static void Main(string[] args)
{
if (args.Length > 3 | args.Length < 1 | args.Length < 3)
{
Console.WriteLine("Requires a previously trained and saved Model File");
Console.WriteLine("Usage <testfile> <label file> <Model File>");
System.Environment.Exit(-1);
}
Console.WriteLine("Logisitic Regression Prediction\n");
string testFname = args[0];
string labelsFname = args[1];
string ModelFname = args[2];
double[,] Rawdata;
double[,] labeldata;
// Read in the test data, validate file existence by attempting to open the files first
try
{
FileStream fs = File.Open(testFname, FileMode.Open, FileAccess.Write, FileShare.None);
fs.Close();
// Reuse fs for validating labels
fs = File.Open(labelsFname, FileMode.Open, FileAccess.Write, FileShare.None);
fs.Close();
fs = File.Open(ModelFname, FileMode.Open, FileAccess.Read, FileShare.None);
fs.Close();
}
catch (Exception e)
{
Console.WriteLine("Error opening file{0}", e);
System.Environment.Exit(-1);
}
using (CsvReader reader = new CsvReader(testFname, hasHeaders: false))
{
Rawdata = reader.ToMatrix();
}
using (CsvReader reader = new CsvReader(labelsFname, hasHeaders: false))
{
labeldata = reader.ToMatrix();
}
// Convert Raw data to Jagged array
double[][] testdata = Rawdata.ToJagged();
int[] output1 = funcs.convetToJaggedArray(labeldata);
int [] answers = new int[labeldata.GetLength(0)];
// For Accord.net Logistic Regression the input data needs to be in Jagged Arrays
// Labels can either be int (1,0) or bools
if (ModelFname.IndexOf("bfgs", StringComparison.OrdinalIgnoreCase) >= 0)
{
// Load a BFGS regression model
try
{
MultinomialLogisticRegression mlr = Serializer.Load <MultinomialLogisticRegression>(ModelFname);
answers = mlr.Decide(testdata);
} catch (Exception e)
{
Console.WriteLine("Error opening model file: {0}", ModelFname);
Console.WriteLine("Exception {0}", e);
System.Environment.Exit(-1);
}
}
else if (ModelFname.IndexOf("pcd", StringComparison.OrdinalIgnoreCase) >= 0)
{
LogisticRegression regression = new LogisticRegression();
try
{
regression = Serializer.Load <LogisticRegression>(ModelFname);
answers = funcs.BoolToInt(regression.Decide(testdata));
}
catch (Exception e)
{
Console.WriteLine("Error opening model file: {0}", ModelFname);
Console.WriteLine("Exception {0}", e);
System.Environment.Exit(-1);
}
}
Console.WriteLine("Successfully loaded model file => {0}", ModelFname);
double subtotal = 0;
int index = 0;
foreach (var result in answers)
{
if (result == output1[index])
{
subtotal = subtotal + 1;
}
index++;
}
double accuracy = subtotal / answers.Count();
Console.WriteLine("Predicted accuracy using model:{0} is, {1}", ModelFname, Math.Round(accuracy * 100, 2));
}
//Calcuates the each user transaction
private void CalculateButton_Click(object sender, EventArgs e)
{ //variables to be used in calculating each user inputs
int TotalAdults, TotalStud, TotalChild; decimal Totalsum;
//Try and catch have been declared for each numerical inputs
try
{
TotalAdults = int.Parse(NumAdults.Text); //Checks that adult tickets
//are numerical
try
{
TotalStud = int.Parse(NumStud.Text); //checks tickets entered
//for students are
//numerical
try
{
TotalChild = int.Parse(NumChild.Text); //checks that the
//child ticket
//inputs are also numerical
/* if the inputs for adults, student and
* children are numerical, it proceeds to perform
* the calculations
*/
//Calculates the sum of the tickets
Totalsum = TotalAdults + TotalStud + TotalChild;
ListAmount.Add(Totalsum);//
TotalTicketSoldOutput.Text = Totalsum.ToString();
CashierSummary.Visible = true;
decimal AmountAdults, AmountStud, Amountchild;
decimal Rawdata;
//this multiplies the data
AmountAdults = TotalAdults * (decimal)ADULT;
AmountStud = TotalStud * (decimal)STUDENT;
Amountchild = TotalChild * (decimal)CHILDREN;
Rawdata = AmountAdults + AmountStud + Amountchild;
Listreceipts.Add(Rawdata);
TotalReciptsOutput.Text = Rawdata.ToString("C");
//this calculates the average
decimal AvgPricePaid;
AvgPricePaid = Rawdata / Totalsum;
AvgPricePaidOutput.Text = AvgPricePaid.ToString("C");
}
catch { NumChild.ForeColor = System.Drawing.Color.Red;
MessageBox.Show("CHILD TICKETS\n\n" +
"Only Numerical Input accepted\n Please change the " +
"input in RED to a number"); }
}
catch { NumStud.ForeColor = System.Drawing.Color.Red;
MessageBox.Show("STUDENT TICKETS\n\n" +
"Only Numerical Input accepted\n Please change the " +
"input in RED to a number"); }
}
catch { NumAdults.ForeColor = System.Drawing.Color.Red;
MessageBox.Show("ADULT TICKETS\n\n" +
"Only Numerical Input accepted\n Please change the " +
"input in RED to a number"); }
SummaryButton.Enabled = true; //enables summary button
CashierNameOutput.Text = UserNameInputBox.Text; // receive user inputs
CashierNames.Add(CashierNameOutput.Text); //appends the cashier names
//to the list
CalculateButton.Enabled = false;
ClearButton.Enabled = true;
}
public Form3(int port, string ip, Image localpic, string localnick, int rounds)
{
win = false;
lose = false;
Turn = false;
firstTurn = false;
score = 0;
enemyScore = 0;
game = true;
this.rounds = rounds;
localNickName = localnick;
localImage = localpic;
ConnectionResult connectionResult = ConnectionResult.TCPConnectionNotAlive;
connection = ConnectionFactory.CreateTcpConnection(ip, port, out connectionResult);
if (connectionResult == ConnectionResult.Connected)
{
MessageBox.Show("Connected", "connected");
}
InitializeComponent();
pictureBox2.Image = localImage;
pictureBox1.SizeMode = PictureBoxSizeMode.StretchImage;
pictureBox2.SizeMode = PictureBoxSizeMode.StretchImage;
label1.Text = localnick;
connection.SendRawData("Image", ImageConvert.image2Bytes(localImage));
connection.SendRawData("Nick", Encoding.UTF8.GetBytes(localNickName));
connection.RegisterRawDataHandler("image", (RawData, con) =>
{
enemyImage = ImageConvert.bytes2Image(RawData.Data);
pictureBox1.Image = enemyImage;
});
connection.RegisterRawDataHandler("nick", (RawData, con) =>
{
EnemyNickName = Encoding.UTF8.GetString(RawData.Data);
label2.Text = EnemyNickName;
});
connection.RegisterRawDataHandler("ready", (RawData, con) =>
{
enemyReady = RawData.ToBoolean();
label2.ForeColor = Color.Green;
});
connection.RegisterRawDataHandler("Turn", (RawData, con) =>
{
Turn = RawData.ToBoolean();
});
connection.RegisterRawDataHandler("firstTurn", (Rawdata, con) =>
{
firstTurn = Rawdata.ToBoolean();
Turn = true;
});
connection.RegisterRawDataHandler("MapUpdate", (RawData, con) =>
{
char[] newmap = RawData.ToUTF8String().ToArray();
for (int i = 0; i < 9; i++)
{
map[i] = int.Parse(newmap[i].ToString());
}
for (int i = 0; i < 9; i++)
{
if (map[i] == 1)
{
panel1.Controls[i].BackgroundImage = Properties.Resources.Cross;
}
else if (map[i] == 2)
{
panel1.Controls[i].BackgroundImage = Properties.Resources.Circle;
}
}
});
connection.RegisterRawDataHandler("win", (RawData, Con) =>
{
score += 1;
label3.Text = score.ToString();
ClearMap();
});
connection.RegisterRawDataHandler("lose", (RawData, Con) =>
{
enemyScore += 1;
label4.Text = enemyScore.ToString();
ClearMap();
});
label1.ForeColor = Color.Red;
label2.ForeColor = Color.Red;
}
