ENH: include eeglab in tests
NF: hstack of NIML datasets
DOC: very minor
ENH: allow for unicode types in NIML input when type is determined
BF: properly support sparse NIML datasets when stacking
ENH: raise an error when stacking NIML datasets and pad_to is not specified with sparse input
Merge branch 'master' of https://github.com/PyMVPA/PyMVPA
RF+NF: separate _pretrain function for Kohonen SOM, support for distance measure other than Euclidian. Addresses http://lists.alioth.debian.org/pipermail/pkg-exppsy-pymvpa/2013q1/002480.html raised by Ike Hall
PL+DOC: minor
PL: minor
NF: product flatten mapper to flatten multiple dimensions
DOC: change the year in copyright info
NF: stacking datasets based on unique feature/sample attribute values
BF: only keep single values in feature and sample attributes when stacking
PL: minor
NF: chain measure (like chain mapper). TODO: unit test
ENH: require in case of Dataset that it only has one feature
BF: dataset is ok to return 2D results - disabled the earlier (more stringent) check
PL: minor
NF: single subject RSM