Configurations for generation and new domain for generation ecore model

1 files changed, 0 insertions, 31 deletions

diff --git a/Metrics/Metrics-Calculation/ca.mcgill.ecse.dslreasoner.realistic.metrics.calculator/src/ca/mcgill/ecse/dslreasoner/realistic/metrics/calculator/app/Test.java b/Metrics/Metrics-Calculation/ca.mcgill.ecse.dslreasoner.realistic.metrics.calculator/src/ca/mcgill/ecse/dslreasoner/realistic/metrics/calculator/app/Test.java
deleted file mode 100644
index f06b377f..00000000
--- a/Metrics/Metrics-Calculation/ca.mcgill.ecse.dslreasoner.realistic.metrics.calculator/src/ca/mcgill/ecse/dslreasoner/realistic/metrics/calculator/app/Test.java
+++ /dev/null
@@ -1,31 +0,0 @@
-package ca.mcgill.ecse.dslreasoner.realistic.metrics.calculator.app;
-
-import java.util.ArrayList;
-import java.util.List;
-
-import weka.core.matrix.LinearRegression;
-import weka.core.matrix.Matrix;
-
-public class Test {
-        public static void main(String[] args) {
-                linearRegressionTest();
-        }
-        
-        public static void linearRegressionTest() {
-                double[][] x = {{1,1,2,3}, {1,2,3,4}, {1,3,5,7}, {1,1,5,7}}; 
-                double[] y = {10, 13, 19, 17};
-                double[] valueToPredict = {1,1,1,1}; 
-                Matrix m = new Matrix(x);
-                Matrix n = new Matrix(y, y.length);
-                
-                LinearRegression regression = new LinearRegression(m, n, 0);
-                double[] coef = regression.getCoefficients();
-        
-                //predict
-                double a = 0;
-                for(int i = 0; i < coef.length; i++) {
-                        a += coef[i] * valueToPredict[i];
-                }
-                System.out.println(a);
-        }
-}