protected const int MAX_EPOCHS = 1000; //Limiting the number of iterations in the process.
/*
* CONSTRUCTORS
*/
public NeuralNetwork(DataSetReader dataSet, double[] target, double bias, double eta)
{
this.target = target;
this.data = dataSet.data;
this.featureMask = VectorTools.sequence(dataSet.features);
this.classMask = VectorTools.sequence(dataSet.classes);
this.weight = VectorTools.ones(this.featureMask.Length + 1); //+1 for bias.
this.samples = dataSet.samples;
this.eta = eta;
this.bias = bias;
}
public NeuralNetwork(DataSetReader dataSet, double[] target, double eta, double bias, double[] featureMask, double[] classMask)
{
if (featureMask.Length > dataSet.features || featureMask.Length < 1)
{
throw new ArgumentOutOfRangeException("Number of features specified is not applicable");
}
this.target = target;
this.data = dataSet.data;
this.featureMask = featureMask;
this.classMask = classMask;
this.weight = VectorTools.ones(this.featureMask.Length + 1); //+1 for bias.
this.samples = dataSet.samples;
this.eta = eta;
this.bias = bias;
}
