./libFM -task r -top_k 10 -iter 5 -out y_pred.txt -method bpr -train train.libsvm -test test.libsvm -dim '1,1,8' -relation feature_t,label_t
Loading train... has x = 1has xt = 0num_rows=0 num_values=0 num_features=0 min_target=3.40282e+38 max_target=-3.40282e+38Loading test... has x = 1has xt = 0num_rows=0 num_values=0 num_features=0 min_target=3.40282e+38 max_target=-3.40282e+38#relations: 2has x = 1has xt = 0data... num_cases=110001 num_values=55017091 num_features=13269has x = 1has xt = 0data... " at character 0rse line "0