DOC: Clean up commented code.
Merge remote branch 'origin/mh/master' into per/master

* origin/mh/master: (29 commits)
  DOC: Extend description of the hyperplane tutorial.
  RF+PL: split -> splits in sensitivities' sa (to be consistent with labels etc)
  RF: yarik is sick of lengthy and uncomprehendable reprs in failed sweepargs
  NF: config option to control R warnings (glmnet is rich on those)
  PL: some few more PL-friendliness touches to glmnet
  DOC: Ported Rajeev's demo to Python; enabled pngmath extension.
  DOC: Hyperplane demo (Matlab code)
  PL: DatasetError -- no need for manual assignment of msg + missing docstring
  PL: glmnet -- silly changes
  BF: glmnet -- puke FailedToTrainError if fails to train + import warning
  RF: disabling "retrainable" for RegressionAsClassifier for now
  1 more unittest into labile
  PL: test_clf
  BF: fixed sample_clf_reg to actually point to a classifier
  BF: just basic handling of sensitivities in sg interface
  BF: basic support in GPR to return sensitivities as Dataset + LinearGPRWeights for LinearKernel
  BF(DOC): added those 2 missing bloody docstrings
  RF+BK: Trying to update PrototypeMapper, but failed.
  RF: Make ProjectionMapper use the Mapper interface again.
  BF: just basic fix for LARS's sensitivities ... still needs to have labels assigned properly
  ...
BF: Fixing merge issue.
Merge remote branch 'origin/mh/master' into per/master

* origin/mh/master:
  BF: Fix the fix + XXX
  BF: More useful error message.
  DOC: Docs for eventrelated_dataset()
  BF: Exclude to broken code-dumps from doctests.
  BF: "half" probably means exactly that ;-)
  BF+DOC: Bunch of trivial docstring fixes.
  NF: Add rules to test the docstrings (all or individual)
  DOC: Add usage example to find_events()
  RF+DOC: Docs for find_events; API change (see example diff)
  DOC: Identify dev-website as such (on each page); minor fix.
  DOC: Use twitter for news items on the frontpage.
Merge remote branch 'origin/yoh/master' into per/master

* origin/yoh/master: (109 commits)
  BF: fixed up or RF a bit magical parameters/docstrings handling
  RF: searchlights -- consistent prefix roi_ (instead of roi in roisizes) and roi_ids instead of center_ids (which is still used in sphere_searchlight)
  RF: minimal RF of searchlight.py so we could have subclasses with specific implementations
  RF: taking larger dataset for test_hdf5_clf so error is more stable
  PL: minor in searchlight
  DOCstrings: Default: in params descriptions gets repr, no unneeded indent for ca listing
  DOC (+BF): GNB -- just minor touches
  removing test_dataset.py -- if want to look at old code -- checkout maint/0.4 ;-)
  RF: explicitly call suppress warnings for scipy if scipy is known to be present
  NF: additional testing for storing/restoring/training of classifier
  minor: for convenience bind sim_modulated to sin_modulated_train as well
  NF+BF: obj2hdf to puke when trying  to store lambdas, hdf2obj handle types, HDF5ConversionError new
  refactor_0.5.sh to reflect the fact that those were deprecated
  RF: second_axis_*_of_abs transformers deprecated into favor of *_of_abs
  NF(BR): testing storage/loading of (for now) untrained classifiers into hdf5
  RF: skip test_function_ptrs if no nifti
  RF: removing .owner from misc.state.Collection
  BF: added basic docstring for QueryEngine.__init__
  BF: for tutorial with normalizing anova scores -- temporary fix, providing attrfx=None
  BF: XXX -- ignoring clfs.spam for now in testsuite -- revert when gets present
  ...
ENH: swaroop is playing with hyperalignment trying to decrease performance to match matlab
DOC: New user.
NF: _repr() similar to _str()
RF: Uniformize repr/str/doc of splitters.
RF: Remove duplicate 'mode' argument of NoneSplitter()

That functionality is already supported by the base class (reverse).
DOC: Change user info.
BF: Allow reconstruction of built-in type from HDF5.
RF: Do not rely on '.samples' being arrays.

Instead of calling .mean(), .std(), .copy() use appropriate functions
that work with generic types and do conversions if necessary.
BF: Remove left-over print statement.
BF: Prevent acces to non-existing variable in case of LearnerError
NF: HollowSamples

Samples container to allow us to create hollow datasets that have no
samples, but are compatible with mappers.
Merge remote branch 'alioth/yoh/master' into mh/master

* alioth/yoh/master:
  PL+ENH: making once unittest more robust + pylintifications ;)
  ENH: provide exception in the warning on why c version of SMLR is NA
  BF: ensure usage of SmartVersion for nipy/rpy2
  BF: add beta/alpha to version checking
  BF: not puke if some combination of sample/chunks in fx has no samples -- they now get skipped
RF+BIG: Mapper.__call__() behaves like a generator!

That shall enable us to implement subsampling/bootstraping-type mappers,
or even Splitters as Mappers.
BF: Remove unused code.
NF: Convenience function for the sum of two Gaussians.