| /root/autodl-tmp/pimamba/code/pimamba/data.py:159: RuntimeWarning: Mean of empty slice |
| m = np.nanmean(col) |
| /root/miniconda3/lib/python3.12/site-packages/numpy/lib/_nanfunctions_impl.py:2015: RuntimeWarning: Degrees of freedom <= 0 for slice. |
| var = nanvar(a, axis=axis, dtype=dtype, out=out, ddof=ddof, |
| /root/autodl-tmp/pimamba/code/pimamba/data.py:159: RuntimeWarning: Mean of empty slice |
| m = np.nanmean(col) |
| /root/miniconda3/lib/python3.12/site-packages/numpy/lib/_nanfunctions_impl.py:2015: RuntimeWarning: Degrees of freedom <= 0 for slice. |
| var = nanvar(a, axis=axis, dtype=dtype, out=out, ddof=ddof, |
| /root/autodl-tmp/pimamba/code/pimamba/data.py:159: RuntimeWarning: Mean of empty slice |
| m = np.nanmean(col) |
| /root/miniconda3/lib/python3.12/site-packages/numpy/lib/_nanfunctions_impl.py:2015: RuntimeWarning: Degrees of freedom <= 0 for slice. |
| var = nanvar(a, axis=axis, dtype=dtype, out=out, ddof=ddof, |
| /root/autodl-tmp/pimamba/code/pimamba/data.py:159: RuntimeWarning: Mean of empty slice |
| m = np.nanmean(col) |
| /root/miniconda3/lib/python3.12/site-packages/numpy/lib/_nanfunctions_impl.py:2015: RuntimeWarning: Degrees of freedom <= 0 for slice. |
| var = nanvar(a, axis=axis, dtype=dtype, out=out, ddof=ddof, |
| /root/autodl-tmp/pimamba/code/pimamba/data.py:159: RuntimeWarning: Mean of empty slice |
| m = np.nanmean(col) |
| /root/miniconda3/lib/python3.12/site-packages/numpy/lib/_nanfunctions_impl.py:2015: RuntimeWarning: Degrees of freedom <= 0 for slice. |
| var = nanvar(a, axis=axis, dtype=dtype, out=out, ddof=ddof, |
| /root/autodl-tmp/pimamba/code/pimamba/data.py:159: RuntimeWarning: Mean of empty slice |
| m = np.nanmean(col) |
| /root/miniconda3/lib/python3.12/site-packages/numpy/lib/_nanfunctions_impl.py:2015: RuntimeWarning: Degrees of freedom <= 0 for slice. |
| var = nanvar(a, axis=axis, dtype=dtype, out=out, ddof=ddof, |
| /root/autodl-tmp/pimamba/code/pimamba/data.py:159: RuntimeWarning: Mean of empty slice |
| m = np.nanmean(col) |
| /root/miniconda3/lib/python3.12/site-packages/numpy/lib/_nanfunctions_impl.py:2015: RuntimeWarning: Degrees of freedom <= 0 for slice. |
| var = nanvar(a, axis=axis, dtype=dtype, out=out, ddof=ddof, |
| /root/autodl-tmp/pimamba/code/pimamba/data.py:159: RuntimeWarning: Mean of empty slice |
| m = np.nanmean(col) |
| /root/miniconda3/lib/python3.12/site-packages/numpy/lib/_nanfunctions_impl.py:2015: RuntimeWarning: Degrees of freedom <= 0 for slice. |
| var = nanvar(a, axis=axis, dtype=dtype, out=out, ddof=ddof, |
| /root/autodl-tmp/pimamba/code/pimamba/data.py:159: RuntimeWarning: Mean of empty slice |
| m = np.nanmean(col) |
| /root/miniconda3/lib/python3.12/site-packages/numpy/lib/_nanfunctions_impl.py:2015: RuntimeWarning: Degrees of freedom <= 0 for slice. |
| var = nanvar(a, axis=axis, dtype=dtype, out=out, ddof=ddof, |
| /root/autodl-tmp/pimamba/code/pimamba/data.py:159: RuntimeWarning: Mean of empty slice |
| m = np.nanmean(col) |
| /root/miniconda3/lib/python3.12/site-packages/numpy/lib/_nanfunctions_impl.py:2015: RuntimeWarning: Degrees of freedom <= 0 for slice. |
| var = nanvar(a, axis=axis, dtype=dtype, out=out, ddof=ddof, |
| /root/autodl-tmp/pimamba/code/pimamba/data.py:159: RuntimeWarning: Mean of empty slice |
| m = np.nanmean(col) |
| /root/miniconda3/lib/python3.12/site-packages/numpy/lib/_nanfunctions_impl.py:2015: RuntimeWarning: Degrees of freedom <= 0 for slice. |
| var = nanvar(a, axis=axis, dtype=dtype, out=out, ddof=ddof, |
| /root/autodl-tmp/pimamba/code/pimamba/data.py:159: RuntimeWarning: Mean of empty slice |
| m = np.nanmean(col) |
| /root/miniconda3/lib/python3.12/site-packages/numpy/lib/_nanfunctions_impl.py:2015: RuntimeWarning: Degrees of freedom <= 0 for slice. |
| var = nanvar(a, axis=axis, dtype=dtype, out=out, ddof=ddof, |
| /root/autodl-tmp/pimamba/code/pimamba/data.py:159: RuntimeWarning: Mean of empty slice |
| m = np.nanmean(col) |
| /root/miniconda3/lib/python3.12/site-packages/numpy/lib/_nanfunctions_impl.py:2015: RuntimeWarning: Degrees of freedom <= 0 for slice. |
| var = nanvar(a, axis=axis, dtype=dtype, out=out, ddof=ddof, |
| /root/autodl-tmp/pimamba/code/pimamba/data.py:159: RuntimeWarning: Mean of empty slice |
| m = np.nanmean(col) |
| /root/miniconda3/lib/python3.12/site-packages/numpy/lib/_nanfunctions_impl.py:2015: RuntimeWarning: Degrees of freedom <= 0 for slice. |
| var = nanvar(a, axis=axis, dtype=dtype, out=out, ddof=ddof, |
| /root/autodl-tmp/pimamba/code/pimamba/data.py:159: RuntimeWarning: Mean of empty slice |
| m = np.nanmean(col) |
| /root/miniconda3/lib/python3.12/site-packages/numpy/lib/_nanfunctions_impl.py:2015: RuntimeWarning: Degrees of freedom <= 0 for slice. |
| var = nanvar(a, axis=axis, dtype=dtype, out=out, ddof=ddof, |
| /root/autodl-tmp/pimamba/code/pimamba/data.py:159: RuntimeWarning: Mean of empty slice |
| m = np.nanmean(col) |
| /root/miniconda3/lib/python3.12/site-packages/numpy/lib/_nanfunctions_impl.py:2015: RuntimeWarning: Degrees of freedom <= 0 for slice. |
| var = nanvar(a, axis=axis, dtype=dtype, out=out, ddof=ddof, |
| /root/autodl-tmp/pimamba/code/pimamba/data.py:159: RuntimeWarning: Mean of empty slice |
| m = np.nanmean(col) |
| /root/miniconda3/lib/python3.12/site-packages/numpy/lib/_nanfunctions_impl.py:2015: RuntimeWarning: Degrees of freedom <= 0 for slice. |
| var = nanvar(a, axis=axis, dtype=dtype, out=out, ddof=ddof, |
| /root/autodl-tmp/pimamba/code/pimamba/data.py:159: RuntimeWarning: Mean of empty slice |
| m = np.nanmean(col) |
| /root/miniconda3/lib/python3.12/site-packages/numpy/lib/_nanfunctions_impl.py:2015: RuntimeWarning: Degrees of freedom <= 0 for slice. |
| var = nanvar(a, axis=axis, dtype=dtype, out=out, ddof=ddof, |
| /root/autodl-tmp/pimamba/code/pimamba/data.py:159: RuntimeWarning: Mean of empty slice |
| m = np.nanmean(col) |
| /root/miniconda3/lib/python3.12/site-packages/numpy/lib/_nanfunctions_impl.py:2015: RuntimeWarning: Degrees of freedom <= 0 for slice. |
| var = nanvar(a, axis=axis, dtype=dtype, out=out, ddof=ddof, |
| /root/autodl-tmp/pimamba/code/pimamba/data.py:159: RuntimeWarning: Mean of empty slice |
| m = np.nanmean(col) |
| /root/miniconda3/lib/python3.12/site-packages/numpy/lib/_nanfunctions_impl.py:2015: RuntimeWarning: Degrees of freedom <= 0 for slice. |
| var = nanvar(a, axis=axis, dtype=dtype, out=out, ddof=ddof, |
| /root/autodl-tmp/pimamba/code/pimamba/data.py:159: RuntimeWarning: Mean of empty slice |
| m = np.nanmean(col) |
| /root/miniconda3/lib/python3.12/site-packages/numpy/lib/_nanfunctions_impl.py:2015: RuntimeWarning: Degrees of freedom <= 0 for slice. |
| var = nanvar(a, axis=axis, dtype=dtype, out=out, ddof=ddof, |
| /root/autodl-tmp/pimamba/code/pimamba/data.py:159: RuntimeWarning: Mean of empty slice |
| m = np.nanmean(col) |
| /root/miniconda3/lib/python3.12/site-packages/numpy/lib/_nanfunctions_impl.py:2015: RuntimeWarning: Degrees of freedom <= 0 for slice. |
| var = nanvar(a, axis=axis, dtype=dtype, out=out, ddof=ddof, |
| /root/autodl-tmp/pimamba/code/pimamba/data.py:159: RuntimeWarning: Mean of empty slice |
| m = np.nanmean(col) |
| /root/miniconda3/lib/python3.12/site-packages/numpy/lib/_nanfunctions_impl.py:2015: RuntimeWarning: Degrees of freedom <= 0 for slice. |
| var = nanvar(a, axis=axis, dtype=dtype, out=out, ddof=ddof, |
| /root/autodl-tmp/pimamba/code/pimamba/data.py:159: RuntimeWarning: Mean of empty slice |
| m = np.nanmean(col) |
| /root/miniconda3/lib/python3.12/site-packages/numpy/lib/_nanfunctions_impl.py:2015: RuntimeWarning: Degrees of freedom <= 0 for slice. |
| var = nanvar(a, axis=axis, dtype=dtype, out=out, ddof=ddof, |
| /root/autodl-tmp/pimamba/code/pimamba/data.py:159: RuntimeWarning: Mean of empty slice |
| m = np.nanmean(col) |
| /root/miniconda3/lib/python3.12/site-packages/numpy/lib/_nanfunctions_impl.py:2015: RuntimeWarning: Degrees of freedom <= 0 for slice. |
| var = nanvar(a, axis=axis, dtype=dtype, out=out, ddof=ddof, |
| /root/autodl-tmp/pimamba/code/pimamba/data.py:159: RuntimeWarning: Mean of empty slice |
| m = np.nanmean(col) |
| /root/miniconda3/lib/python3.12/site-packages/numpy/lib/_nanfunctions_impl.py:2015: RuntimeWarning: Degrees of freedom <= 0 for slice. |
| var = nanvar(a, axis=axis, dtype=dtype, out=out, ddof=ddof, |
| /root/autodl-tmp/pimamba/code/pimamba/data.py:159: RuntimeWarning: Mean of empty slice |
| m = np.nanmean(col) |
| /root/miniconda3/lib/python3.12/site-packages/numpy/lib/_nanfunctions_impl.py:2015: RuntimeWarning: Degrees of freedom <= 0 for slice. |
| var = nanvar(a, axis=axis, dtype=dtype, out=out, ddof=ddof, |
| /root/autodl-tmp/pimamba/code/pimamba/data.py:159: RuntimeWarning: Mean of empty slice |
| m = np.nanmean(col) |
| /root/miniconda3/lib/python3.12/site-packages/numpy/lib/_nanfunctions_impl.py:2015: RuntimeWarning: Degrees of freedom <= 0 for slice. |
| var = nanvar(a, axis=axis, dtype=dtype, out=out, ddof=ddof, |
| /root/autodl-tmp/pimamba/code/pimamba/data.py:159: RuntimeWarning: Mean of empty slice |
| m = np.nanmean(col) |
| /root/miniconda3/lib/python3.12/site-packages/numpy/lib/_nanfunctions_impl.py:2015: RuntimeWarning: Degrees of freedom <= 0 for slice. |
| var = nanvar(a, axis=axis, dtype=dtype, out=out, ddof=ddof, |
| /root/autodl-tmp/pimamba/code/pimamba/data.py:159: RuntimeWarning: Mean of empty slice |
| m = np.nanmean(col) |
| /root/miniconda3/lib/python3.12/site-packages/numpy/lib/_nanfunctions_impl.py:2015: RuntimeWarning: Degrees of freedom <= 0 for slice. |
| var = nanvar(a, axis=axis, dtype=dtype, out=out, ddof=ddof, |
| /root/autodl-tmp/pimamba/code/pimamba/data.py:159: RuntimeWarning: Mean of empty slice |
| m = np.nanmean(col) |
| /root/miniconda3/lib/python3.12/site-packages/numpy/lib/_nanfunctions_impl.py:2015: RuntimeWarning: Degrees of freedom <= 0 for slice. |
| var = nanvar(a, axis=axis, dtype=dtype, out=out, ddof=ddof, |
| /root/autodl-tmp/pimamba/code/pimamba/data.py:159: RuntimeWarning: Mean of empty slice |
| m = np.nanmean(col) |
| /root/miniconda3/lib/python3.12/site-packages/numpy/lib/_nanfunctions_impl.py:2015: RuntimeWarning: Degrees of freedom <= 0 for slice. |
| var = nanvar(a, axis=axis, dtype=dtype, out=out, ddof=ddof, |
| /root/autodl-tmp/pimamba/code/pimamba/data.py:159: RuntimeWarning: Mean of empty slice |
| m = np.nanmean(col) |
| /root/miniconda3/lib/python3.12/site-packages/numpy/lib/_nanfunctions_impl.py:2015: RuntimeWarning: Degrees of freedom <= 0 for slice. |
| var = nanvar(a, axis=axis, dtype=dtype, out=out, ddof=ddof, |
| /root/autodl-tmp/pimamba/code/pimamba/data.py:159: RuntimeWarning: Mean of empty slice |
| m = np.nanmean(col) |
| /root/miniconda3/lib/python3.12/site-packages/numpy/lib/_nanfunctions_impl.py:2015: RuntimeWarning: Degrees of freedom <= 0 for slice. |
| var = nanvar(a, axis=axis, dtype=dtype, out=out, ddof=ddof, |
| /root/autodl-tmp/pimamba/code/pimamba/data.py:159: RuntimeWarning: Mean of empty slice |
| m = np.nanmean(col) |
| /root/miniconda3/lib/python3.12/site-packages/numpy/lib/_nanfunctions_impl.py:2015: RuntimeWarning: Degrees of freedom <= 0 for slice. |
| var = nanvar(a, axis=axis, dtype=dtype, out=out, ddof=ddof, |
| /root/autodl-tmp/pimamba/code/pimamba/data.py:159: RuntimeWarning: Mean of empty slice |
| m = np.nanmean(col) |
| /root/miniconda3/lib/python3.12/site-packages/numpy/lib/_nanfunctions_impl.py:2015: RuntimeWarning: Degrees of freedom <= 0 for slice. |
| var = nanvar(a, axis=axis, dtype=dtype, out=out, ddof=ddof, |
| /root/autodl-tmp/pimamba/code/pimamba/data.py:159: RuntimeWarning: Mean of empty slice |
| m = np.nanmean(col) |
| /root/miniconda3/lib/python3.12/site-packages/numpy/lib/_nanfunctions_impl.py:2015: RuntimeWarning: Degrees of freedom <= 0 for slice. |
| var = nanvar(a, axis=axis, dtype=dtype, out=out, ddof=ddof, |
| /root/autodl-tmp/pimamba/code/pimamba/data.py:159: RuntimeWarning: Mean of empty slice |
| m = np.nanmean(col) |
| /root/miniconda3/lib/python3.12/site-packages/numpy/lib/_nanfunctions_impl.py:2015: RuntimeWarning: Degrees of freedom <= 0 for slice. |
| var = nanvar(a, axis=axis, dtype=dtype, out=out, ddof=ddof, |
| /root/autodl-tmp/pimamba/code/pimamba/data.py:159: RuntimeWarning: Mean of empty slice |
| m = np.nanmean(col) |
| /root/miniconda3/lib/python3.12/site-packages/numpy/lib/_nanfunctions_impl.py:2015: RuntimeWarning: Degrees of freedom <= 0 for slice. |
| var = nanvar(a, axis=axis, dtype=dtype, out=out, ddof=ddof, |
| /root/autodl-tmp/pimamba/code/pimamba/data.py:159: RuntimeWarning: Mean of empty slice |
| m = np.nanmean(col) |
| /root/miniconda3/lib/python3.12/site-packages/numpy/lib/_nanfunctions_impl.py:2015: RuntimeWarning: Degrees of freedom <= 0 for slice. |
| var = nanvar(a, axis=axis, dtype=dtype, out=out, ddof=ddof, |
| /root/autodl-tmp/pimamba/code/pimamba/data.py:159: RuntimeWarning: Mean of empty slice |
| m = np.nanmean(col) |
| /root/miniconda3/lib/python3.12/site-packages/numpy/lib/_nanfunctions_impl.py:2015: RuntimeWarning: Degrees of freedom <= 0 for slice. |
| var = nanvar(a, axis=axis, dtype=dtype, out=out, ddof=ddof, |
| /root/autodl-tmp/pimamba/code/pimamba/data.py:159: RuntimeWarning: Mean of empty slice |
| m = np.nanmean(col) |
| /root/miniconda3/lib/python3.12/site-packages/numpy/lib/_nanfunctions_impl.py:2015: RuntimeWarning: Degrees of freedom <= 0 for slice. |
| var = nanvar(a, axis=axis, dtype=dtype, out=out, ddof=ddof, |
| /root/autodl-tmp/pimamba/code/pimamba/data.py:159: RuntimeWarning: Mean of empty slice |
| m = np.nanmean(col) |
| /root/miniconda3/lib/python3.12/site-packages/numpy/lib/_nanfunctions_impl.py:2015: RuntimeWarning: Degrees of freedom <= 0 for slice. |
| var = nanvar(a, axis=axis, dtype=dtype, out=out, ddof=ddof, |
| /root/autodl-tmp/pimamba/code/pimamba/data.py:159: RuntimeWarning: Mean of empty slice |
| m = np.nanmean(col) |
| /root/miniconda3/lib/python3.12/site-packages/numpy/lib/_nanfunctions_impl.py:2015: RuntimeWarning: Degrees of freedom <= 0 for slice. |
| var = nanvar(a, axis=axis, dtype=dtype, out=out, ddof=ddof, |
| /root/autodl-tmp/pimamba/code/pimamba/data.py:159: RuntimeWarning: Mean of empty slice |
| m = np.nanmean(col) |
| /root/miniconda3/lib/python3.12/site-packages/numpy/lib/_nanfunctions_impl.py:2015: RuntimeWarning: Degrees of freedom <= 0 for slice. |
| var = nanvar(a, axis=axis, dtype=dtype, out=out, ddof=ddof, |
| /root/autodl-tmp/pimamba/code/pimamba/data.py:159: RuntimeWarning: Mean of empty slice |
| m = np.nanmean(col) |
| /root/miniconda3/lib/python3.12/site-packages/numpy/lib/_nanfunctions_impl.py:2015: RuntimeWarning: Degrees of freedom <= 0 for slice. |
| var = nanvar(a, axis=axis, dtype=dtype, out=out, ddof=ddof, |
| /root/autodl-tmp/pimamba/code/pimamba/data.py:159: RuntimeWarning: Mean of empty slice |
| m = np.nanmean(col) |
| /root/miniconda3/lib/python3.12/site-packages/numpy/lib/_nanfunctions_impl.py:2015: RuntimeWarning: Degrees of freedom <= 0 for slice. |
| var = nanvar(a, axis=axis, dtype=dtype, out=out, ddof=ddof, |
| /root/autodl-tmp/pimamba/code/pimamba/data.py:159: RuntimeWarning: Mean of empty slice |
| m = np.nanmean(col) |
| /root/miniconda3/lib/python3.12/site-packages/numpy/lib/_nanfunctions_impl.py:2015: RuntimeWarning: Degrees of freedom <= 0 for slice. |
| var = nanvar(a, axis=axis, dtype=dtype, out=out, ddof=ddof, |
| /root/autodl-tmp/pimamba/code/pimamba/data.py:159: RuntimeWarning: Mean of empty slice |
| m = np.nanmean(col) |
| /root/miniconda3/lib/python3.12/site-packages/numpy/lib/_nanfunctions_impl.py:2015: RuntimeWarning: Degrees of freedom <= 0 for slice. |
| var = nanvar(a, axis=axis, dtype=dtype, out=out, ddof=ddof, |
| /root/autodl-tmp/pimamba/code/pimamba/data.py:159: RuntimeWarning: Mean of empty slice |
| m = np.nanmean(col) |
| /root/miniconda3/lib/python3.12/site-packages/numpy/lib/_nanfunctions_impl.py:2015: RuntimeWarning: Degrees of freedom <= 0 for slice. |
| var = nanvar(a, axis=axis, dtype=dtype, out=out, ddof=ddof, |
| /root/autodl-tmp/pimamba/code/pimamba/data.py:159: RuntimeWarning: Mean of empty slice |
| m = np.nanmean(col) |
| /root/miniconda3/lib/python3.12/site-packages/numpy/lib/_nanfunctions_impl.py:2015: RuntimeWarning: Degrees of freedom <= 0 for slice. |
| var = nanvar(a, axis=axis, dtype=dtype, out=out, ddof=ddof, |
| /root/autodl-tmp/pimamba/code/pimamba/data.py:159: RuntimeWarning: Mean of empty slice |
| m = np.nanmean(col) |
| /root/miniconda3/lib/python3.12/site-packages/numpy/lib/_nanfunctions_impl.py:2015: RuntimeWarning: Degrees of freedom <= 0 for slice. |
| var = nanvar(a, axis=axis, dtype=dtype, out=out, ddof=ddof, |
| /root/autodl-tmp/pimamba/code/pimamba/data.py:159: RuntimeWarning: Mean of empty slice |
| m = np.nanmean(col) |
| /root/miniconda3/lib/python3.12/site-packages/numpy/lib/_nanfunctions_impl.py:2015: RuntimeWarning: Degrees of freedom <= 0 for slice. |
| var = nanvar(a, axis=axis, dtype=dtype, out=out, ddof=ddof, |
| /root/autodl-tmp/pimamba/code/pimamba/data.py:159: RuntimeWarning: Mean of empty slice |
| m = np.nanmean(col) |
| /root/miniconda3/lib/python3.12/site-packages/numpy/lib/_nanfunctions_impl.py:2015: RuntimeWarning: Degrees of freedom <= 0 for slice. |
| var = nanvar(a, axis=axis, dtype=dtype, out=out, ddof=ddof, |
| /root/autodl-tmp/pimamba/code/pimamba/data.py:159: RuntimeWarning: Mean of empty slice |
| m = np.nanmean(col) |
| /root/miniconda3/lib/python3.12/site-packages/numpy/lib/_nanfunctions_impl.py:2015: RuntimeWarning: Degrees of freedom <= 0 for slice. |
| var = nanvar(a, axis=axis, dtype=dtype, out=out, ddof=ddof, |
| /root/autodl-tmp/pimamba/code/pimamba/data.py:159: RuntimeWarning: Mean of empty slice |
| m = np.nanmean(col) |
| /root/miniconda3/lib/python3.12/site-packages/numpy/lib/_nanfunctions_impl.py:2015: RuntimeWarning: Degrees of freedom <= 0 for slice. |
| var = nanvar(a, axis=axis, dtype=dtype, out=out, ddof=ddof, |
| /root/autodl-tmp/pimamba/code/pimamba/data.py:159: RuntimeWarning: Mean of empty slice |
| m = np.nanmean(col) |
| /root/miniconda3/lib/python3.12/site-packages/numpy/lib/_nanfunctions_impl.py:2015: RuntimeWarning: Degrees of freedom <= 0 for slice. |
| var = nanvar(a, axis=axis, dtype=dtype, out=out, ddof=ddof, |
| /root/autodl-tmp/pimamba/code/pimamba/data.py:159: RuntimeWarning: Mean of empty slice |
| m = np.nanmean(col) |
| /root/miniconda3/lib/python3.12/site-packages/numpy/lib/_nanfunctions_impl.py:2015: RuntimeWarning: Degrees of freedom <= 0 for slice. |
| var = nanvar(a, axis=axis, dtype=dtype, out=out, ddof=ddof, |
| /root/autodl-tmp/pimamba/code/pimamba/data.py:159: RuntimeWarning: Mean of empty slice |
| m = np.nanmean(col) |
| /root/miniconda3/lib/python3.12/site-packages/numpy/lib/_nanfunctions_impl.py:2015: RuntimeWarning: Degrees of freedom <= 0 for slice. |
| var = nanvar(a, axis=axis, dtype=dtype, out=out, ddof=ddof, |
| /root/autodl-tmp/pimamba/code/pimamba/data.py:159: RuntimeWarning: Mean of empty slice |
| m = np.nanmean(col) |
| /root/miniconda3/lib/python3.12/site-packages/numpy/lib/_nanfunctions_impl.py:2015: RuntimeWarning: Degrees of freedom <= 0 for slice. |
| var = nanvar(a, axis=axis, dtype=dtype, out=out, ddof=ddof, |
| /root/autodl-tmp/pimamba/code/pimamba/data.py:159: RuntimeWarning: Mean of empty slice |
| m = np.nanmean(col) |
| /root/miniconda3/lib/python3.12/site-packages/numpy/lib/_nanfunctions_impl.py:2015: RuntimeWarning: Degrees of freedom <= 0 for slice. |
| var = nanvar(a, axis=axis, dtype=dtype, out=out, ddof=ddof, |
| /root/autodl-tmp/pimamba/code/pimamba/data.py:159: RuntimeWarning: Mean of empty slice |
| m = np.nanmean(col) |
| /root/miniconda3/lib/python3.12/site-packages/numpy/lib/_nanfunctions_impl.py:2015: RuntimeWarning: Degrees of freedom <= 0 for slice. |
| var = nanvar(a, axis=axis, dtype=dtype, out=out, ddof=ddof, |
| /root/autodl-tmp/pimamba/code/pimamba/data.py:159: RuntimeWarning: Mean of empty slice |
| m = np.nanmean(col) |
| /root/miniconda3/lib/python3.12/site-packages/numpy/lib/_nanfunctions_impl.py:2015: RuntimeWarning: Degrees of freedom <= 0 for slice. |
| var = nanvar(a, axis=axis, dtype=dtype, out=out, ddof=ddof, |
| /root/autodl-tmp/pimamba/code/pimamba/data.py:159: RuntimeWarning: Mean of empty slice |
| m = np.nanmean(col) |
| /root/miniconda3/lib/python3.12/site-packages/numpy/lib/_nanfunctions_impl.py:2015: RuntimeWarning: Degrees of freedom <= 0 for slice. |
| var = nanvar(a, axis=axis, dtype=dtype, out=out, ddof=ddof, |
| /root/autodl-tmp/pimamba/code/pimamba/data.py:159: RuntimeWarning: Mean of empty slice |
| m = np.nanmean(col) |
| /root/miniconda3/lib/python3.12/site-packages/numpy/lib/_nanfunctions_impl.py:2015: RuntimeWarning: Degrees of freedom <= 0 for slice. |
| var = nanvar(a, axis=axis, dtype=dtype, out=out, ddof=ddof, |
| /root/autodl-tmp/pimamba/code/pimamba/data.py:159: RuntimeWarning: Mean of empty slice |
| m = np.nanmean(col) |
| /root/miniconda3/lib/python3.12/site-packages/numpy/lib/_nanfunctions_impl.py:2015: RuntimeWarning: Degrees of freedom <= 0 for slice. |
| var = nanvar(a, axis=axis, dtype=dtype, out=out, ddof=ddof, |
| /root/autodl-tmp/pimamba/code/pimamba/data.py:159: RuntimeWarning: Mean of empty slice |
| m = np.nanmean(col) |
| /root/miniconda3/lib/python3.12/site-packages/numpy/lib/_nanfunctions_impl.py:2015: RuntimeWarning: Degrees of freedom <= 0 for slice. |
| var = nanvar(a, axis=axis, dtype=dtype, out=out, ddof=ddof, |
| /root/autodl-tmp/pimamba/code/pimamba/data.py:159: RuntimeWarning: Mean of empty slice |
| m = np.nanmean(col) |
| /root/miniconda3/lib/python3.12/site-packages/numpy/lib/_nanfunctions_impl.py:2015: RuntimeWarning: Degrees of freedom <= 0 for slice. |
| var = nanvar(a, axis=axis, dtype=dtype, out=out, ddof=ddof, |
| /root/autodl-tmp/pimamba/code/pimamba/data.py:159: RuntimeWarning: Mean of empty slice |
| m = np.nanmean(col) |
| /root/miniconda3/lib/python3.12/site-packages/numpy/lib/_nanfunctions_impl.py:2015: RuntimeWarning: Degrees of freedom <= 0 for slice. |
| var = nanvar(a, axis=axis, dtype=dtype, out=out, ddof=ddof, |
| /root/autodl-tmp/pimamba/code/pimamba/data.py:159: RuntimeWarning: Mean of empty slice |
| m = np.nanmean(col) |
| /root/miniconda3/lib/python3.12/site-packages/numpy/lib/_nanfunctions_impl.py:2015: RuntimeWarning: Degrees of freedom <= 0 for slice. |
| var = nanvar(a, axis=axis, dtype=dtype, out=out, ddof=ddof, |
| /root/autodl-tmp/pimamba/code/pimamba/data.py:159: RuntimeWarning: Mean of empty slice |
| m = np.nanmean(col) |
| /root/miniconda3/lib/python3.12/site-packages/numpy/lib/_nanfunctions_impl.py:2015: RuntimeWarning: Degrees of freedom <= 0 for slice. |
| var = nanvar(a, axis=axis, dtype=dtype, out=out, ddof=ddof, |
| /root/autodl-tmp/pimamba/code/pimamba/data.py:159: RuntimeWarning: Mean of empty slice |
| m = np.nanmean(col) |
| /root/miniconda3/lib/python3.12/site-packages/numpy/lib/_nanfunctions_impl.py:2015: RuntimeWarning: Degrees of freedom <= 0 for slice. |
| var = nanvar(a, axis=axis, dtype=dtype, out=out, ddof=ddof, |
| /root/autodl-tmp/pimamba/code/pimamba/data.py:159: RuntimeWarning: Mean of empty slice |
| m = np.nanmean(col) |
| /root/miniconda3/lib/python3.12/site-packages/numpy/lib/_nanfunctions_impl.py:2015: RuntimeWarning: Degrees of freedom <= 0 for slice. |
| var = nanvar(a, axis=axis, dtype=dtype, out=out, ddof=ddof, |
| /root/autodl-tmp/pimamba/code/pimamba/data.py:159: RuntimeWarning: Mean of empty slice |
| m = np.nanmean(col) |
| /root/miniconda3/lib/python3.12/site-packages/numpy/lib/_nanfunctions_impl.py:2015: RuntimeWarning: Degrees of freedom <= 0 for slice. |
| var = nanvar(a, axis=axis, dtype=dtype, out=out, ddof=ddof, |
| /root/autodl-tmp/pimamba/code/pimamba/data.py:159: RuntimeWarning: Mean of empty slice |
| m = np.nanmean(col) |
| /root/miniconda3/lib/python3.12/site-packages/numpy/lib/_nanfunctions_impl.py:2015: RuntimeWarning: Degrees of freedom <= 0 for slice. |
| var = nanvar(a, axis=axis, dtype=dtype, out=out, ddof=ddof, |
| /root/autodl-tmp/pimamba/code/pimamba/data.py:159: RuntimeWarning: Mean of empty slice |
| m = np.nanmean(col) |
| /root/miniconda3/lib/python3.12/site-packages/numpy/lib/_nanfunctions_impl.py:2015: RuntimeWarning: Degrees of freedom <= 0 for slice. |
| var = nanvar(a, axis=axis, dtype=dtype, out=out, ddof=ddof, |
| /root/autodl-tmp/pimamba/code/pimamba/data.py:159: RuntimeWarning: Mean of empty slice |
| m = np.nanmean(col) |
| /root/miniconda3/lib/python3.12/site-packages/numpy/lib/_nanfunctions_impl.py:2015: RuntimeWarning: Degrees of freedom <= 0 for slice. |
| var = nanvar(a, axis=axis, dtype=dtype, out=out, ddof=ddof, |
| /root/autodl-tmp/pimamba/code/pimamba/data.py:159: RuntimeWarning: Mean of empty slice |
| m = np.nanmean(col) |
| /root/miniconda3/lib/python3.12/site-packages/numpy/lib/_nanfunctions_impl.py:2015: RuntimeWarning: Degrees of freedom <= 0 for slice. |
| var = nanvar(a, axis=axis, dtype=dtype, out=out, ddof=ddof, |
| /root/autodl-tmp/pimamba/code/pimamba/data.py:159: RuntimeWarning: Mean of empty slice |
| m = np.nanmean(col) |
| /root/miniconda3/lib/python3.12/site-packages/numpy/lib/_nanfunctions_impl.py:2015: RuntimeWarning: Degrees of freedom <= 0 for slice. |
| var = nanvar(a, axis=axis, dtype=dtype, out=out, ddof=ddof, |
| == dataeff == |
| cached de_pimamba_025_f0 |
| [de_pimamba_025_f1] params=116173 best_val=0.0380 test macroR2=-33.9239 time=18.1s |
| [de_pimamba_025_f2] params=116173 best_val=0.0000 test macroR2=-214878.4303 time=18.0s |
| [de_pimamba_025_f3] params=116173 best_val=0.0429 test macroR2=-1406493.1751 time=18.2s |
| [de_pimamba_025_f4] params=116173 best_val=0.0577 test macroR2=-81457.6412 time=17.8s |
| [de_pimamba_050_f0] params=116173 best_val=0.0380 test macroR2=-1751.3732 time=36.3s |
| [de_pimamba_050_f1] params=116173 best_val=0.0343 test macroR2=-79.2581 time=36.4s |
| [de_pimamba_050_f2] params=116173 best_val=0.0355 test macroR2=-0.1532 time=36.5s |
| [de_pimamba_050_f3] params=116173 best_val=0.0404 test macroR2=-14275.2897 time=36.5s |
| [de_pimamba_050_f4] params=116173 best_val=0.0000 test macroR2=-5149.1000 time=35.4s |
| [de_pimamba_075_f0] params=116173 best_val=0.0338 test macroR2=-6.4602 time=54.5s |
| [de_pimamba_075_f1] params=116173 best_val=0.0387 test macroR2=-8.7461 time=54.5s |
| [de_pimamba_075_f2] params=116173 best_val=0.0381 test macroR2=-5.2420 time=54.3s |
| [de_pimamba_075_f3] params=116173 best_val=0.0378 test macroR2=-14.4738 time=54.0s |
| [de_pimamba_075_f4] params=116173 best_val=0.0402 test macroR2=-0.3283 time=54.3s |
| [de_pimamba_100_f0] params=116173 best_val=0.0465 test macroR2=-5.0944 time=71.6s |
| [de_pimamba_100_f1] params=116173 best_val=0.0470 test macroR2=-6.8202 time=71.5s |
| [de_pimamba_100_f2] params=116173 best_val=0.0404 test macroR2=-7.0921 time=72.0s |
| [de_pimamba_100_f3] params=116173 best_val=0.0382 test macroR2=-15.6483 time=72.4s |
| [de_pimamba_100_f4] params=116173 best_val=0.0399 test macroR2=-0.8534 time=71.8s |
| [de_mamba_025_f0] params=103693 best_val=0.0000 test macroR2=-8355735.0703 time=17.1s |
| [de_mamba_025_f1] params=103693 best_val=0.0368 test macroR2=-27.5110 time=16.6s |
| [de_mamba_025_f2] params=103693 best_val=0.0519 test macroR2=-213318.7616 time=17.8s |
| [de_mamba_025_f3] params=103693 best_val=0.0432 test macroR2=-1815436.9187 time=17.8s |
| [de_mamba_025_f4] params=103693 best_val=0.0586 test macroR2=-117996.9309 time=18.0s |
| [de_mamba_050_f0] params=103693 best_val=0.0378 test macroR2=-30389.3282 time=36.2s |
| [de_mamba_050_f1] params=103693 best_val=0.0435 test macroR2=-101.9008 time=36.5s |
| [de_mamba_050_f2] params=103693 best_val=0.0368 test macroR2=-0.1267 time=36.6s |
| [de_mamba_050_f3] params=103693 best_val=0.0422 test macroR2=-12111.0481 time=35.7s |
| [de_mamba_050_f4] params=103693 best_val=0.0393 test macroR2=-34452.5558 time=35.5s |
| [de_mamba_075_f0] params=103693 best_val=0.0324 test macroR2=-6.6711 time=54.6s |
| [de_mamba_075_f1] params=103693 best_val=0.0424 test macroR2=-8.9448 time=46.1s |
| [de_mamba_075_f2] params=103693 best_val=0.0421 test macroR2=-5.8226 time=33.2s |
| [de_mamba_075_f3] params=103693 best_val=0.0442 test macroR2=-14.0481 time=44.4s |
| [de_mamba_075_f4] params=103693 best_val=0.0398 test macroR2=-0.3696 time=53.9s |
| [de_mamba_100_f0] params=103693 best_val=0.0437 test macroR2=-5.3157 time=70.1s |
| [de_mamba_100_f1] params=103693 best_val=0.0375 test macroR2=-6.9318 time=70.9s |
| [de_mamba_100_f2] params=103693 best_val=0.0380 test macroR2=-7.4296 time=71.8s |
| [de_mamba_100_f3] params=103693 best_val=0.0399 test macroR2=-15.6149 time=72.1s |
| [de_mamba_100_f4] params=103693 best_val=0.0355 test macroR2=-0.8555 time=72.5s |
| [de_gru_025_f0] params=93837 best_val=0.0297 test macroR2=-98678490.8268 time=9.1s |
| [de_gru_025_f1] params=93837 best_val=0.0413 test macroR2=-26194508770.3654 time=10.6s |
| [de_gru_025_f2] params=93837 best_val=0.0663 test macroR2=-384886.3518 time=10.7s |
| [de_gru_025_f3] params=93837 best_val=0.0444 test macroR2=-1588701.5477 time=10.6s |
| [de_gru_025_f4] params=93837 best_val=0.0651 test macroR2=-43366.1441 time=10.9s |
| [de_gru_050_f0] params=93837 best_val=0.0460 test macroR2=-201860790374726541973442740786722375750912372700021527684188997590912574883066663827295328701882931026086232028208606895007823036416.0000 time=20.4s |
| [de_gru_050_f1] params=93837 best_val=0.0444 test macroR2=-29.2573 time=19.4s |
| [de_gru_050_f2] params=93837 best_val=0.0484 test macroR2=-0.3151 time=18.4s |
| [de_gru_050_f3] params=93837 best_val=0.0462 test macroR2=-28456486168.9004 time=20.6s |
| [de_gru_050_f4] params=93837 best_val=0.0452 test macroR2=-267310278551682652570844290597343736102912.0000 time=19.9s |
| [de_gru_075_f0] params=93837 best_val=0.0423 test macroR2=-6.1437 time=30.7s |
| [de_gru_075_f1] params=93837 best_val=0.0543 test macroR2=-8.7137 time=28.9s |
| [de_gru_075_f2] params=93837 best_val=0.0444 test macroR2=-5.6274 time=30.6s |
| [de_gru_075_f3] params=93837 best_val=0.0481 test macroR2=-13.9968 time=30.6s |
| [de_gru_075_f4] params=93837 best_val=0.0466 test macroR2=-0.3039 time=30.2s |
| [de_gru_100_f0] params=93837 best_val=0.0454 test macroR2=-4.7459 time=38.7s |
| [de_gru_100_f1] params=93837 best_val=0.0515 test macroR2=-6.7919 time=41.1s |
| [de_gru_100_f2] params=93837 best_val=0.0504 test macroR2=-7.6111 time=39.2s |
| [de_gru_100_f3] params=93837 best_val=0.0468 test macroR2=-15.6505 time=40.7s |
| [de_gru_100_f4] params=93837 best_val=0.0500 test macroR2=-1.0173 time=40.9s |
| [de_mlp_025_f0] params=44429 best_val=0.0459 test macroR2=-32241288289836616.0000 time=7.6s |
| [de_mlp_025_f1] params=44429 best_val=0.0941 test macroR2=-6.8411 time=7.9s |
| [de_mlp_025_f2] params=44429 best_val=0.0776 test macroR2=-845527.9798 time=8.1s |
| [de_mlp_025_f3] params=44429 best_val=0.0780 test macroR2=-1484508.8417 time=8.4s |
| [de_mlp_025_f4] params=44429 best_val=0.0829 test macroR2=-241374.3959 time=7.8s |
| [de_mlp_050_f0] params=44429 best_val=0.0802 test macroR2=-55119996.9312 time=16.4s |
| [de_mlp_050_f1] params=44429 best_val=0.0793 test macroR2=-60.6049 time=16.5s |
| [de_mlp_050_f2] params=44429 best_val=0.0822 test macroR2=-0.0755 time=16.7s |
| [de_mlp_050_f3] params=44429 best_val=0.0821 test macroR2=-1560.8458 time=16.8s |
| [de_mlp_050_f4] params=44429 best_val=0.0766 test macroR2=-0.4168 time=16.3s |
| [de_mlp_075_f0] params=44429 best_val=0.0737 test macroR2=-6.2804 time=24.3s |
| [de_mlp_075_f1] params=44429 best_val=0.0803 test macroR2=-8.4000 time=24.2s |
| [de_mlp_075_f2] params=44429 best_val=0.0876 test macroR2=-4.0216 time=23.6s |
| [de_mlp_075_f3] params=44429 best_val=0.0765 test macroR2=-12.6334 time=25.7s |
| [de_mlp_075_f4] params=44429 best_val=0.0791 test macroR2=-0.4398 time=24.9s |
| [de_mlp_100_f0] params=44429 best_val=0.0764 test macroR2=-4.8783 time=33.4s |
| [de_mlp_100_f1] params=44429 best_val=0.0822 test macroR2=-6.6063 time=33.3s |
| [de_mlp_100_f2] params=44429 best_val=0.0712 test macroR2=-5.9026 time=33.6s |
| [de_mlp_100_f3] params=44429 best_val=0.0650 test macroR2=-13.8824 time=32.3s |
| [de_mlp_100_f4] params=44429 best_val=0.0692 test macroR2=-1.4179 time=32.9s |
|
|
| summary -> /root/autodl-tmp/pimamba/results/summary.csv (252 rows) |
|
|
