Add CV fitted values to output object

[GoogleCodeExporter]

What steps will reproduce the problem?
1. Print a model fit to a classification problem: dist='multinomial', 
'bernoulli', 'huberized'.

The confusion matrix is obtained using the optimal number of trees as decided 
by cross-validation or whatever method was selected. However, think about the 
cross-validation deviance and training set deviance plotted by gbm.perf. The 
confusion matrix is for predictions from a grossly overfit model, even though 
it uses the number of trees selected by cross-validation.

Need to either just get rid of the confusion matrix calculations, or get the 
cross-validation predictions somewhere within the cross-validation loop.

Original issue reported on code.google.com by harry.southworth on 9 Jan 2013 at 10:07

[GoogleCodeExporter]

Confusion matrices removed from print function.

I intend to take a look at whether they can be computed in the x-val loop once 
version 2 gets to CRAN.

Original comment by harry.southworth on 17 Jan 2013 at 4:49

[GoogleCodeExporter]

Add cv predictions to output object. This would enable computation of cv 
residuals, cv classification accuracy and confusion matrices.

Original comment by harry.southworth on 29 Jan 2013 at 11:12

• Changed title: Add CV fitted values to output object

[GoogleCodeExporter]

Done as of 2.0-9.8
Thanks go to Paul Metcalfe.

Original comment by harry.southworth on 12 Apr 2013 at 12:55

• Changed state: Fixed