I have a question regarding to the "Encog 3.3: Quick Start Guide". In the "Using Encog for Classification" example of this Guide, you define the best method using the statement:
var bestMethod = (IMLRegression) model.Crossvalidate(5, true);
why IMLRegression is used here? should we need to use IMLClassification instead (because this is a classification problem)?
Another question: when performing cross-validation, is it possible to extract the epoch vs error (or loss) result -- i.e., retrieve the intermediate results within each iteration?
Thank you, Jeff, for your great work.
I have a question regarding to the "Encog 3.3: Quick Start Guide". In the "Using Encog for Classification" example of this Guide, you define the best method using the statement: var bestMethod = (IMLRegression) model.Crossvalidate(5, true);
why IMLRegression is used here? should we need to use IMLClassification instead (because this is a classification problem)?
Another question: when performing cross-validation, is it possible to extract the epoch vs error (or loss) result -- i.e., retrieve the intermediate results within each iteration?
Thanks. Jack