honest_predictions_cpp: Honest Out-of-Sample Predictions
In ocf: Ordered Correlation Forest

honest_predictions_cpp

R Documentation

Honest Out-of-Sample Predictions

Computes honest out-of-sample predictions for a ocf.forest object relative to the desired class.

honest_predictions_cpp(
  unique_leaves_honest,
  y_m,
  y_m_1,
  honest_leaves,
  test_leaves
)

`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.
`test_leaves`	Matrix of size (`n.samples` x `n.trees`). The i-th row stores the id of the leaf where the i-th test observation falls in each tree.