public static void Save(NnProject nnProject, string saveFolder)
{
// 使用默认或传递的文件夹？
if (saveFolder.Length > 0)
{
nnProject.SaveFolder = saveFolder;
}
// 保存网络
string path = System.IO.Path.Combine(nnProject.SaveFolder, nnProject.ProjectName + ".ndn");
SaveNeuralNetwork(nnProject.Network, path);
// 保存数据集
path = System.IO.Path.Combine(nnProject.SaveFolder, nnProject.ProjectName + ".trn");
SaveTrainingSet(nnProject.TrainingSet, path);
if (nnProject.CrossValidationSet != null)
{
path = System.IO.Path.Combine(nnProject.SaveFolder, nnProject.ProjectName + ".crv");
SaveTrainingSet(nnProject.CrossValidationSet, path);
}
// 保存学习参数
path = System.IO.Path.Combine(nnProject.SaveFolder, nnProject.ProjectName + ".xml");
NnLearningParameters.Serialize(path, nnProject.LearningParameters);
}
public static NnProject Load(string path)
{
NnProject nnProject = new NnProject();
nnProject.SaveFolder = System.IO.Path.GetDirectoryName(path);
nnProject.ProjectName = System.IO.Path.GetFileName(path);
nnProject.ProjectName = nnProject.ProjectName.Remove(nnProject.ProjectName.IndexOf('.'));
// 加载网络
string path2 = System.IO.Path.Combine(nnProject.SaveFolder, nnProject.ProjectName + ".ndn");
nnProject.Network = (BackpropagationNetwork)LoadNeuralNetwork(path2);
// 加载数据集
path2 = System.IO.Path.Combine(nnProject.SaveFolder, nnProject.ProjectName + ".trn");
nnProject.TrainingSet = LoadTrainingSet(path2);
path2 = System.IO.Path.Combine(nnProject.SaveFolder, nnProject.ProjectName + ".crv");
if (File.Exists(path2))
{
nnProject.CrossValidationSet = LoadTrainingSet(path2);
}
// 保存学习参数
path2 = System.IO.Path.Combine(nnProject.SaveFolder, nnProject.ProjectName + ".xml");
nnProject.LearningParameters = NnLearningParameters.Deserialize(path2);
return(nnProject);
}
public static void Serialize(string path, NnLearningParameters pms)
{
System.Xml.Serialization.XmlSerializer xs = new System.Xml.Serialization.XmlSerializer(typeof(NnProject.NnLearningParameters));
using (StreamWriter sw = new StreamWriter(path))
{
xs.Serialize(sw, pms);
}
}
