public CorrelationResponse Post([FromBody] CorrelationRequestAnalytic request) { CorrelationResponse result = new CorrelationResponse(); var watch = Stopwatch.StartNew(); try { var correlationCalculator = CorrelationCalculator.Create(request.Type); var scriptCompilator = new ScriptCompiler(); var function1 = Function.Create(scriptCompilator.GetFunc(request.Function1), request.LeftBorder, request.RightBorder, request.PointsCount); var function2 = Function.Create(scriptCompilator.GetFunc(request.Function2), request.LeftBorder, request.RightBorder, request.PointsCount); result.Value = correlationCalculator.GetCorrelation(function1, function2); } catch (Exception e) { result.Error = e.Message; } finally { watch.Stop(); result.ExecutionTime = watch.ElapsedMilliseconds; } return(result); }
public void TestLienNorminalBorneInferieure() { const string lienNorminalTest = " très forte à parfaite"; string lienNorminal = CorrelationCalculator.getNorminalLink(0.888); Assert.Equal(lienNorminal, lienNorminalTest); }
public void AutoCorrelationKendall() { Function function = Function.Create(x => 2 * x, 0, 10, 100); CorrelationCalculator correlationCalculator = CorrelationCalculator.Create(CorrelationType.Kendall); double corr = correlationCalculator.GetCorrelation(function, function); Assert.Equal(corr, 1); }
public void TestLienNorminalBorneInvalide() { const string lienNorminalTest = "nulle"; string lienNorminal = CorrelationCalculator.getNorminalLink(2); Assert.Equal(lienNorminal, lienNorminalTest); }
public void TestLienNorminalBorneSuperieure() { const string lienNorminalTest = " moyenne à forte"; string lienNorminal = CorrelationCalculator.getNorminalLink(0.5); Assert.Equal(lienNorminal, lienNorminalTest); }
public void TestPlusOneCorrelation() { CorrelationCalculator calc = new CorrelationCalculator(); calc.AddData(this.GetMaleStudent(), this.GetUnsatisfactoryMark()); calc.AddData(this.GetFemaleStudent(), this.GetExcellentMark()); Assert.AreEqual(+1.0d, (double)calc.ComputeCorrelation()); }
public void TestNumerateurCorrelationInvalide() { double sommeX = double.NaN; double sommeY = double.NaN; double sommeXY = double.NaN; int nbrPairDonnees = 2; double numerateur = CorrelationCalculator.calculNumerateurCorrelation(sommeX, sommeY, sommeXY, nbrPairDonnees); Assert.Equal(double.NaN, numerateur); }
public void TestNumerateurCorrelationSuperieure() { const double numerateurTest = 401.44; double sommeX = 10; double sommeY = 20; double sommeXY = 200.48; int nbrPairDonnees = 3; double numerateur = CorrelationCalculator.calculNumerateurCorrelation(sommeX, sommeY, sommeXY, nbrPairDonnees); Assert.Equal(Math.Round(numerateur, 2), numerateurTest); }
public void TestNumerateurCorrelationInferieure() { const double numerateurTest = 200; double sommeX = 10; double sommeY = 20; double sommeXY = 200; int nbrPairDonnees = 2; double numerateur = CorrelationCalculator.calculNumerateurCorrelation(sommeX, sommeY, sommeXY, nbrPairDonnees); Assert.Equal(numerateur, numerateurTest); }
public void TestDenominateurCorrelationInvalide() { double sommeExposantX = double.NaN; double sommePowX = double.NaN; double sommeExposantY = double.NaN; double sommePowY = double.NaN; int nbrPairDonnees = 1; double denominateur = CorrelationCalculator.calculDenominateurCorrelation(sommeExposantX, sommeExposantY, sommePowX, sommePowY, nbrPairDonnees); Assert.Equal(double.NaN, denominateur); }
public void TestDenominateurCorrelationInferieure() { const double denominateurTest = 144; double sommeExposantX = 68; double sommePowX = 100; double sommeExposantY = 34; double sommePowY = 64; int nbrPairDonnees = 2; double denominateur = CorrelationCalculator.calculDenominateurCorrelation(sommeExposantX, sommeExposantY, sommePowX, sommePowY, nbrPairDonnees); Assert.Equal(denominateur, denominateurTest); }
public void TestDenominateurCorrelationSuperieure() { const double denominateurTest = 195.64; double sommeExposantX = 34.83; double sommePowX = 64.3; double sommeExposantY = 68.7; double sommePowY = 100.9; int nbrPairDonnees = 2; double denominateur = CorrelationCalculator.calculDenominateurCorrelation(sommeExposantX, sommeExposantY, sommePowX, sommePowY, nbrPairDonnees); Assert.Equal(denominateur, denominateurTest); }
protected override void OnContentChanged() { base.OnContentChanged(); CorrelationCalculator.TryCancelCalculation(); if (Content != null) { CalculateCorrelation(); } else { progressPanel.Visible = false; dataView.Maximum = 0; dataView.Minimum = 0; dataView.Content = null; dataView.ResetVisibility(); } }
public void Handle() { this.calculator = new CorrelationCalculator(); LoginRequest lr = new LoginRequest("viea16u008", "[password here]"); lr.Perform(); this.client = lr.Client; MainPageRequest mpr = new MainPageRequest(client); mpr.Perform(); EUMainPageRequest eumpr = new EUMainPageRequest(client, mpr.EULink); eumpr.Perform(); this.sessionCache = new SessionCache(this.client, eumpr.SessionLink); EUProgressPageRequest euppr = new EUProgressPageRequest(client, eumpr.ProgressLink); euppr.Perform(); logger.Log("Начинаем..."); var semesters = euppr.SemesterLinks; logger.SetStepsCount(semesters.Count - 1); foreach (var semester in semesters) { if (semester.Year > 2016) { break; } HandleSemester(semester); logger.Step(); } double result = calculator.ComputeCorrelation(); // " (+1 это перекос в сторону отличных оценок у девушек, -1 - у парней) logger.LogCorrelation(result); }
public void TestCorrelationBorneInvalide() { const double correlationTest = 200; List <double> listNumberX = new List <double>(); listNumberX.Add(double.NaN); listNumberX.Add(double.NaN); listNumberX.Add(double.NaN); List <double> listNumberY = new List <double>(); listNumberY.Add(double.NaN); listNumberY.Add(double.NaN); listNumberY.Add(double.NaN); double correlation = CorrelationCalculator.calculCorrelation(listNumberX, listNumberY); Assert.Equal(double.NaN, correlation); }
public void TestCorrelationBorneSuperieure() { const double correlationTest = 1; List <double> listNumberX = new List <double>(); listNumberX.Add(0); listNumberX.Add(0.01); listNumberX.Add(30.5); List <double> listNumberY = new List <double>(); listNumberY.Add(-60); listNumberY.Add(-70.99); listNumberY.Add(90.74); double correlation = CorrelationCalculator.calculCorrelation(listNumberX, listNumberY); Assert.Equal(correlation, correlationTest); }
public void TestCorrelationBorneInferieure() { const double correlationTest = 0.98; List <double> listNumberX = new List <double>(); listNumberX.Add(10); listNumberX.Add(20); listNumberX.Add(30); List <double> listNumberY = new List <double>(); listNumberY.Add(60); listNumberY.Add(70); listNumberY.Add(90); double correlation = CorrelationCalculator.calculCorrelation(listNumberX, listNumberY); Assert.Equal(correlation, correlationTest); }
public CorrelationResponse Post([FromBody] CorrelationRequestNumeric request) { CorrelationResponse result = new CorrelationResponse(); var watch = Stopwatch.StartNew(); try { var correlationCalculator = CorrelationCalculator.Create(request.Type); result.Value = correlationCalculator.GetCorrelation(request.Function1, request.Function2); } catch (Exception e) { result.Error = e.Message; } finally { watch.Stop(); result.ExecutionTime = watch.ElapsedMilliseconds; } return(result); }
public void CorrelationIsFractionOfCodeWordsContainedInRequirements(string[] codeWords, string[] requirementsWords, double expected) { double correlation = new CorrelationCalculator().Calculate(codeWords, requirementsWords); Assert.That(correlation, Is.EqualTo(expected)); }
protected override void OnClosing(FormClosingEventArgs e) { base.OnClosing(e); CorrelationCalculator.TryCancelCalculation(); }