protected override void Test()
{
ConvNet lenet1;
var fpath = Path.Combine(OutputPath, "cn_e26_p0.06.mld");
//var fpath = @"F:\Work\git\ML\solution\ML.DigitsDemo\lenet1.mld";
using (var stream = File.Open(fpath, FileMode.Open))
{
lenet1 = ConvNet.Deserialize(stream);
}
var alg = new BackpropAlgorithm(lenet1);
var fout = Path.Combine(SrcPath, "result1.csv");
using (var file = File.Open(fout, FileMode.Create, FileAccess.Write))
using (var writer = new StreamWriter(file))
{
writer.WriteLine("ImageId,Label");
int num = 1;
foreach (var data in m_Test)
{
var mark = alg.Predict(data);
var idx = GeneralUtils.ArgMax(mark);
var cls = m_Classes[idx];
writer.WriteLine("{0},{1}", num++, (int)cls.Value);
}
writer.Flush();
}
}
protected override double CalculateProximity(double[] mark1, double[] mark2, double threshold)
{
if (mark1 == null || mark2 == null)
{
return((mark1 == mark2) ? 0 : double.PositiveInfinity);
}
var len = mark1.Length;
if (mark1.Length != mark2.Length)
{
return(double.PositiveInfinity);
}
return(GeneralUtils.ArgMax(mark1) == GeneralUtils.ArgMax(mark2) ? 0 : 1);
}