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]
}