[pymvpa] custom cross-validation procedure: train on individual blocks, test on averaged blocks?

[e c]

print dataset.summary() yields:

Counts of targets in each chunk:
  chunks\targets  HI  HO
                 --- ---
       0.0        3   2
       1.0        3   3
       2.0        3   3
       3.0        3   3
       4.0        2   3
       5.0        3   2
       6.0        3   3
       7.0        3   2
       8.0        3   3
       9.0        2   2

Summary for targets across chunks
  targets mean  std min max #chunks
    HI     2.8  0.4  2   3     10
    HO     2.6 0.49  2   3     10

Summary for chunks across targets
  chunks mean std min max #targets
    0     2.5 0.5  2   3      2
    1      3   0   3   3      2
    2      3   0   3   3      2
    3      3   0   3   3      2
    4     2.5 0.5  2   3      2
    5     2.5 0.5  2   3      2
    6      3   0   3   3      2
    7     2.5 0.5  2   3      2
    8      3   0   3   3      2
    9      2   0   2   2      2
Sequence statistics for 54 entries from set ['HI', 'HO']
Counter-balance table for orders up to 2:
Targets/Order O1     |  O2     |
     HI:      14 14  |  13 15  |
     HO:      14 11  |  15  9  |
Correlations: min=-0.26 max=0.18 mean=-0.019 sum(abs)=6.6
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