Hi,
Currently the fit function in GaussianProcess throws a weird exception
when only one training example is passed to fit():
>>> from sklearn.gaussian_process import GaussianProcess
from sklearn.gaussian_process import GaussianProcess
>>> gp.fit([[1., 2.]], [-1.0])
gp.fit([[1., 2.]], [-1.0])
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
File
"/Users/apassos/Library/Python/2.7/lib/python/site-packages/sklearn/gaussian_process/gaussian_process.py",
line 281, in fit
if np.min(np.sum(D, axis=1)) == 0. \
File
"/System/Library/Frameworks/Python.framework/Versions/2.7/Extras/lib/python/numpy/core/fromnumeric.py",
line 1862, in amin
return amin(axis, out)
ValueError: zero-size array to ufunc.reduce without identity
>>>
Should this be fixed or should a better error message be passed?
--
- Alexandre
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