o
com.johnsnowlabs.finance.chunk_classification.resolution
ChunkMapperModel
Companion class ChunkMapperModel
object ChunkMapperModel extends ReadablePretrainedChunkMapperModel with Serializable
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- ChunkMapperModel
- Serializable
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- ReadablePretrainedChunkMapperModel
- HasPretrained
- ParamsAndFeaturesReadable
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- MLReadable
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def
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final
def
==(arg0: Any): Boolean
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def
addReader(reader: (nlp.annotators.chunker.ChunkMapperModel, String, SparkSession) ⇒ Unit): Unit
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val
defaultLang: String
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lazy val
defaultLoc: String
Java compliant-overrides
Java compliant-overrides
- Definition Classes
- ChunkMapperModel → ReadablePretrainedChunkMapperModel → HasPretrained
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val
defaultModelName: Some[String]
- Definition Classes
- ChunkMapperModel → ReadablePretrainedChunkMapperModel → HasPretrained
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final
def
isInstanceOf[T0]: Boolean
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def
load(path: String): nlp.annotators.chunker.ChunkMapperModel
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notify(): Unit
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final
def
notifyAll(): Unit
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def
pretrained(name: String, lang: String): nlp.annotators.chunker.ChunkMapperModel
- Definition Classes
- ReadablePretrainedChunkMapperModel → HasPretrained
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def
pretrained(name: String): nlp.annotators.chunker.ChunkMapperModel
- Definition Classes
- ReadablePretrainedChunkMapperModel → HasPretrained
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def
pretrained(): nlp.annotators.chunker.ChunkMapperModel
- Definition Classes
- ReadablePretrainedChunkMapperModel → HasPretrained
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def
pretrained(name: String, lang: String, remoteLoc: String): nlp.annotators.chunker.ChunkMapperModel
Java compliant-overrides
Java compliant-overrides
- Definition Classes
- ReadablePretrainedChunkMapperModel → HasPretrained
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def
read: MLReader[nlp.annotators.chunker.ChunkMapperModel]
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- ParamsAndFeaturesReadable → DefaultParamsReadable → MLReadable
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wait(arg0: Long): Unit
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