RuntimeWarning: Mean of empty slice.

[domycapuano]

RuntimeWarning: invalid value encountered in true_divide

[domycapuano]

/opt/anaconda/envs/myenv/lib/python3.6/site-packages/numpy/core/fromnumeric.py:2957: RuntimeWarning: Mean of empty slice. out=out, **kwargs) /opt/anaconda/envs/myenv/lib/python3.6/site-packages/numpy/core/_methods.py:80: RuntimeWarning: invalid value encountered in true_divide ret = ret.dtype.type(ret / rcount) /opt/anaconda/envs/myenv/lib/python3.6/site-packages/numpy/core/_methods.py:135: RuntimeWarning: Degrees of freedom <= 0 for slice keepdims=keepdims) /opt/anaconda/envs/myenv/lib/python3.6/site-packages/numpy/core/_methods.py:105: RuntimeWarning: invalid value encountered in true_divide arrmean, rcount, out=arrmean, casting='unsafe', subok=False) /opt/anaconda/envs/myenv/lib/python3.6/site-packages/numpy/core/_methods.py:127: RuntimeWarning: invalid value encountered in true_divide ret = ret.dtype.type(ret / rcount) /opt/anaconda/envs/myenv/lib/python3.6/site-packages/numpy/core/fromnumeric.py:3194: RuntimeWarning: Degrees of freedom <= 0 for slice **kwargs) EVA = nan RMSE = nan Written file ./model/test_regression.json /opt/anaconda/envs/myenv/lib/python3.6/site-packages/numpy/core/_methods.py:127: RuntimeWarning: invalid value encountered in double_scalars ret = ret.dtype.type(ret / rcount) EVA = nan /opt/anaconda/envs/myenv/lib/python3.6/site-packages/numpy/core/_methods.py:80: RuntimeWarning: invalid value encountered in double_scalars ret = ret.dtype.type(ret / rcount) RMSE = nan Written file ./model/random_regression.json EVA = nan RMSE = nan Written file ./model/constant_regression.json Written file ./model/predicted_and_real_steerings.json Average accuracy = 0.9530456852791879 Precision = 0.8951841359773371 Recall = 0.8951841359773371 F1-score = 0.8951841359773371 Written file ./model/test_classification.json Average accuracy = 0.5196700507614214 Precision = 0.2430025445292621 Recall = 0.2430025445292621 F1-score = 0.3353819139596137 Written file ./model/random_classification.json Written file ./model/predicted_and_real_labels.json

[revenge9301]

I have a same problem,too . did you find a solution for this problem?