2014/1/21 Lorenzo Isella <lorenzo.ise...@gmail.com>:
> I checked the dat files with R and there are only numeric values and no
> missing values, nevertheless I get this error message when I try running
> the Python script
>
> $ ./loan-minimal.py
> Traceback (most recent call last):
> File "./loan-minimal.py", line 13, in <module>
> clf.fit(train, loss)
> File "/usr/lib/python2.7/dist-packages/sklearn/ensemble/forest.py", line
> 257, in fit
> check_ccontiguous=True)
> File "/usr/lib/python2.7/dist-packages/sklearn/utils/validation.py",
> line 233, in check_arrays
> _assert_all_finite(array)
> File "/usr/lib/python2.7/dist-packages/sklearn/utils/validation.py",
> line 27, in _assert_all_finite
> raise ValueError("Array contains NaN or infinity.")
> ValueError: Array contains NaN or infinity.
Could you check again with NumPy? np.where(~np.isfinite(train)) and
similarly for loss. At least then you know whether it's genfromtxt or
scikit-learn that introduces the NaN/inf.
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