NNTrainedModel (Apache Tika 3.0.0 API)

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

All Methods Instance Methods Concrete Methods
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 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