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

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

Constructor Detail

NNTrainedModel

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

Method Detail

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