public static result_state parse_file(string file_path, out double[][] train_data, out double[] result_data, string split_char = ",")
{
var result = new result_state();
string file_content;
var file_handle = read_file(file_path, out file_content);
train_data = null;
result_data = null;
if (file_handle.has_errors())
{
return(file_handle);
}
var lines = file_content.Split("\n");
// data, .. , result
var data_size = lines[0].Split(split_char).Length - 1;
train_data = ml_funcs.matrix_create(lines.Length - 1, data_size);
result_data = new double[lines.Length - 1];
for (var row = 0; row < lines.Length - 1; row++)
{
var temp_line = lines[row].Split(split_char);
for (var col = 0; col < temp_line.Length - 1; col++)
{
train_data[row][col] = Convert.ToDouble(temp_line[col]);
}
result_data[row] = Convert.ToDouble(temp_line[temp_line.Length - 1]);
}
return(result);
}
public static result_state read_file(string file_path, out string file_content)
{
var result = new result_state();
file_content = "";
if (!File.Exists(file_path))
{
result.add_error($"File {file_path} does not exist");
return(result);
}
var file = File.Open(file_path, FileMode.Open);
var bytesRead = new byte[file.Length];
file.Read(bytesRead, 0, (int)file.Length);
file.Close();
var charArray = new char[bytesRead.Length];
for (int i = 0; i < bytesRead.Length; i++)
{
charArray[i] = (char)bytesRead[i];
}
file_content = string.Concat(charArray);
return(result);
}
public void combine_errors(result_state result)
{
if (!result.has_errors())
{
return;
}
foreach (var item in result.error_list)
{
if (item != null)
{
add_error(item);
}
}
}
