c

com.johnsnowlabs.ml.tensorflow

TensorflowClassifier

class TensorflowClassifier extends Serializable with ClassifierMetrics

Linear Supertypes
ClassifierMetrics, Logging, Serializable, AnyRef, Any
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Inherited
  1. TensorflowClassifier
  2. ClassifierMetrics
  3. Logging
  4. Serializable
  5. AnyRef
  6. Any
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Visibility
  1. Public
  2. Protected

Instance Constructors

  1. new TensorflowClassifier(tensorflow: TensorflowWrapper, encoder: ClassifierDatasetEncoder, testEncoder: Option[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. def aggregatedMetrics(labels: Seq[String], truePositives: Map[String, Int], falsePositives: Map[String, Int], falseNegatives: Map[String, Int], extended: Boolean, enableOutputLogs: Boolean, outputLogsPath: String, uuid: String = Identifiable.randomUID("ClassifierMetrics")): (Float, Float)
    Definition Classes
    ClassifierMetrics
  5. final def asInstanceOf[T0]: T0
    Definition Classes
    Any
  6. def calcStat(tp: Int, fp: Int, fn: Int): (Float, Float, Float)
    Definition Classes
    ClassifierMetrics
  7. def clone(): AnyRef
    Attributes
    protected[lang]
    Definition Classes
    AnyRef
    Annotations
    @throws(classOf[java.lang.CloneNotSupportedException]) @HotSpotIntrinsicCandidate() @native()
  8. val encoder: ClassifierDatasetEncoder
  9. final def eq(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  10. def equals(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef → Any
  11. final def getClass(): Class[_ <: AnyRef]
    Definition Classes
    AnyRef → Any
    Annotations
    @HotSpotIntrinsicCandidate() @native()
  12. def getLogName: String
    Definition Classes
    Logging
  13. def hashCode(): Int
    Definition Classes
    AnyRef → Any
    Annotations
    @HotSpotIntrinsicCandidate() @native()
  14. def internalPredict(inputs: Array[Array[Float]], numClasses: Int, configProtoBytes: Option[Array[Byte]] = None): Array[Int]
  15. final def isInstanceOf[T0]: Boolean
    Definition Classes
    Any
  16. def log(value: => String, minLevel: Level): Unit
    Attributes
    protected
    Definition Classes
    Logging
  17. val logger: Logger
    Attributes
    protected
    Definition Classes
    Logging
  18. def measure(labeled: Array[(Array[Float], Array[Int])], sourceData: String, extended: Boolean = false, enableOutputLogs: Boolean = false, outputLogsPath: String, batchSize: Int = 100): (Float, Float)
  19. final def ne(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  20. final def notify(): Unit
    Definition Classes
    AnyRef
    Annotations
    @HotSpotIntrinsicCandidate() @native()
  21. final def notifyAll(): Unit
    Definition Classes
    AnyRef
    Annotations
    @HotSpotIntrinsicCandidate() @native()
  22. def outputLog(value: => String, uuid: String, shouldLog: Boolean, outputLogsPath: String): Unit
    Attributes
    protected
    Definition Classes
    Logging
  23. def predict(docs: Seq[(Int, Seq[Annotation])], configProtoBytes: Option[Array[Byte]] = None): Seq[Annotation]
  24. final def synchronized[T0](arg0: => T0): T0
    Definition Classes
    AnyRef
  25. val tensorflow: TensorflowWrapper
  26. val testEncoder: Option[ClassifierDatasetEncoder]
  27. def toString(): String
    Definition Classes
    AnyRef → Any
  28. def train(inputs: (Array[Array[Float]], Array[String]), testInputs: Option[(Array[Array[Float]], 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, evaluationLogExtended: Boolean = false, enableOutputLogs: Boolean = false, outputLogsPath: String, uuid: String = Identifiable.randomUID("classifierdl")): Unit
  29. val verboseLevel: nlp.annotators.ner.Verbose.Value
    Definition Classes
    TensorflowClassifier → Logging
  30. final def wait(arg0: Long, arg1: Int): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws(classOf[java.lang.InterruptedException])
  31. final def wait(arg0: Long): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws(classOf[java.lang.InterruptedException]) @native()
  32. final def wait(): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws(classOf[java.lang.InterruptedException])

Deprecated Value Members

  1. def finalize(): Unit
    Attributes
    protected[lang]
    Definition Classes
    AnyRef
    Annotations
    @throws(classOf[java.lang.Throwable]) @Deprecated
    Deprecated

    (Since version 9)

Inherited from ClassifierMetrics

Inherited from Logging

Inherited from Serializable

Inherited from AnyRef

Inherited from Any

Ungrouped