static RnnTrainResult Train(DataSet data, int layer1NodeCount, int layer2NodeCount, int epochMax)
{
var numInputs = data.Input.RowCount;
var layers = new List <LayerSpec> {
new LayerSpec(layer1NodeCount, true, ActivationType.LogisticSigmoid),
new LayerSpec(layer2NodeCount, true, ActivationType.LogisticSigmoid),
new LayerSpec(1, false, ActivationType.Linear)
};
var weightCount = RNN.GetWeightCount(layers, numInputs);
var initialWeights = QuqeUtil.MakeRandomVector(weightCount, -1, 1);
return(RNN.TrainSCG(layers, initialWeights, epochMax, data.Input, data.Output));
}
