predict.GBMCVFit: Predictions for CV fitted GBM models

In gbm-developers/gbm3: Generalized Boosted Regression Models

Predictions for CV fitted GBM models

Description

Calculate predictions from cross validated generalized boosting model from gbm2.

Usage

## S3 method for class 'GBMCVFit'
predict(object, gbm_data_obj, cv_folds, cv_group, best_iter_cv, ...)

Arguments

object	a GBMCVFit object containing CV gbm models
gbm_data_obj	a GBMData object containing all of the data used to fit a gbm model.
cv_folds	a positive integer specifying the number of folds to be used in cross-validation of the gbm fit.
cv_group	vector of integers specifying which row of data belongs to which cv_fold.
best_iter_cv	number of trees with the smallest cv error
...	not currently used

Value

a matrix of predictions for each cv fold.

Author(s)

James Hickey

gbm-developers/gbm3 documentation built on April 28, 2024, 10:04 p.m.