当LightGBM.cv时,如果min_data_in_leaf设置的值比默认值(20)小的时候,就会报错: LightGBMError: Reducing `min_data_in_leaf` with `feature_pre_filter=true` may cause unexpected behaviour for features that were pre-filtered by the larger `min_data_in_leaf`. You need to set `feature_pre_filter...
[LightGBM] [Warning] min_data_in_leaf is set=15, min_child_samples=30 will be ignored. Current value: min_data_in_leaf=15 [LightGBM] [Warning] min_data_in_leaf is set=20, min_child_samples=30 will be ignored. Current value: min_data_in_leaf=20 [LightGBM] [Warning] min_data_in...
you can usemin_sum_hessian_in_leafto replace themin_data_in_leaf, for sample weights. As formin_data_per_group, there is no replacement for now. @guolinkeThanks for the reply. Could you please help me with the following