o
com.johnsnowlabs.nlp.annotators.embeddings
BertSentenceChunkEmbeddings
Companion class BertSentenceChunkEmbeddings
object BertSentenceChunkEmbeddings extends ReadablePretrainedBertSentenceChunksModel with ReadBertSentenceChunksTensorflowModel with Serializable
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- BertSentenceChunkEmbeddings
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- Serializable
- ReadBertSentenceChunksTensorflowModel
- ReadTensorflowModel
- ReadablePretrainedBertSentenceChunksModel
- HasPretrained
- ParamsAndFeaturesReadable
- DefaultParamsReadable
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def
==(arg0: Any): Boolean
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def
addReader(reader: (BertSentenceChunkEmbeddings, String, SparkSession) ⇒ Unit): Unit
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- def apply(model: PipelineStage): PipelineStage
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def
asInstanceOf[T0]: T0
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val
defaultLang: String
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- HasPretrained
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lazy val
defaultLoc: String
- Definition Classes
- ReadablePretrainedBertSentenceChunksModel → HasPretrained
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val
defaultModelName: Some[String]
- Definition Classes
- ReadablePretrainedBertSentenceChunksModel → HasPretrained
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final
def
eq(arg0: AnyRef): Boolean
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final
def
getClass(): Class[_]
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- def getFromBertSentenceEmbeddings(model: BertSentenceEmbeddings): BertSentenceChunkEmbeddings
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def
hashCode(): Int
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final
def
isInstanceOf[T0]: Boolean
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def
load(path: String): BertSentenceChunkEmbeddings
- Definition Classes
- ReadablePretrainedBertSentenceChunksModel → MLReadable
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final
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notify(): Unit
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final
def
notifyAll(): Unit
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def
pretrained(name: String, lang: String, remoteLoc: String): BertSentenceChunkEmbeddings
- Definition Classes
- ReadablePretrainedBertSentenceChunksModel → HasPretrained
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def
pretrained(name: String, lang: String): BertSentenceChunkEmbeddings
- Definition Classes
- ReadablePretrainedBertSentenceChunksModel → HasPretrained
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def
pretrained(name: String): BertSentenceChunkEmbeddings
- Definition Classes
- ReadablePretrainedBertSentenceChunksModel → HasPretrained
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def
pretrained(): BertSentenceChunkEmbeddings
Java compliant-overrides
Java compliant-overrides
- Definition Classes
- ReadablePretrainedBertSentenceChunksModel → HasPretrained
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def
read: MLReader[BertSentenceChunkEmbeddings]
- Definition Classes
- ParamsAndFeaturesReadable → DefaultParamsReadable → MLReadable
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def
readTensorflow(instance: BertSentenceChunkEmbeddings, path: String, spark: SparkSession): Unit
- Definition Classes
- ReadBertSentenceChunksTensorflowModel
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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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final
def
synchronized[T0](arg0: ⇒ T0): T0
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val
tfFile: String
- Definition Classes
- ReadBertSentenceChunksTensorflowModel → ReadTensorflowModel
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def
toString(): String
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def
wait(arg0: Long): Unit
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