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能不能把打印logo和日志加一个开关啊？还要改源码。。。。

发现和windows上的版本不一样，指定版本号下载显示找不到对应版本
求解

请教下：ffm模型的sklearn API - FFMModel 如何使用呢

选择FM模型，读入的是.csv / .txt文件，训练结果 Train log_loss 全为nan。求助，谢谢

import xlearn as xl

fm_model = xl.create_fm() # Use field-aware factorization machine
fm_model.setTrain("D:\software\git\tensorflow-DeepFM\example\data\train.csv") # Training data

param = {'task':'binary', 'lr':0.2, 'lambda':0.002, 'metric':'acc'}

fm_model.fit(param, 'D:\software\git\tensorflow-DeepFM\example\data\out\model.out')

fm_model.setTest("D:\software\git\tensorflow-DeepFM\example\data\test.csv") # Test data
fm_model.setSigmoid() # Convert output to 0-1

fm_model.predict("D:\software\git\tensorflow-DeepFM\example\data\out\model.out", "D:\software\git\tensorflow-DeepFM\example\data\out\output.txt")

结果：
Epoch Train log_loss Time cost (sec)
[ 10% ] 1 nan 0.29
[ 20% ] 2 nan 0.20
[ 30% ] 3 nan 0.20
[ 40% ] 4 nan 0.20
[ 50% ] 5 nan 0.20
[ 60% ] 6 nan 0.20
[ 70% ] 7 nan 0.20
[ 80% ] 8 nan 0.20
[ 90% ] 9 nan 0.20
[ 100% ] 10 nan 0.20

我在本地 windows /linux 系统上都安装了 xlearn ， 都能进跑。
在公司服务器上安装了xlearn, 能够使用其加载数据等，
但是一旦训练，fit, 服务器就挂了。

过程：使用Visual Studio 2017编译以后，然后再python-package打开命令行，输入python setup.py install
结果：Traceback (most recent call last):
File "setup.py", line 29, in
LIB_PATH = os.path.relpath(libfile, CURRENT_DIR) for libfile in lib
nd_lib_path']
File "xlearn/libpath.py", line 63, in find_lib_path
'Cannot find xlearn Library in the candidate path'
XLearnLibraryNotFound: Cannot find xlearn Library in the candidate path

请问该如何解决呢？