Ejemplo n.º 1
0
        public void test_FindBestModel_Throws_MathError()
        {
            /*Incorrect matrix throws MathError in ModelFit.GetCoefficients.*/
            Variable list = new Variable("list", new List <double>()
            {
                1, 1, 1, 1, 1
            });

            Variable list2 = new Variable("list2", new List <double>()
            {
                1, 1, 1, 1, 1
            });
            Variable list3 = new Variable("list3", new List <double>()
            {
                1, 1, 1, 1, 1
            });
            Variable list4 = new Variable("list4", new List <double>()
            {
                1, 1, 1, 1, 1
            });
            List <Variable> x = new List <Variable>()
            {
                list2, list3, list4
            };
            Fitness fitness   = new AdjustedR2();
            Model   testModel = new Model(list, x);

            BackwardElimination be = new BackwardElimination();

            Assert.Throws <MathError>(() => be.FindBestModel(testModel, fitness));
        }
Ejemplo n.º 2
0
        public void test_FindBestModel_throws_MathError()
        {
            /*Different sized lists should throw MathError.*/
            Variable list = new Variable("list", new List <double>()
            {
                2.2, 3.5, 3, 14, 8, 2
            });

            Variable list2 = new Variable("list2", new List <double>()
            {
                3, 15.2, 1.1, 2, 2
            });
            Variable list3 = new Variable("list3", new List <double>()
            {
                1, 2, 3, 4, 5, 2.2
            });
            Variable list4 = new Variable("list4", new List <double>()
            {
                1, 1.1, 1.4, 1.3, 1.5, 1.2
            });
            List <Variable> x = new List <Variable>()
            {
                list2, list3, list4
            };
            Fitness fitness   = new AdjustedR2();
            Model   testModel = new Model(list, x);

            BackwardElimination be = new BackwardElimination();

            Assert.Throws <MathError>(() => be.FindBestModel(testModel, fitness));
        }
Ejemplo n.º 3
0
        public void test_FindBestModel_correctResult()
        {
            Variable list = new Variable("list", new List <double>()
            {
                2.2, 3.5, 3, 14, 8, 2
            });

            Variable list2 = new Variable("list2", new List <double>()
            {
                3, 15.2, 1.1, 2, 3, 2
            });
            Variable list3 = new Variable("list3", new List <double>()
            {
                1, 2, 3, 4, 5, 2.2
            });
            Variable list4 = new Variable("list4", new List <double>()
            {
                1, 1.1, 1.4, 1.3, 1.5, 1.2
            });
            List <Variable> x = new List <Variable>()
            {
                list2, list3, list4
            };
            Fitness fitness   = new AdjustedR2();
            Model   testModel = new Model(list, x);

            BackwardElimination be = new BackwardElimination();
            Model bestModel        = be.FindBestModel(testModel, fitness);

            Assert.AreEqual(2, bestModel.getXVars().Count);
            Assert.That(bestModel.getXVars().Any(v => v.name == "list3"));
            Assert.That(bestModel.getXVars().Any(v => v.name == "list4"));
        }
Ejemplo n.º 4
0
        private static void DoBackwardElimination()
        {
            Model model, results;

            if (filepath == null)
            {
                Write.Error("No file read in");
                return;
            }

            if (responseVariable == null)
            {
                Write.Error("No response variable selected");
                return;
            }

            model = CSV.ToModel(filepath, responseVariable);
            BackwardElimination be = new BackwardElimination();

            try
            {
                results = be.FindBestModel(model, fitness);
                Write.Model(results);
                return;
            }
            catch (MathError)
            {
                Write.Error("Matrix constructed from csv-file was of incorrect type");
                return;
            }
        }
Ejemplo n.º 5
0
        public void test_FindBestModel_Performance_100000obs_6_variables()
        {
            /*Test is done with a file containing 100 000 observations with 6 variables. */
            Directory.SetCurrentDirectory(Path.Combine(TestContext.CurrentContext.TestDirectory, @"..\..\"));

            Model   m       = CSV.ToModel(@"test_files\performance_test.csv", "ord.num");
            Fitness fitness = new AdjustedR2();

            BackwardElimination be = new BackwardElimination();
            Stopwatch           sw = new Stopwatch();

            sw.Start();
            be.FindBestModel(m, fitness);
            sw.Stop();
            Console.WriteLine("took + " + sw.ElapsedMilliseconds + " milliseconds");
            Assert.LessOrEqual(sw.ElapsedMilliseconds, 10000);
        }