Description Usage Arguments Value
Get cross-validated risk of entire procedure (i.e., outer-most cross-validation layer)
1 2 | get_risk(Y, V, all_fit_tasks, all_fits, all_weight, folds, all_sl,
sl_control, y_weight_control, learners)
|
Y |
A matrix or data.frame of outcomes |
V |
Number of outer folds of cross-validation (nested cross-validation uses V-1 and V-2 folds), so must be at least four. |
all_fit_tasks |
A list of all learner fitting tasks (quicker to search over
than |
all_fits |
A list of all learner fits (from |
all_weight |
A list of all outcome weights (from |
folds |
Vector identifying which fold observations fall into. |
all_sl |
A list of all super learner fits (from |
sl_control |
A list with named entries ensemble.fn, optim_risk_fn, weight_fn,
cv_risk_fn, family. Available functions can be viewed with |
y_weight_control |
A list with named entries ensemble.fn, optim_risk_fn, weight_fn,
cv_risk_fn. Available functions can be viewed with |
learners |
Super learner wrappers. See |
Numeric risk value
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.