object ZeroShotNerModel extends ReadablePretrainedZeroShotNer with ReadZeroShotNerTensorflowModel with Serializable
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- ZeroShotNerModel
- Serializable
- Serializable
- ReadZeroShotNerTensorflowModel
- ReadOnnxModel
- ReadTensorflowModel
- ReadablePretrainedZeroShotNer
- HasPretrained
- ParamsAndFeaturesReadable
- DefaultParamsReadable
- MLReadable
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def
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final
def
==(arg0: Any): Boolean
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def
addReader(reader: (ZeroShotNerModel, String, SparkSession) ⇒ Unit): Unit
- Definition Classes
- ParamsAndFeaturesReadable
- def apply(model: PipelineStage): PipelineStage
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final
def
asInstanceOf[T0]: T0
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def
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val
defaultLang: String
- Definition Classes
- HasPretrained
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lazy val
defaultLoc: String
- Definition Classes
- ReadablePretrainedZeroShotNer → HasPretrained
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val
defaultModelName: Some[String]
- Definition Classes
- ReadablePretrainedZeroShotNer → HasPretrained
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final
def
eq(arg0: AnyRef): Boolean
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finalize(): Unit
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final
def
getClass(): Class[_]
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- @native()
- def getFromRoBertaForQuestionAnswering(model: RoBertaForQuestionAnswering): ZeroShotNerModel
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def
hashCode(): Int
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final
def
isInstanceOf[T0]: Boolean
- Definition Classes
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def
load(path: String): ZeroShotNerModel
- Definition Classes
- ReadablePretrainedZeroShotNer → MLReadable
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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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val
onnxFile: String
- Definition Classes
- ReadZeroShotNerTensorflowModel → ReadOnnxModel
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def
pretrained(name: String, lang: String, remoteLoc: String): ZeroShotNerModel
- Definition Classes
- ReadablePretrainedZeroShotNer → HasPretrained
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def
pretrained(name: String, lang: String): ZeroShotNerModel
- Definition Classes
- ReadablePretrainedZeroShotNer → HasPretrained
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def
pretrained(name: String): ZeroShotNerModel
- Definition Classes
- ReadablePretrainedZeroShotNer → HasPretrained
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def
pretrained(): ZeroShotNerModel
Java compliant-overrides
Java compliant-overrides
- Definition Classes
- ReadablePretrainedZeroShotNer → HasPretrained
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def
read: MLReader[ZeroShotNerModel]
- Definition Classes
- ParamsAndFeaturesReadable → DefaultParamsReadable → MLReadable
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def
readModel(instance: ZeroShotNerModel, path: String, spark: SparkSession): Unit
- Definition Classes
- ReadZeroShotNerTensorflowModel
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def
readOnnxModel(path: String, spark: SparkSession, suffix: String, zipped: Boolean, useBundle: Boolean, modelName: Option[String], tmpFolder: Option[String], dataFilePostfix: Option[String]): OnnxWrapper
- Definition Classes
- ReadOnnxModel
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def
readOnnxModels(path: String, spark: SparkSession, modelNames: Seq[String], suffix: String, zipped: Boolean, useBundle: Boolean, dataFilePostfix: String): Map[String, OnnxWrapper]
- Definition Classes
- ReadOnnxModel
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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
- Definition Classes
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val
tfFile: String
- Definition Classes
- ReadZeroShotNerTensorflowModel → ReadTensorflowModel
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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
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