gbmt_performance: Get performance details for gbm fit
In gbm-developers/gbm3: Generalized Boosted Regression Models

gbmt_performance

R Documentation

Get performance details for gbm fit

Description

gbmt_performance estimates the optimal number of boosting iterations from a model fit by gbmt. The precise method used depends on the method parameter.

Usage

gbmt_performance(gbm_fit_obj, method)

Arguments

`gbm_fit_obj`	a `GBMFit` created from an initial call to `gbmt`.
`method`	indicate the method used to estimate the optimal number of boosting iterations. `method="OOB"` computes the out-of-bag estimate and `method="test"` uses the test (or validation) dataset to compute an out-of-sample estimate. `method="cv"` extracts the optimal number of iterations using cross-validation if `gbmt` was called with `cv_folds`>1.