Traceback (most recent call last):
File "run_3_learn.py", line 38, in <module>
dirnames = megalut.learn.tenbilacrun.train(traincat, conflist, traindir)
File "/users/mtewes/code/megalut-git/megalut/learn/tenbilacrun.py", line 78, in train
ten.train(inputsdata, targetsdata, inputlabels, targetlabels)
File "/users/mtewes/code/tenbilac-git/tenbilac/com.py", line 334, in train
map(_trainworker, self.committee)
File "/users/mtewes/code/tenbilac-git/tenbilac/com.py", line 519, in _trainworker
trainobj.opt(**trainobj._trainkwargdict)
File "/users/mtewes/code/tenbilac-git/tenbilac/train.py", line 505, in opt
self.end()
File "/users/mtewes/code/tenbilac-git/tenbilac/train.py", line 343, in end
self.makeplots()
File "/users/mtewes/code/tenbilac-git/tenbilac/train.py", line 281, in makeplots
plot.outdistribs(self, filepath=self.plotpath("outdistribs", **kwargs))
File "/users/mtewes/code/tenbilac-git/tenbilac/plot.py", line 350, in outdistribs
ax.set_yscale('log')
File "/usr/lib/python2.7/dist-packages/matplotlib/axes/_base.py", line 3096, in set_yscale
self.autoscale_view(scalex=False)
File "/usr/lib/python2.7/dist-packages/matplotlib/axes/_base.py", line 2197, in autoscale_view
y0, y1 = ylocator.view_limits(y0, y1)
File "/usr/lib/python2.7/dist-packages/matplotlib/ticker.py", line 1613, in view_limits
"Data has no positive values, and therefore can not be "
ValueError: Data has no positive values, and therefore can not be log-scaled.
Strange, never got this before. Investigating.