GitHub - jeremybarnes/ausdm: Australian Data Mining contest entry (blending of classifiers)

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Australian Data Mining contest entry (blending of classifiers)

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Name		Name	Last commit message	Last commit date
Latest commit History 140 Commits
jml @ f60aa55		jml @ f60aa55
loadbuild		loadbuild
report		report
.gitignore		.gitignore
.gitmodules		.gitmodules
Makefile		Makefile
README		README
ausdm.cc		ausdm.cc
blender.cc		blender.cc
blender.h		blender.h
boosting_blender.cc		boosting_blender.cc
boosting_blender.h		boosting_blender.h
classifier-config.txt		classifier-config.txt
classifier_blender.cc		classifier_blender.cc
classifier_blender.h		classifier_blender.h
compare_decompositions.cc		compare_decompositions.cc
config.txt		config.txt
data.cc		data.cc
data.h		data.h
decompose.cc		decompose.cc
decomposition.cc		decomposition.cc
decomposition.h		decomposition.h
deep_net_blender.cc		deep_net_blender.cc
deep_net_blender.h		deep_net_blender.h
dnae_decomposition.cc		dnae_decomposition.cc
dnae_decomposition.h		dnae_decomposition.h
dnae_decomposition_test.cc		dnae_decomposition_test.cc
dnae_unit_tests.cc		dnae_unit_tests.cc
exception_hook.cc		exception_hook.cc
exception_hook.h		exception_hook.h
gated_blender.cc		gated_blender.cc
gated_blender.h		gated_blender.h
loadbuild.mk		loadbuild.mk
merge.cc		merge.cc
multiple_regression_blender.cc		multiple_regression_blender.cc
multiple_regression_blender.h		multiple_regression_blender.h
notes.txt		notes.txt
svd_decomposition.cc		svd_decomposition.cc
svd_decomposition.h		svd_decomposition.h
utils.cc		utils.cc
utils.h		utils.h

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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...