Australian Data Mining contest entry (blending of classifiers)
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jml @ f60aa55
loadbuild
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.gitignore
.gitmodules
Makefile
README
ausdm.cc
blender.cc
blender.h
boosting_blender.cc
boosting_blender.h
classifier-config.txt
classifier_blender.cc
classifier_blender.h
compare_decompositions.cc
config.txt
data.cc
data.h
decompose.cc
decomposition.cc
decomposition.h
deep_net_blender.cc
deep_net_blender.h
dnae_decomposition.cc
dnae_decomposition.h
dnae_decomposition_test.cc
dnae_unit_tests.cc
exception_hook.cc
exception_hook.h
gated_blender.cc
gated_blender.h
loadbuild.mk
merge.cc
multiple_regression_blender.cc
multiple_regression_blender.h
notes.txt
svd_decomposition.cc
svd_decomposition.h
utils.cc
utils.h

README

This is Jeremy Barnes's entry for the AUSDM ensembling challenge.

You may use this work under the GNU Affero GPL version 3 or later.

Note that you will need to download the source for JML (Jeremy's Machine Learning library) and point to it.  That code is in a Mercurial repository at http://bitbucket.org/jeremy_barnes/jml/.

Approach
--------

To write...