Value Members
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final
def
!=(arg0: Any): Boolean
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final
def
##(): Int
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final
def
==(arg0: Any): Boolean
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def
addReader(reader: (BertEmbeddings, String, SparkSession) ⇒ Unit): Unit
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final
def
asInstanceOf[T0]: T0
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def
clone(): AnyRef
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val
defaultLang: String
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lazy val
defaultLoc: String
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val
defaultModelName: Some[String]
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final
def
eq(arg0: AnyRef): Boolean
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def
equals(arg0: Any): Boolean
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def
finalize(): Unit
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final
def
getClass(): Class[_]
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def
hashCode(): Int
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final
def
isInstanceOf[T0]: Boolean
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def
loadSavedModel(folder: String, spark: SparkSession): BertEmbeddings
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final
def
ne(arg0: AnyRef): Boolean
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final
def
notify(): Unit
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final
def
notifyAll(): Unit
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def
pretrained(name: String, lang: String, remoteLoc: String): BertEmbeddings
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def
pretrained(name: String, lang: String): BertEmbeddings
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def
pretrained(name: String): BertEmbeddings
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def
readTensorflow(instance: BertEmbeddings, path: String, spark: SparkSession): Unit
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def
readTensorflowChkPoints(path: String, spark: SparkSession, suffix: String, zipped: Boolean = true, tags: Array[String] = Array.empty, initAllTables: Boolean = false): TensorflowWrapper
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def
readTensorflowHub(path: String, spark: SparkSession, suffix: String, zipped: Boolean = true, useBundle: Boolean = false, tags: Array[String] = Array.empty): TensorflowWrapper
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def
readTensorflowModel(path: String, spark: SparkSession, suffix: String, zipped: Boolean = true, useBundle: Boolean = false, tags: Array[String] = Array.empty, initAllTables: Boolean = false): TensorflowWrapper
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def
readTensorflowWithSPModel(path: String, spark: SparkSession, suffix: String, zipped: Boolean = true, useBundle: Boolean = false, tags: Array[String] = Array.empty, initAllTables: Boolean = false, loadSP: Boolean = false): TensorflowWrapper
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final
def
synchronized[T0](arg0: ⇒ T0): T0
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val
tfFile: String
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def
toString(): String
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final
def
wait(): Unit
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final
def
wait(arg0: Long, arg1: Int): Unit
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final
def
wait(arg0: Long): Unit
Inherited from Serializable
Inherited from Serializable
Inherited from AnyRef
Inherited from Any