我在movielens数据上训练了等级40的模型，但是无法使用gd_mf_weights从训练后的模型中检索权重。我正在使用Build a navigation app for Android中的语法，但这给了我错误。请告知。
模型培训电话：
vw --rank 40 -q ui --l2 0.1 --learning_rate 0.015 --decay_learning_rate 0.97 --power_t 0 --passes 50 --cache_file movielens.cache -f movielens.reg -d train.vw
权重生成调用：
library/gd_mf_weights -I train.vw -O '/data/home/mlteam/notebooks/Recommenders-master/notebooks/Outputs/movielens' --vwparams '-q ui --rank 40 -i movielens.reg'
错误：
WARNING: model file has set of {-q, --cubic, --interactions} settings stored, but they'll be OVERRIDEN by set of {-q, --cubic, --interactions} settings from command line.
creating quadratic features for pairs: ui
finished run
number of examples = 0
weighted example sum = 0
weighted label sum = 0
average loss = -nan
total feature number = 0
terminate called after throwing an instance of 'boost::exception_detail::clone_impl<boost::exception_detail::error_info_injectorboost::program_options::multiple_occurrences >'
what(): option '--rank' cannot be specified more than once
Aborted (core dumped)
如果我只运行它而不指定等级和交互变量，则它不会返回相同的训练模型，因为显示的参数与以前不同。
library/gd_mf_weights -I train.vw -O '/data/home/mlteam/notebooks/Recommenders-master/notebooks/Outputs/movielens' --vwparams '-i movielens.reg'
creating quadratic features for pairs: ui
Num weight bits = 18
learning rate = 10
initial_t = 1
power_t = 0.5
using no cache
Reading datafile =
num sources = 0
Segmentation fault (core dumped)
如果我使用整个模型训练参数集运行权重生成，它只会忽略我的额外参数（并且完成速度比50次传递要快得多），并且会从随机发起的等级40模型返回相同的权重。
library/gd_mf_weights -I train.vw -0 '/data/home/mlteam/notebooks/Recommenders-master/notebooks/Outputs/movielens' --vwparams '--rank 40 -q ui --l2 0.1 --learning_rate 0.015 --decay_learning_rate 0.97 --power_t 0 --passes 50 --cache_file movielens.cache -f movielens.reg -d train.vw'