o
com.johnsnowlabs.nlp.annotators.assertion
BertForAssertionClassification
Companion class BertForAssertionClassification
object BertForAssertionClassification extends ReadablePretrainedBertAssertionClassifier with ReadBertAssertionClassifier with Serializable
Linear Supertypes
Ordering
- Alphabetic
- By Inheritance
Inherited
- BertForAssertionClassification
- Serializable
- Serializable
- ReadBertAssertionClassifier
- InternalReadOnnxModel
- ReadTensorflowModel
- ReadablePretrainedBertAssertionClassifier
- HasPretrained
- ParamsAndFeaturesReadable
- DefaultParamsReadable
- MLReadable
- AnyRef
- Any
- Hide All
- Show All
Visibility
- Public
- All
Value Members
-
final
def
!=(arg0: Any): Boolean
- Definition Classes
- AnyRef → Any
-
final
def
##(): Int
- Definition Classes
- AnyRef → Any
-
final
def
==(arg0: Any): Boolean
- Definition Classes
- AnyRef → Any
-
def
addReader(reader: (BertForAssertionClassification, String, SparkSession) ⇒ Unit): Unit
- Definition Classes
- ParamsAndFeaturesReadable
- def apply(model: PipelineStage): PipelineStage
-
final
def
asInstanceOf[T0]: T0
- Definition Classes
- Any
-
def
clone(): AnyRef
- Attributes
- protected[lang]
- Definition Classes
- AnyRef
- Annotations
- @throws( ... ) @native()
-
val
defaultLang: String
- Definition Classes
- HasPretrained
-
lazy val
defaultLoc: String
- Definition Classes
- ReadablePretrainedBertAssertionClassifier → HasPretrained
-
val
defaultModelName: Some[String]
- Definition Classes
- ReadablePretrainedBertAssertionClassifier → HasPretrained
-
val
defaultPreferredEngine: String
- Definition Classes
- HasPretrained
-
final
def
eq(arg0: AnyRef): Boolean
- Definition Classes
- AnyRef
-
def
equals(arg0: Any): Boolean
- Definition Classes
- AnyRef → Any
-
def
finalize(): Unit
- Attributes
- protected[lang]
- Definition Classes
- AnyRef
- Annotations
- @throws( classOf[java.lang.Throwable] )
-
final
def
getClass(): Class[_]
- Definition Classes
- AnyRef → Any
- Annotations
- @native()
- def getFromBertForSequenceClassification(model: MedicalBertForSequenceClassification): BertForAssertionClassification
-
def
hashCode(): Int
- Definition Classes
- AnyRef → Any
- Annotations
- @native()
-
final
def
isInstanceOf[T0]: Boolean
- Definition Classes
- Any
-
def
load(path: String): BertForAssertionClassification
- Definition Classes
- ReadablePretrainedBertAssertionClassifier → MLReadable
- def loadSavedModel(modelPath: String, spark: SparkSession): BertForAssertionClassification
-
final
def
ne(arg0: AnyRef): Boolean
- Definition Classes
- AnyRef
-
final
def
notify(): Unit
- Definition Classes
- AnyRef
- Annotations
- @native()
-
final
def
notifyAll(): Unit
- Definition Classes
- AnyRef
- Annotations
- @native()
-
def
onRead(instance: BertForAssertionClassification, path: String, session: SparkSession): Unit
- Attributes
- protected
- Definition Classes
- ParamsAndFeaturesReadable
-
val
onnxFile: String
- Definition Classes
- ReadBertAssertionClassifier → InternalReadOnnxModel
-
def
pretrained(name: String, lang: String, remoteLoc: String): BertForAssertionClassification
Java compliant-overrides
Java compliant-overrides
- Definition Classes
- ReadablePretrainedBertAssertionClassifier → HasPretrained
-
def
pretrained(name: String, lang: String): BertForAssertionClassification
- Definition Classes
- ReadablePretrainedBertAssertionClassifier → HasPretrained
-
def
pretrained(name: String): BertForAssertionClassification
- Definition Classes
- ReadablePretrainedBertAssertionClassifier → HasPretrained
-
def
pretrained(): BertForAssertionClassification
- Definition Classes
- ReadablePretrainedBertAssertionClassifier → HasPretrained
-
def
pretrained(name: String, lang: String, remoteLoc: String, preferredEngine: String): BertForAssertionClassification
- Definition Classes
- HasPretrained
-
def
pretrainedEngine(name: String, lang: String, preferredEngine: String): BertForAssertionClassification
- Definition Classes
- HasPretrained
-
def
pretrainedEngine(name: String, preferredEngine: String): BertForAssertionClassification
- Definition Classes
- HasPretrained
-
def
read: MLReader[BertForAssertionClassification]
- Definition Classes
- ParamsAndFeaturesReadable → DefaultParamsReadable → MLReadable
-
def
readModel(instance: BertForAssertionClassification, path: String, spark: SparkSession): Unit
- Definition Classes
- ReadBertAssertionClassifier
-
def
readOnnxModel(path: String, spark: SparkSession, suffix: String, zipped: Boolean = true, useBundle: Boolean = false, modelName: Option[String] = None, tmpFolder: Option[String] = None): InternalOnnxWrapper
- Definition Classes
- InternalReadOnnxModel
-
def
readOnnxModels(path: String, spark: SparkSession, modelNames: Seq[String], suffix: String, zipped: Boolean = true, useBundle: Boolean = false): Map[String, InternalOnnxWrapper]
- Definition Classes
- InternalReadOnnxModel
-
def
readTensorflowChkPoints(path: String, spark: SparkSession, suffix: String, zipped: Boolean, tags: Array[String], initAllTables: Boolean): TensorflowWrapper
- Definition Classes
- ReadTensorflowModel
-
def
readTensorflowHub(path: String, spark: SparkSession, suffix: String, zipped: Boolean, useBundle: Boolean, tags: Array[String]): TensorflowWrapper
- Definition Classes
- ReadTensorflowModel
-
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
-
def
readTensorflowWithSPModel(path: String, spark: SparkSession, suffix: String, zipped: Boolean, useBundle: Boolean, tags: Array[String], initAllTables: Boolean, loadSP: Boolean): TensorflowWrapper
- Definition Classes
- ReadTensorflowModel
-
val
readers: ArrayBuffer[(BertForAssertionClassification, String, SparkSession) ⇒ Unit]
- Attributes
- protected
- Definition Classes
- ParamsAndFeaturesReadable
-
val
skipPreferredEngine: Boolean
- Definition Classes
- HasPretrained
-
final
def
synchronized[T0](arg0: ⇒ T0): T0
- Definition Classes
- AnyRef
-
val
tfFile: String
- Definition Classes
- ReadBertAssertionClassifier → ReadTensorflowModel
-
def
toString(): String
- Definition Classes
- AnyRef → Any
-
final
def
wait(): Unit
- Definition Classes
- AnyRef
- Annotations
- @throws( ... )
-
final
def
wait(arg0: Long, arg1: Int): Unit
- Definition Classes
- AnyRef
- Annotations
- @throws( ... )
-
final
def
wait(arg0: Long): Unit
- Definition Classes
- AnyRef
- Annotations
- @throws( ... ) @native()