realML primitives

realML.matrix: fast least absolute deviations regression, fast robust (entrywise-l1 norm) low-rank matrix decomposition, sufficient dimensionality reduction (non-linear low-rank factorization)
realML.kernel: preconditioned Gaussian and Polynomial regression, tensor machines for adaptive polynomial features

Name		Name	Last commit message	Last commit date
Latest commit History 640 Commits
realML		realML
.gitignore		.gitignore
LICENSE		LICENSE
README.md		README.md
genjson.py		genjson.py
run_icsi.sh		run_icsi.sh
run_submission.sh		run_submission.sh
setup.cfg		setup.cfg
setup.py		setup.py
working_notes.md		working_notes.md

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