trait ReadablePretrainedClassifierDL extends ParamsAndFeaturesReadable[ClassifierDLModel] with HasPretrained[ClassifierDLModel]
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- HasPretrained
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!=(arg0: Any): Boolean
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def
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def
==(arg0: Any): Boolean
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def
addReader(reader: (ClassifierDLModel, String, SparkSession) ⇒ Unit): Unit
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final
def
asInstanceOf[T0]: T0
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val
defaultLang: String
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- HasPretrained
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lazy val
defaultLoc: String
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- HasPretrained
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val
defaultModelName: Some[String]
- Definition Classes
- ReadablePretrainedClassifierDL → HasPretrained
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final
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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): ClassifierDLModel
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ne(arg0: AnyRef): Boolean
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notify(): Unit
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def
notifyAll(): Unit
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def
onRead(instance: ClassifierDLModel, path: String, session: SparkSession): Unit
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def
pretrained(name: String, lang: String): ClassifierDLModel
- Definition Classes
- ReadablePretrainedClassifierDL → HasPretrained
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def
pretrained(name: String): ClassifierDLModel
- Definition Classes
- ReadablePretrainedClassifierDL → HasPretrained
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def
pretrained(): ClassifierDLModel
Java compliant-overrides
Java compliant-overrides
- Definition Classes
- ReadablePretrainedClassifierDL → HasPretrained
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def
pretrained(name: String, lang: String, remoteLoc: String): ClassifierDLModel
Java default argument interoperability
Java default argument interoperability
- Definition Classes
- ReadablePretrainedClassifierDL → HasPretrained
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def
read: MLReader[ClassifierDLModel]
- Definition Classes
- ParamsAndFeaturesReadable → DefaultParamsReadable → MLReadable
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val
readers: ArrayBuffer[(ClassifierDLModel, String, SparkSession) ⇒ Unit]
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synchronized[T0](arg0: ⇒ T0): T0
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toString(): String
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wait(): Unit
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wait(arg0: Long, arg1: Int): Unit
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wait(arg0: Long): Unit
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