object MedicalNerModel extends ReadablePretrainedMedicalNer with ReadsMedicalNerGraph with Serializable
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- MedicalNerModel
- Serializable
- Serializable
- ReadsMedicalNerGraph
- ReadTensorflowModel
- ReadablePretrainedMedicalNer
- HasPretrained
- ParamsAndFeaturesReadable
- DefaultParamsReadable
- MLReadable
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def
==(arg0: Any): Boolean
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def
addReader(reader: (MedicalNerModel, String, SparkSession) ⇒ Unit): Unit
- Definition Classes
- ParamsAndFeaturesReadable
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final
def
asInstanceOf[T0]: T0
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val
defaultLang: String
- Definition Classes
- HasPretrained
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lazy val
defaultLoc: String
- Definition Classes
- ReadablePretrainedMedicalNer → HasPretrained
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val
defaultModelName: Some[String]
- Definition Classes
- ReadablePretrainedMedicalNer → HasPretrained
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final
def
isInstanceOf[T0]: Boolean
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def
load(path: String): MedicalNerModel
- Definition Classes
- MLReadable
- Annotations
- @Since( "1.6.0" )
- def loadSavedModel(nerDLModelPath: String, amendedTfPath: String, spark: SparkSession): MedicalNerModel
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final
def
notifyAll(): Unit
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def
pretrained(name: String, lang: String, remoteLoc: String): MedicalNerModel
- Definition Classes
- ReadablePretrainedMedicalNer → HasPretrained
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def
pretrained(name: String, lang: String): MedicalNerModel
- Definition Classes
- ReadablePretrainedMedicalNer → HasPretrained
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def
pretrained(name: String): MedicalNerModel
- Definition Classes
- ReadablePretrainedMedicalNer → HasPretrained
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def
pretrained(): MedicalNerModel
Java compliant-overrides
Java compliant-overrides
- Definition Classes
- ReadablePretrainedMedicalNer → HasPretrained
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def
read: MLReader[MedicalNerModel]
- Definition Classes
- ParamsAndFeaturesReadable → DefaultParamsReadable → MLReadable
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def
readNerGraph(instance: MedicalNerModel, path: String, spark: SparkSession): Unit
- Definition Classes
- ReadsMedicalNerGraph
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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
- ReadsMedicalNerGraph → ReadTensorflowModel
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def
toString(): String
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