honest_fitted_cpp {ocf} | R Documentation |
Honest In-Sample Predictions
Description
Computes honest in-sample predictions for a ocf.forest object relative to the desired class.
Usage
honest_fitted_cpp(
unique_leaves_honest,
y_m,
y_m_1,
honest_leaves,
train_leaves
)
Arguments
unique_leaves_honest |
List of size n.trees , storing the unique leaf ids of each tree relative to the honest sample.
|
y_m |
Indicator variable, equal to 1 if the y is lower or equal than the m-th class and zero otherwise.
|
y_m_1 |
Indicator variable, equal to 1 if the y is lower or equal than the (m-1)-th class and zero otherwise.
|
honest_leaves |
Matrix of size (n.samples x n.trees ). The i-th row stores the id of the leaf where the i-th honest observation falls in each tree.
|
train_leaves |
Matrix of size (n.samples x n.trees ). The i-th row stores the id of the leaf where the i-th training observation falls in each tree.
|
[Package
ocf version 1.0.0
Index]