Right now the model just trains until it has reached the requested iterations, we should consider adding an early_stopping_rounds parameter. Although this get's a little cumbersome because then you need to provide an eval dataset, and additionally, we would need to add a bunch of eval metrics.
Right now the model just trains until it has reached the requested iterations, we should consider adding an
early_stopping_rounds
parameter. Although this get's a little cumbersome because then you need to provide an eval dataset, and additionally, we would need to add a bunch of eval metrics.