public MultivariateLinearRegressionBenchmarkModel(List <ProcessedSurveyRecordModel> models)
{
var inputs = new double[models.Count][];
var outputs = new double[models.Count];
for (var i = 0; i < models.Count; i++)
{
var currentModel = models[i];
var currentInputs = new List <double>();
outputs[i] = (double)currentModel.Salary;
currentInputs.Add((double)currentModel.YearsCoding);
currentInputs.Add((double)currentModel.YearsProfessionalCoding);
currentInputs.Add(Convert.ToDouble(currentModel.HasAdditionalEducation));
inputs[i] = currentInputs.ToArray();
}
var regressionModel = new OrdinaryLeastSquares().Learn(inputs, outputs);
var predictions = regressionModel.Transform(inputs);
var squareLoss = new SquareLoss(outputs)
{
Mean = true
};
Error = new SquareLoss(outputs).Loss(predictions);
}