call _load_data in generate_actmax.py

scripts/generate_actmax.py

@@ -32,6 +32,7 @@ input_project = args.input_project
 output_file = args.output_file
 
 c = load_from_dir(input_project)
+c._load_data()
 
 ranges, mask_probs = get_ranges(c.transform(c.x_train), [0.01, 0.99], c.w_train_tot, mask_value=c.mask_value, max_evts=10000)