public void LinearRegressionModelVariableImpactMibaTest()
{
IRegressionProblemData problemData = LoadDefaultMibaProblem();
double rmsError;
double cvRmsError;
var solution = LinearRegression.CreateSolution(problemData, out rmsError, out cvRmsError);
Dictionary <string, double> expectedImpacts = GetExpectedValuesForLRMiba();
CheckDefaultAsserts(solution, expectedImpacts);
}
public void WrongDataSetVariableImpactRegressionTest()
{
IRegressionProblemData problemData = LoadDefaultTowerProblem();
double rmsError;
double cvRmsError;
var solution = LinearRegression.CreateSolution(problemData, out rmsError, out cvRmsError);
solution.ProblemData = LoadDefaultMibaProblem();
RegressionSolutionVariableImpactsCalculator.CalculateImpacts(solution);
}
public void PerformanceVariableImpactRegressionTest()
{
int rows = 20000;
int columns = 77;
var dataSet = OnlineCalculatorPerformanceTest.CreateRandomDataset(new MersenneTwister(1234), rows, columns);
IRegressionProblemData problemData = new RegressionProblemData(dataSet, dataSet.VariableNames.Except("y".ToEnumerable()), "y");
double rmsError;
double cvRmsError;
var solution = LinearRegression.CreateSolution(problemData, out rmsError, out cvRmsError);
Stopwatch watch = new Stopwatch();
watch.Start();
var results = RegressionSolutionVariableImpactsCalculator.CalculateImpacts(solution);
watch.Stop();
TestContext.WriteLine("");
TestContext.WriteLine("Calculated cells per millisecond: {0}.", rows * columns / watch.ElapsedMilliseconds);
}
