I have successfully trained the EMBER 2018 dataset (feature version 2) using the train_ember.py script, and managed to plot the charts/results using the jupyter notebook.
However, when attempting to run python train_ember.py [/path/to/dataset] command for the EMBER 2017 feature version 2 dataset, I get the following warning:
[LightGBM] [Warning] Contains only one class
[LightGBM] [Info] Number of positive: 0, number of negative: 900000
[LightGBM] [Info] Total Bins 95616
[LightGBM] [Info] Number of data: 900000, number of used features: 1822
[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.000000 -> initscore=-34.538776
[LightGBM] [Info] Start training from score -34.538776
[LightGBM] [Info] [binary:BoostFromScore]: pavg=0.000000 -> initscore=-34.538776
[LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements
I have successfully trained the EMBER 2018 dataset (feature version 2) using the train_ember.py script, and managed to plot the charts/results using the jupyter notebook.
However, when attempting to run
python train_ember.py [/path/to/dataset]command for the EMBER 2017 feature version 2 dataset, I get the following warning:Any idea what went wrong?