resource/model_param/5PL_v1.py (5 lines of code) (raw):

model_type = "5PL" model_param_dict = { # ==== preprocess: normalize each feature ==== # # 'norm_type':'none', 'norm_type': 'clip_0to1', # rescale to within [0, 1] # ==== postprocess: clip final quality score ==== # 'score_clip':[0.0, 100.0], # clip to within [0, 100] }