rcane: Different Numeric Optimizations to Estimate Parameter Coefficients

There are different numeric optimizations which are used in order to estimate coefficients in models such as linear regression and neural networks. This package covers parameter estimation in linear regression using different methods such as batch gradient descent, stochastic gradient descent, minibatch gradient descent and coordinate descent. Kiwiel, Krzysztof C (2001) <doi:10.1007/PL00011414> Yu Nesterov (2004) <ISBN:1-4020-7553-7> Ferguson, Thomas S (1982) <doi:10.1080/01621459.1982.10477894> Zeiler, Matthew D (2012) <arXiv:1212.5701> Wright, Stephen J (2015) <arXiv:1502.04759>.

Package details

AuthorAkshay Suresh, Siddhesh Acharekar, Hsiangwei Chao, Shiva Yogi Biradar
MaintainerAkshay Suresh<suresh.aks@husky.neu.edu>
LicenseMIT + file LICENSE
Package repositoryView on CRAN
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rcane documentation built on May 1, 2019, 10:11 p.m.