Class

com.johnsnowlabs.ml.tensorflow

TensorflowClassifier

Related Doc: package tensorflow

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class TensorflowClassifier extends Serializable with Logging

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Logging, Serializable, Serializable, AnyRef, Any
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Inherited
  1. TensorflowClassifier
  2. Logging
  3. Serializable
  4. Serializable
  5. AnyRef
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Visibility
  1. Public
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Instance Constructors

  1. new TensorflowClassifier(tensorflow: TensorflowWrapper, encoder: ClassifierDatasetEncoder, 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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    Definition Classes
    AnyRef → Any

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

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    Definition Classes
    AnyRef → Any

  4. final def asInstanceOf[T0]: T0

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    Definition Classes
    Any

  5. def clone(): AnyRef

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    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

  6. val encoder: ClassifierDatasetEncoder

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

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    Definition Classes
    AnyRef

  8. def equals(arg0: Any): Boolean

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    Definition Classes
    AnyRef → Any

  9. def finalize(): Unit

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    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( classOf[java.lang.Throwable] )

  10. final def getClass(): Class[_]

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    Definition Classes
    AnyRef → Any

  11. def getLogName: String

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    Definition Classes
    Logging

  12. def hashCode(): Int

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    Definition Classes
    AnyRef → Any

  13. def internalPredict(inputs: Array[Array[Float]], configProtoBytes: Option[Array[Byte]] = None): Array[Int]

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  14. final def isInstanceOf[T0]: Boolean

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    Definition Classes
    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
    Definition Classes
    Logging

  17. def measure(labeled: Array[(Array[Float], Array[Int])], log: (String) ⇒ Unit, extended: Boolean = false, batchSize: Int = 100): Float

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  18. final def ne(arg0: AnyRef): Boolean

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    Definition Classes
    AnyRef

  19. final def notify(): Unit

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    Definition Classes
    AnyRef

  20. final def notifyAll(): Unit

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    Definition Classes
    AnyRef

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

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    Attributes
    protected
    Definition Classes
    Logging

  22. def predict(docs: Seq[(Int, Seq[Annotation])], configProtoBytes: Option[Array[Byte]] = None): Seq[Annotation]

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

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    Definition Classes
    AnyRef

  24. val tensorflow: TensorflowWrapper

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  25. def toString(): String

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    Definition Classes
    AnyRef → Any

  26. def train(inputs: Array[Array[Float]], labels: Array[String], classNum: Int, lr: Float = 5e-3f, batchSize: Int = 64, dropout: Float = 0.5f, startEpoch: Int = 0, endEpoch: Int = 10, configProtoBytes: Option[Array[Byte]] = None, validationSplit: Float = 0.0f, enableOutputLogs: Boolean = false, outputLogsPath: String, uuid: String = ...): Unit

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

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    Definition Classes
    TensorflowClassifier → Logging

  28. final def wait(): Unit

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

  29. final def wait(arg0: Long, arg1: Int): Unit

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    Annotations
    @throws( ... )

  30. final def wait(arg0: Long): Unit

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    Definition Classes
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    Annotations
    @throws( ... )

Inherited from Logging

Inherited from Serializable

Inherited from Serializable

Inherited from AnyRef

Inherited from Any

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