Class

com.johnsnowlabs.ml.tensorflow

TensorflowAssertion

Related Doc: package tensorflow

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class TensorflowAssertion extends Logging

Created by jose on 15/03/18.

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Logging, AnyRef, Any
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  1. TensorflowAssertion
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Visibility
  1. Public
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Instance Constructors

  1. new TensorflowAssertion(tensorflow: TensorflowWrapper, encoder: AssertionDatasetEncoder, batchSize: Int, verboseLevel: nlp.annotators.ner.Verbose.Value)

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Value Members

  1. final def !=(arg0: Any): Boolean

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    Definition Classes
    AnyRef → Any
  2. final def ##(): Int

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    AnyRef → Any
  3. final def ==(arg0: Any): Boolean

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    AnyRef → Any
  4. final def asInstanceOf[T0]: T0

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  5. val batchSize: Int

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  6. def clone(): AnyRef

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    Attributes
    protected[java.lang]
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    AnyRef
    Annotations
    @throws( ... )
  7. val encoder: AssertionDatasetEncoder

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  8. final def eq(arg0: AnyRef): Boolean

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    AnyRef
  9. def equals(arg0: Any): Boolean

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  10. def finalize(): Unit

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    protected[java.lang]
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    @throws( classOf[java.lang.Throwable] )
  11. final def getClass(): Class[_]

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  12. def getLogName: String

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    Logging
  13. def hashCode(): Int

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  14. final def isInstanceOf[T0]: Boolean

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    Any
  15. def log(value: ⇒ String, minLevel: Level): Unit

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    Attributes
    protected
    Definition Classes
    Logging
  16. val logger: Logger

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    Attributes
    protected
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    Logging
  17. final def ne(arg0: AnyRef): Boolean

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  18. final def notify(): Unit

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  19. final def notifyAll(): Unit

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  20. def outputLog(value: ⇒ String, uuid: String, shouldLog: Boolean): Unit

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    Attributes
    protected
    Definition Classes
    Logging
  21. def predict(chunks: Array[IndexedChunk], maxLen: Int, embeddingsDim: Int, configProtoBytes: Option[Array[Byte]] = None): Array[AssertionAnnotationWithLabel]

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  22. final def synchronized[T0](arg0: ⇒ T0): T0

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    Definition Classes
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  23. val tensorflow: TensorflowWrapper

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  24. def toString(): String

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    Definition Classes
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  25. def train(trainDataset: Array[(WordpieceEmbeddingsSentence, AssertionAnnotationWithLabel)], lr: Float, batchSize: Int, dropout: Float, startEpoch: Int, endEpoch: Int, maxLen: Int, embeddingsDim: Int, configProtoBytes: Option[Array[Byte]] = None): Unit

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  26. val verboseLevel: nlp.annotators.ner.Verbose.Value

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    Definition Classes
    TensorflowAssertion → Logging
  27. final def wait(): Unit

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    @throws( ... )
  28. final def wait(arg0: Long, arg1: Int): Unit

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    @throws( ... )
  29. final def wait(arg0: Long): Unit

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    @throws( ... )

Inherited from Logging

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