c

com.johnsnowlabs.ml.tensorflow

TensorflowClassifier

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
  6. Any
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Visibility
  1. Public
  2. All

Instance Constructors

  1. new TensorflowClassifier(tensorflow: TensorflowWrapper, encoder: ClassifierDatasetEncoder, verboseLevel: nlp.annotators.ner.Verbose.Value)

Value Members

  1. final def !=(arg0: Any): Boolean
    Definition Classes
    AnyRef → Any
  2. final def ##(): Int
    Definition Classes
    AnyRef → Any
  3. final def ==(arg0: Any): Boolean
    Definition Classes
    AnyRef → Any
  4. final def asInstanceOf[T0]: T0
    Definition Classes
    Any
  5. def clone(): AnyRef
    Attributes
    protected[lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( ... ) @native()
  6. val encoder: ClassifierDatasetEncoder
  7. final def eq(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  8. def equals(arg0: Any): Boolean
    Definition Classes
    AnyRef → Any
  9. def finalize(): Unit
    Attributes
    protected[lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( classOf[java.lang.Throwable] )
  10. final def getClass(): Class[_]
    Definition Classes
    AnyRef → Any
    Annotations
    @native()
  11. def getLogName: String
    Definition Classes
    Logging
  12. def hashCode(): Int
    Definition Classes
    AnyRef → Any
    Annotations
    @native()
  13. def internalPredict(inputs: Array[Array[Float]], configProtoBytes: Option[Array[Byte]] = None): Array[Int]
  14. final def isInstanceOf[T0]: Boolean
    Definition Classes
    Any
  15. def log(value: ⇒ String, minLevel: Level): Unit
    Attributes
    protected
    Definition Classes
    Logging
  16. val logger: Logger
    Attributes
    protected
    Definition Classes
    Logging
  17. def measure(labeled: Array[(Array[Float], Array[Int])], log: (String) ⇒ Unit, extended: Boolean = false, batchSize: Int = 100): Float
  18. final def ne(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  19. final def notify(): Unit
    Definition Classes
    AnyRef
    Annotations
    @native()
  20. final def notifyAll(): Unit
    Definition Classes
    AnyRef
    Annotations
    @native()
  21. def outputLog(value: ⇒ String, uuid: String, shouldLog: Boolean, outputLogsPath: String): Unit
    Attributes
    protected
    Definition Classes
    Logging
  22. def predict(docs: Seq[(Int, Seq[Annotation])], configProtoBytes: Option[Array[Byte]] = None): Seq[Annotation]
  23. final def synchronized[T0](arg0: ⇒ T0): T0
    Definition Classes
    AnyRef
  24. val tensorflow: TensorflowWrapper
  25. def toString(): String
    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
  27. val verboseLevel: nlp.annotators.ner.Verbose.Value
    Definition Classes
    TensorflowClassifier → Logging
  28. final def wait(): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  29. final def wait(arg0: Long, arg1: Int): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  30. final def wait(arg0: Long): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... ) @native()

Inherited from Logging

Inherited from Serializable

Inherited from Serializable

Inherited from AnyRef

Inherited from Any

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