Closed embaldridge closed 9 years ago
That would be because none of the datasets are putting out anything for the Poisson lognormal now.
This presumably has something to do with the changes in lines 88-101 in sad-comparisons.py, but I'm going to bet it's the elif at 94.
Removing the elif seems to make things not messed up with the MCDB data. Since that worked, I will try the FIA.
FIA: 184085020037
S:10
N:33
Likelihood: -53.5322929467849
Abundances:
15 1 1 2 1 1 1 1 9 1
The -inf values are blanked out now, but there is still one negative likelihood left.
This problem should, in theory, be solved by actually trying to graph the correct thing, but the run isn't complete yet, so I don't know.
Fixed.
Traceback (most recent call last): File "/usr/lib/wingide-101-4.1/src/debug/tserver/_sandbox.py", line 161, in
File "/usr/lib/wingide-101-4.1/src/debug/tserver/_sandbox.py", line 23, in import_results
File "/usr/lib/python2.7/dist-packages/numpy/lib/npyio.py", line 1667, in genfromtxt
raise ValueError(errmsg)
ValueError: Some errors were detected !
Line #315 (got 3 columns instead of 8)