Predict method for class
Object of class
An object of class FBM.
An optional vector of the row indices that are used. If not specified, all rows are used. Don't use negative indices.
An optional vector of the column indices that are used. If not specified, all columns are used. Don't use negative indices.
Matrix of covariables to be added in each model to correct
for confounders (e.g. the scores of PCA), corresponding to
NULL and corresponds to only adding an intercept to each model.
You can use
covar_from_df() to convert from a data frame.
Whether to return probabilities?
Vector of base predictions, corresponding to
Number of cores used. Default doesn't use parallelism. You may use nb_cores.
A vector of scores, corresponding to