4fb1dc4553
More technically correct description.
...
CCA is an algorithm that performs a dimensionality reduction
based on two "views" of the same dataset. The two views can
be both unsupervised if we want. It just happens here that
we use X and Y as the views.
2012-01-16 22:49:03 +09:00
d2aa4c6269
ENHanced the multilabel example aspect
2012-01-10 22:51:55 +02:00
96d6060cd7
pep8
2011-12-23 10:12:26 -08:00
955fdf8e16
Change seed to make example behave better
2011-12-22 23:08:06 +01:00
1382b2649c
Use CCA as well in multilabel example.
2011-12-22 15:12:22 +01:00
d0ac763f2e
Allow unlabeled samples in multilabel ex, collab between @vene and @mblondel on the plane
2011-12-22 12:42:49 +01:00
42b47ac72b
DOC: really add example to multiclass.rst
2011-12-21 16:47:18 +01:00
400093f095
ENH: Really added the synthetic example
2011-12-21 13:36:24 +01:00
Mathieu Blondel