasPretrained
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def
pretrained(name: String, lang: String): LargeFewShotClassifierModel
- Definition Classes
- ReadablePretrainedLargeFewShotClassifierModel → HasPretrained
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def
pretrained(name: String): LargeFewShotClassifierModel
- Definition Classes
- ReadablePretrainedLargeFewShotClassifierModel → HasPretrained
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def
pretrained(): LargeFewShotClassifierModel
Java compliant-overrides
Java compliant-overrides
- Definition Classes
- ReadablePretrainedLargeFewShotClassifierModel → HasPretrained
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def
read: MLReader[LargeFewShotClassifierModel]
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- ParamsAndFeaturesReadable → DefaultParamsReadable → MLReadable
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wait(arg0: Long): Unit
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