Analysis.LDA.MainForm.btnCompute_Click C# (CSharp) Method

        private void btnCompute_Click(object sender, EventArgs e)
        {
            // Save any pending changes 
            dgvAnalysisSource.EndEdit();

            if (dgvAnalysisSource.DataSource == null)
            {
                MessageBox.Show("Please load some data using File > Open!");
                return;
            }

            // Create a matrix from the source data table
            double[][] sourceMatrix = (dgvAnalysisSource.DataSource as DataTable).ToArray(out columnNames);

            // Create and compute a new Simple Descriptive Analysis
            sda = new DescriptiveAnalysis(columnNames);

            sda.Learn(sourceMatrix);

            // Show the descriptive analysis on the screen
            dgvDistributionMeasures.DataSource = sda.Measures;


            // Get the input values (the two first columns)
            double[][] inputs = sourceMatrix.GetColumns(0, 1);

            // Get only the associated labels (last column)
            int[] outputs = sourceMatrix.GetColumn(2).ToInt32();
            outputs = outputs.Subtract(outputs.Min()); // start at 0

            // Create a Linear Discriminant Analysis for the data 
            lda = new LinearDiscriminantAnalysis()
            {
                NumberOfOutputs = 2
            };

            // Compute the analysis!
            lda.Learn(inputs, outputs); 


            // Perform the transformation of the data
            double[][] result = lda.Transform(inputs);

            // Create a new plot with the original Z column
            double[][] points = result.InsertColumn(sourceMatrix.GetColumn(2));

            // Create output scatter plot
            outputScatterplot.DataSource = points;

            // Create the output table
            dgvProjectionResult.DataSource = new ArrayDataView(points, columnNames);

            // Populate discriminants overview with analysis data
            dgvFeatureVectors.DataSource = new ArrayDataView(lda.DiscriminantVectors);
            dgvScatterBetween.DataSource = new ArrayDataView(lda.ScatterBetweenClass);
            dgvScatterWithin.DataSource = new ArrayDataView(lda.ScatterWithinClass);
            dgvScatterTotal.DataSource = new ArrayDataView(lda.ScatterMatrix);
            dgvPrincipalComponents.DataSource = lda.Discriminants;
            distributionView.DataSource = lda.Discriminants;
            cumulativeView.DataSource = lda.Discriminants;

            // Populate classes information
            dgvClasses.DataSource = lda.Classes;

            lbStatus.Text = "Good! Feel free to browse the other tabs to see what has been found.";
        }