Package org.apache.tika.detect

Class NNTrainedModel

java.lang.Object
org.apache.tika.detect.TrainedModel
org.apache.tika.detect.NNTrainedModel
public class NNTrainedModel extends TrainedModel

  • Constructor Summary

    Constructors
    Constructor
    Description
    NNTrainedModel(int nInput, int nHidden, int nOutput, float[] nn_params)
     

  • Method Summary

    Modifier and Type
    Method
    Description
    double
    predict(double[] unseen)
     
    float
    predict(float[] unseen)
    The given input vector of unseen is m=(256 + 1) * n= 1 this returns a prediction probability

    Methods inherited from class java.lang.Object

    clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

  • Constructor Details

    • NNTrainedModel

      public NNTrainedModel(int nInput, int nHidden, int nOutput, float[] nn_params)

  • Method Details

    • predict

      public double predict(double[] unseen)
      Specified by:
      predict in class TrainedModel

    • predict

      public float predict(float[] unseen)
      The given input vector of unseen is m=(256 + 1) * n= 1 this returns a prediction probability
      Specified by:
      predict in class TrainedModel