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<div class="moz-cite-prefix"> Dear Julio,<br>
<br>
Given the warnings on compute_epi_mask, I think that you
should remove the folder
nilearn_cache/joblib/nilearn/masking/compute_epi_mask and launch
again.<br>
Best,<br>
<br>
Bertrand Thirion<br>
<br>
<br>
On 24/02/2017 02:36, Julio Villalon wrote:<br>
</div>
<blockquote
cite="mid:CAJ+byPSb7kR4+v0r450SWkXU2zgKgcyhJ9XwhekRc2srEqfdYA@mail.gmail.com"
type="cite">
<div dir="ltr">Hi Nilearn team,
<div><br>
</div>
<div>I am trying to run the SpaceNet example:</div>
<div><br>
</div>
<div><a moz-do-not-send="true"
href="https://nilearn.github.io/auto_examples/02_decoding/plot_haxby_space_net.html#sphx-glr-auto-examples-02-decoding-plot-haxby-space-net-py">https://nilearn.github.io/auto_examples/02_decoding/plot_haxby_space_net.html#sphx-glr-auto-examples-02-decoding-plot-haxby-space-net-py</a><br>
</div>
<div><br>
<div>And I am getting the following error:</div>
<div><br>
</div>
<div>' ' ' </div>
<div>
<div>ValueError: Found array with 0 sample(s) (shape=(0,
129600)) while a minimum of 1 is required.</div>
<div><br>
</div>
<div>/Users/jvillalo/scikit-learn/sklearn/externals/joblib/memory.py:133:
DeprecationWarning: The file
'nilearn_cache/joblib/nilearn/masking/compute_epi_mask/8ac3f6747d8c3cbe01809029506bc2c4/output.pkl'
has been generated with a joblib version less than 0.10.
Please regenerate this pickle file.</div>
<div> return numpy_pickle.load(filename,
mmap_mode=mmap_mode)</div>
</div>
</div>
<div>' ' ' </div>
<div><br>
</div>
<div>I am using Python 3.5, Numpy 1.12, Scipy 0.18.1. I also
included in my PYTHONPATH the latest development versions
(master branches) of Nilearn and Scikit-learn. </div>
<div><br>
</div>
<div>Can anyone point me in the right direction of how to solve
this problem?</div>
<div><br>
</div>
<div>Thank you</div>
<div><br>
</div>
<div>Julio Villalon</div>
<div>USC Imaging Genetics Center</div>
<div><br>
</div>
<div>This is full error message:</div>
<div>------------------------------------------------</div>
<div>
<div>Traceback (most recent call last):</div>
<div> File
"/Users/jvillalo/anaconda/lib/python3.5/site-packages/IPython/core/interactiveshell.py",
line 2481, in safe_execfile</div>
<div> self.compile if kw['shell_futures'] else None)</div>
<div> File
"/Users/jvillalo/anaconda/lib/python3.5/site-packages/IPython/utils/py3compat.py",
line 186, in execfile</div>
<div> exec(compiler(f.read(), fname, 'exec'), glob, loc)</div>
<div> File
"/Users/jvillalo/Documents/IGC/Conferences/MICCAI_2016/Gaels_code/plot_haxby_space_net.py",
line 70, in <module></div>
<div> decoder.fit(X_train, y_train)</div>
<div> File
"/Users/jvillalo/nilearn/nilearn/decoding/space_net.py",
line 783, in fit</div>
<div> multi_output=True, y_numeric=True)</div>
<div> File
"/Users/jvillalo/nilearn/nilearn/_utils/fixes/sklearn_validation.py",
line 195, in check_X_y</div>
<div> ensure_min_features)</div>
<div> File
"/Users/jvillalo/nilearn/nilearn/_utils/fixes/sklearn_validation.py",
line 97, in check_array</div>
<div> % (n_samples, shape_repr, ensure_min_samples))</div>
<div>ValueError: Found array with 0 sample(s) (shape=(0,
129600)) while a minimum of 1 is required.</div>
<div><br>
</div>
<div>/Users/jvillalo/scikit-learn/sklearn/externals/joblib/memory.py:133:
DeprecationWarning: The file
'nilearn_cache/joblib/nilearn/masking/compute_epi_mask/8ac3f6747d8c3cbe01809029506bc2c4/output.pkl'
has been generated with a joblib version less than 0.10.
Please regenerate this pickle file.</div>
<div> return numpy_pickle.load(filename, mmap_mode=mmap_mode)</div>
<div>/Users/jvillalo/scikit-learn/sklearn/externals/joblib/memory.py:133:
DeprecationWarning: The file
'nilearn_cache/joblib/nilearn/image/resampling/resample_img/ea3a4d90803321dbf749b23ff6acfa18/output.pkl'
has been generated with a joblib version less than 0.10.
Please regenerate this pickle file.</div>
<div> return numpy_pickle.load(filename, mmap_mode=mmap_mode)</div>
</div>
<div><br>
</div>
<div>-------------------------------------------------------------</div>
</div>
<br>
<fieldset class="mimeAttachmentHeader"></fieldset>
<br>
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</blockquote>
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