private void btn_Save_Click(object sender, EventArgs e)
{
SaveFileDialog sfd = new SaveFileDialog();
sfd.ShowDialog();
sfd.Filter = "Neuron State Files (*.neuron)|*.neuron";
if (sfd.FileName != null)
{
using (FormattedWriter fw = new FormattedWriter(sfd.FileName))
{
ProgramStateFile psf = new ProgramStateFile();
psf.version = 0;
psf.nodes = inputs.Concat(hiddens).Concat(outputs).Select(x => new Node()
{
x = x.MainControl.Location.X,
y = x.MainControl.Location.Y,
size = x.Data.size,
name = new StringData()
{
Contents = x.Data.name
},
type = x.Data.fvt,
numlinks = x.Edges.Count,
links = x.Edges.Select(edge => new Link()
{
matrix = new MatrixFormat(edge.Value.Data.weights.CopyToArray()),
nodename = new StringData()
{
Contents = edge.Key.Data.name
}
}).ToArray()
}).ToArray();
psf.numNodes = psf.nodes.Length;
psf.configurations = new StringData[data_configurations.Rows.Count];
for (int i = 0; i < psf.configurations.Length; i++)
{
psf.configurations[i].Contents = data_configurations.Rows[i].Cells[2].Value.ToString();
}
psf.numConfigurations = psf.configurations.Length;
psf.trainings = new StringData[data_training.Rows.Count];
for (int i = 0; i < psf.trainings.Length; i++)
{
psf.trainings[i].Contents = data_training.Rows[i].Cells[2].Value.ToString();
}
psf.numTrainings = psf.trainings.Length;
psf.crossValidations = new StringData[data_crossValidationData.Rows.Count];
for (int i = 0; i < psf.crossValidations.Length; i++)
{
psf.crossValidations[i].Contents = data_crossValidationData.Rows[i].Cells[2].Value.ToString();
}
psf.numCrossValidations = psf.crossValidations.Length;
fw.Write(psf);
}
}
}
private void btn_Save_Click(object sender, EventArgs e)
{
SaveFileDialog sfd = new SaveFileDialog();
sfd.ShowDialog();
sfd.Filter = "Neuron State Files (*.neuron)|*.neuron";
if (sfd.FileName != null)
{
using (FormattedWriter fw = new FormattedWriter(sfd.FileName))
{
ProgramStateFile psf = new ProgramStateFile();
psf.version = 0;
psf.nodes = inputs.Concat(hiddens).Concat(outputs).Select(x => new Node()
{
x = x.MainControl.Location.X,
y = x.MainControl.Location.Y,
size = x.Data.size,
name = new StringData() { Contents = x.Data.name },
type = x.Data.fvt,
numlinks = x.Edges.Count,
links = x.Edges.Select(edge => new Link()
{
matrix = new MatrixFormat(edge.Value.Data.weights.CopyToArray()),
nodename = new StringData() { Contents = edge.Key.Data.name }
}).ToArray()
}).ToArray();
psf.numNodes = psf.nodes.Length;
psf.configurations = new StringData[data_configurations.Rows.Count];
for (int i = 0; i < psf.configurations.Length; i++)
{
psf.configurations[i].Contents = data_configurations.Rows[i].Cells[2].Value.ToString();
}
psf.numConfigurations = psf.configurations.Length;
psf.trainings = new StringData[data_training.Rows.Count];
for (int i = 0; i < psf.trainings.Length; i++)
{
psf.trainings[i].Contents = data_training.Rows[i].Cells[2].Value.ToString();
}
psf.numTrainings = psf.trainings.Length;
psf.crossValidations = new StringData[data_crossValidationData.Rows.Count];
for (int i = 0; i < psf.crossValidations.Length; i++)
{
psf.crossValidations[i].Contents = data_crossValidationData.Rows[i].Cells[2].Value.ToString();
}
psf.numCrossValidations = psf.crossValidations.Length;
fw.Write(psf);
}
}
}