Closed dashaub closed 7 years ago
It appears passing param arguments to xgboost() and xgb.train() don't have any impact. For example,
param
xgboost()
xgb.train()
> library(forecastxgb) > set.seed(3) > a <- xgbts(AirPassengers, params = list(eta = .0001)) Stopping. Best iteration: 64 > > set.seed(3) > a <- xgbts(AirPassengers) Stopping. Best iteration: 64
Any ideas what's going on here?
the ... were going through to xgboost for the final model fitting, but not to the cross-validation stage. It should be fixed now.
It appears passing
param
arguments toxgboost()
andxgb.train()
don't have any impact. For example,Any ideas what's going on here?