Fixed that BinaryFile::get_sparse_matrix() did not set num_feat properly.
Fixed LBPPyrDotFeature
Add BaggingMachine
Add basic label combination rule implementations for ensemble learning
Add MockMachine, MockFeature, MockLabels
make n a local variable to fix name clash
max product inference for factor graph model
Merge pull request #1444 from tklein23/num_features_in_binaryfile

Fixed that BinaryFile::get_sparse_matrix() did not set num_feat properly
Fixing segfault.  Off-by-one when setting number of dimensions in StreamingSparseFeatures.
Simple refactoring: Reuse get_dimension() from SparseVector to reduce code duplication.
Simple refactoring: Reuse dense_dot()/sparse_dot() from SparseVector to reduce code duplication.
* Fixed broken unit test (number of non-zero-entries != number of dimensions).
* Reformatting and fixing of debug output.
Thanks to HeikoS: Disabling reference counting for temporary sparse vectors.
Merge pull request #1445 from van51/feature/lbppyr

Fixed LBPPyrDotFeatures
Merge pull request #1443 from tklein23/fix_streaming_sparse

Fixing segfault. Off-by-one when setting number of dimensions in StreamingSparseFeatures.
Add Ensemble.i and Ensemble_includes.i to modshogun.i
Fix CBaggingMachine::apply_get_outputs
Add subset for the labels as well in CBaggingMachine::train_machine
Fix RubyNArray find path issue #1438
Add archdir among the search paths, as on debian squeeze that's where
narray files reside
fixed clone error via putting CDynamicObjectArray on heap rather than stack, which caused memory errors in parameter registration
removed unset generic, not needed
added JediSep ICA algorithm
JediSep cleanup