public class NNTrainedModel extends TrainedModel
Constructor and Description |
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NNTrainedModel(int nInput,
int nHidden,
int nOutput,
float[] nn_params) |
Modifier and Type | Method and Description |
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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
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public NNTrainedModel(int nInput, int nHidden, int nOutput, float[] nn_params)
public double predict(double[] unseen)
predict
in class TrainedModel
public float predict(float[] unseen)
predict
in class TrainedModel
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