private static void write_about_rows(XmlWriter writer, c_samples_set samplesSet)
{
writer.WriteStartElement("Rows");
writer.WriteAttributeString("Count", XmlConvert.ToString(samplesSet.Data_Rows.Count()));
for (int i = 0; i < samplesSet.Data_Rows.Count; i++)
{
writer.WriteStartElement("Row");
for (int j = 0; j < samplesSet.Count_Vars; j++)
{
if (samplesSet.Input_Attribute(j).labels_values.Count() > 0)
{
writer.WriteElementString(samplesSet.Input_Attribute(j).Name,
samplesSet.Data_Rows[i].Input_Attribute_String[j]);
}
else
{
writer.WriteElementString(samplesSet.Input_Attribute(j).Name,
XmlConvert.ToString(samplesSet.Data_Rows[i].Input_Attribute_Value[j]));
}
}
writer.WriteElementString(samplesSet.Output_Attributes.Name, samplesSet.Data_Rows[i].Class_Label);
writer.WriteEndElement();
}
writer.WriteEndElement();
}
private static void write_about_table(XmlWriter writer, c_samples_set samplesSet, c_Fuzzy_System Classifier)
{
writer.WriteStartElement("Table");
writer.WriteAttributeString("Name", samplesSet.File_Name.Remove(samplesSet.File_Name.Length - 4, 4));
if (samplesSet == Classifier.Learn_Samples_set)
{
writer.WriteAttributeString("Type", "Training");
}
else
{
writer.WriteAttributeString("Type", "Testing");
}
writer.WriteAttributeString("Output", samplesSet.Output_Attributes.Name);
writer.WriteStartElement("Attributes");
writer.WriteAttributeString("Count", XmlConvert.ToString(samplesSet.Count_Vars));
for (int i = 0; i < samplesSet.Count_Vars; i++)
{
write_about_attribute(writer, samplesSet.Input_Attribute(i));
}
write_about_attribute(writer, samplesSet.Output_Attributes);
writer.WriteEndElement();
write_about_rows(writer, samplesSet);
writer.WriteEndElement();
}