Hello,
Whenever I am training the HPELM with large numbers of neurons (when SVD is used), I get the following warning:
/Applications/anaconda2/envs/py3/lib/python3.6/site-packages/hpelm/nnets/slfn_python.py:65: FutureWarning: rcond parameter will change to the default of machine precision times max(M, N) where M and N are the input matrix dimensions.
To use the future default and silence this warning we advise to pass rcond=None, to keep using the old, explicitly pass rcond=-1.
B = np.linalg.lstsq(HH, HT)[0]
This is not any problem for me, I just thought to draw your attention to this, as it may cause problems in the future.
Hello, Whenever I am training the HPELM with large numbers of neurons (when SVD is used), I get the following warning: /Applications/anaconda2/envs/py3/lib/python3.6/site-packages/hpelm/nnets/slfn_python.py:65: FutureWarning:
rcondparameter will change to the default of machine precision timesmax(M, N)where M and N are the input matrix dimensions. To use the future default and silence this warning we advise to passrcond=None, to keep using the old, explicitly passrcond=-1. B = np.linalg.lstsq(HH, HT)[0]This is not any problem for me, I just thought to draw your attention to this, as it may cause problems in the future.