segmentation fault python3 我抽了(1000,20)的数据报错

[kyle-pjk]

>>> def main():
    import xlearn as xl
    ffm_model = xl.create_fm()                # Use field-aware factorization machine (ffm)
    ffm_model.setTrain("1.tiny_train.csv")    # Set the path of training data
    ffm_model.setValidate("1.tiny_train.csv")
    param = {'task':'binary', 'lr':0.5, 'lambda':0.002, 'nthread':3, 'epoch':100, 'metric':'auc'}
    ffm_model.fit(param, "./model.out")
...
>>> main()
----------------------------------------------------------------------------------------------
           _
          | |
     __  _| |     ___  __ _ _ __ _ __
     \ \/ / |    / _ \/ _` | '__| '_ \
      >  <| |___|  __/ (_| | |  | | | |
     /_/\_\_____/\___|\__,_|_|  |_| |_|

        xLearn   -- 0.40 Version --
----------------------------------------------------------------------------------------------

[------------] xLearn uses 3 threads for training task.
[ ACTION     ] Read Problem ...
[------------] First check if the text file has been already converted to binary format.
[------------] Binary file (1.tiny_train.csv.bin) NOT found. Convert text file to binary file.
[1]    8177 segmentation fault  python3

我已经全部转为0 1 特征了，一直报错，哪位大佬有空帮忙看看. PS:我用另一个(15000,12)的就可以跑，太玄学了。。。

1.tiny_train.csv

[kyle-pjk]

版本问题