/// <summary>
/// Creates a GeneralizedLinearRegression from a <see cref="LogisticRegression"/> object.
/// </summary>
///
/// <param name="regression">A <see cref="LogisticRegression"/> object.</param>
/// <param name="makeCopy">True to make a copy of the logistic regression values, false
/// to use the actual values. If the actual values are used, changes done on one model
/// will be reflected on the other model.</param>
///
/// <returns>A new <see cref="GeneralizedLinearRegression"/> which is a copy of the
/// given <see cref="LogisticRegression"/>.</returns>
///
public static GeneralizedLinearRegression FromLogisticRegression(
LogisticRegression regression, bool makeCopy)
{
if (makeCopy)
{
double[] coefficients = (double[])regression.Coefficients.Clone();
double[] standardErrors = (double[])regression.StandardErrors.Clone();
return(new GeneralizedLinearRegression(new LogitLinkFunction(),
coefficients, standardErrors));
}
else
{
return(new GeneralizedLinearRegression(new LogitLinkFunction(),
regression.Coefficients, regression.StandardErrors));
}
}
