[Neuroimaging] [Nilearn] Problem with joblib when running the SpaceNet classifier

[Julio Villalon]

Hi Nilearn team,

I am trying to run the SpaceNet example:

https://nilearn.github.io/auto_examples/02_decoding/plot_haxby_space_net.html#sphx-glr-auto-examples-02-decoding-plot-haxby-space-net-py

And I am getting the following error:

' ' '
ValueError: Found array with 0 sample(s) (shape=(0, 129600)) while a
minimum of 1 is required.

/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.
  return numpy_pickle.load(filename, mmap_mode=mmap_mode)
' ' '

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.

Can anyone point me in the right direction of how to solve this problem?

Thank you

Julio Villalon
USC Imaging Genetics Center

This is full error message:
------------------------------------------------
Traceback (most recent call last):
  File
"/Users/jvillalo/anaconda/lib/python3.5/site-packages/IPython/core/interactiveshell.py",
line 2481, in safe_execfile
    self.compile if kw['shell_futures'] else None)
  File
"/Users/jvillalo/anaconda/lib/python3.5/site-packages/IPython/utils/py3compat.py",
line 186, in execfile
    exec(compiler(f.read(), fname, 'exec'), glob, loc)
  File
"/Users/jvillalo/Documents/IGC/Conferences/MICCAI_2016/Gaels_code/plot_haxby_space_net.py",
line 70, in <module>
    decoder.fit(X_train, y_train)
  File "/Users/jvillalo/nilearn/nilearn/decoding/space_net.py", line 783,
in fit
    multi_output=True, y_numeric=True)
  File
"/Users/jvillalo/nilearn/nilearn/_utils/fixes/sklearn_validation.py", line
195, in check_X_y
    ensure_min_features)
  File
"/Users/jvillalo/nilearn/nilearn/_utils/fixes/sklearn_validation.py", line
97, in check_array
    % (n_samples, shape_repr, ensure_min_samples))
ValueError: Found array with 0 sample(s) (shape=(0, 129600)) while a
minimum of 1 is required.

/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.
  return numpy_pickle.load(filename, mmap_mode=mmap_mode)
/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.
  return numpy_pickle.load(filename, mmap_mode=mmap_mode)

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