private void ResultMatrix()
{
// TODO: 大段邏輯重複，放棄修正
var rd = new Random();
Matrix <Double> matrix = Matrix <Double> .Build.Random(this._resultNumber, 16384);
Matrix <Double> result = Matrix <Double> .Build.Random(this._resultNumber, 62);
for (Int32 i = 0; i < this._resultNumber; i++)
{
int category = rd.Next(1, 63);
int a = rd.Next(1, 1017);
FntConvertMatrix fnt = new FntConvertMatrix(category);
matrix.SetRow(i, fnt.GetImages().Row(a));
Double[] b = new Double[62];
for (int j = 0; j < 62; j++)
{
b[j] = 0;
if (j == category - 1)
{
b[j] = 1;
}
}
result.SetRow(i, b);
}
this._resultMatrix = matrix;
this._resultTestMatrix = result;
}
private void TrainMatrix()
{
var rd = new Random((1 << 13) - 1);
Matrix <Double> matrix = Matrix <Double> .Build.Dense(this._trainNumber, 16384);
Matrix <Double> test = Matrix <Double> .Build.Dense(this._trainNumber, 62);
for (Int32 i = 0; i < this._trainNumber; i++)
{
Int32 category = rd.Next(1, 63);
Int32 a = rd.Next(1, 1017);
FntConvertMatrix fnt = new FntConvertMatrix(category);
matrix.SetRow(i, fnt.GetImages().Row(a));
// TODO: 放棄修正
//var bs = new List<Double>();
//for (Int32 j = 0; j < 62; j++) {
// bs.Add(j == (category - 1) ? 1 : 0);
//}
//test.SetRow(i, bs.ToArray());
var b = new Double[62];
for (Int32 j = 0; j < 62; j++)
{
b[j] = 0;
if (j == category - 1)
{
b[j] = 1;
}
}
test.SetRow(i, b);
}
this._trainMatrix = matrix;
this._testMatrix = test;
}
