/// <summary>
/// Ctor for linear regression model
/// </summary>
public RegressionModelEquation(string modelName, double[] coefficients, double rmse, double minX, double maxX, double minY, double maxY, string nameX, string nameY, bool normalizeValues)
{
IsLinearRegression = true;
Name = modelName;
CreationDate = DateTime.Now;
NormalizeValues = normalizeValues;
_outputParameter = new ModelParameter
{
Id = XMLWork.FindIDWithName(nameY, Properties.Settings.Default.Languages),
Coefficient = 1,
LowerBound = minY,
UpperBound = maxY
};
_RMSE = rmse;
_inputParameters = new List <ModelParameter>
{
new ModelParameter
{
Id = null,
Coefficient = coefficients[0],
LowerBound = null,
UpperBound = null
},
new ModelParameter
{
Id = XMLWork.FindIDWithName(nameX, Properties.Settings.Default.Languages),
Coefficient = coefficients[1],
LowerBound = minX,
UpperBound = maxX
}
};
}
/// <summary>
/// Ctor for multiple regression model
/// </summary>
public RegressionModelEquation(string modelName, string outputParamName, List <string> inputParamNames, double rmse, double[] equationCoefficients,
string[] equationParametersNames, double[] equationParametersLowerBounds, double[] equationParametersUpperBounds, bool normalizeValues)
{
IsLinearRegression = false;
Name = modelName;
CreationDate = DateTime.Now;
NormalizeValues = normalizeValues;
_outputParameter = new ModelParameter
{
Id = XMLWork.FindIDWithName(outputParamName, Properties.Settings.Default.Languages),
Coefficient = 1,
LowerBound = null,
UpperBound = null
};
_RMSE = rmse;
_inputParameters = new List <ModelParameter>
{
new ModelParameter
{
Id = null,
Coefficient = equationCoefficients[0],
LowerBound = null,
UpperBound = null
}
};
for (int i = 1; i < equationCoefficients.Length; i++)
{
_inputParameters.Add(new ModelParameter
{
Id = XMLWork.FindIDWithName(equationParametersNames[i - 1], Properties.Settings.Default.Languages),
Coefficient = equationCoefficients[i],
LowerBound = equationParametersLowerBounds[i - 1],
UpperBound = equationParametersUpperBounds[i - 1]
});
}
}
