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MochiMochi is an Online Machine Learning Library in C++14.
Eigen 3.2.3
Boost 1.58
This Library is consisted of header files.
You should be able to set the environment variable as below:
export CPATH=$CPATH:/path/to/MochiMochi
Show examples.
ADAM: A METHOD FOR STOCHASTIC OPTIMIZATION
http://arxiv.org/pdf/1412.6980v4.pdf
Adaptive Subgradient Methods for Online Learning and Stochastic Optimization
Adagarad = Adaptive Gradian
RDA = Regularized Dual Averaging
http://www.magicbroom.info/Papers/DuchiHaSi10.pdf
Adaptive Regularization of Weight Vectors
http://www.cs.jhu.edu/~mdredze/publications/nips09_arow.pdf
Exact Soft Confidence-Weighted Learning
http://icml.cc/2012/papers/86.pdfs
Nomal Herd
Learning via Gaussian Herding
http://webee.technion.ac.il/people/koby/publications/gaussian_mob_nips10.pdf
Passive Aggressive
http://webee.technion.ac.il/people/koby/publications/crammer06a.pdf
The MIT License (MIT)