public LearningAlgoManager()
{
lrAlgo = new iLearningAlgo.ILearningAlgo[countAlgoLib];
myTeacherTypeList = new string[countAlgoLib][];
lrAlgo[0] = new NeroNetLearningAlgoritm();
geneticParams = new GeneticParam();
TeacherTypesList = new string[0];
for (int i = 0; i < countAlgoLib; i++)
{
myTeacherTypeList[i] = lrAlgo[i].getTeacherTypesList();
TeacherTypesList = TeacherTypesList.Concat(myTeacherTypeList[i]).ToArray();
}
// TeacherTypesList = lrAlgo[0].getTeacherTypesList();
//new string[] { "Обучатель 1", "Обучатель 2", "Обучатель 3" };
// ParamsName = lrAlgo[0].getParamsNames();
// ParamsValue = lrAlgo[0].getParams(); //new float[] { 0, 0.3f, 1f, 5f };
}
public LearningAlgoManager()
{
lrAlgo = new iLearningAlgo.ILearningAlgo[countAlgoLib];
myTeacherTypeList = new string[countAlgoLib][];
lrAlgo[0] = new NeroNetLearningAlgoritm();
lrAlgo[1] = new KohonenLearningAlgorithms();
lrAlgo[2] = new DecisionTreeLearningAlgo();
algoParams = new AlgoParam();
TeacherTypesList = new string[0];
for (int i = 0; i < countAlgoLib; i++)
{
myTeacherTypeList[i] = lrAlgo[i].getTeacherTypesList();
TeacherTypesList = TeacherTypesList.Concat(myTeacherTypeList[i]).ToArray();
}
//TeacherTypesList = TeacherTypesList.Concat("Деревья решений").ToArray();
// TeacherTypesList = lrAlgo[0].getTeacherTypesList();
//new string[] { "Обучатель 1", "Обучатель 2", "Обучатель 3" };
// ParamsName = lrAlgo[0].getParamsNames();
// ParamsValue = lrAlgo[0].getParams(); //new float[] { 0, 0.3f, 1f, 5f };
}
