xgb.cb.reset.parameters: Callback for resetting booster parameters at each iteration

In xgboost: Extreme Gradient Boosting

Callback for resetting booster parameters at each iteration

Description

Callback for resetting booster parameters at each iteration

Usage

xgb.cb.reset.parameters(new_params)

Arguments

new_params

List of parameters needed to be reset. Each element's value must be either a vector of values of length nrounds to be set at each iteration, or a function of two parameters learning_rates(iteration, nrounds) which returns a new parameter value by using the current iteration number and the total number of boosting rounds.

Details

Note that when training is resumed from some previous model, and a function is used to reset a parameter value, the nrounds argument in this function would be the the number of boosting rounds in the current training.

Does not leave any attribute in the booster.

Value

An xgb.Callback object, which can be passed to xgb.train() or xgb.cv().

xgboost documentation built on Dec. 3, 2025, 5:06 p.m.