sureshaks/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>
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Package details |
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| Author | Akshay Suresh, Siddhesh Acharekar, Hsiangwei Chao, Shiva Yogi Biradar |
| Maintainer | Akshay Suresh<suresh.aks@husky.neu.edu> |
| License | MIT + file LICENSE |
| Version | 1.0 |
| Package repository | View on GitHub |
| Installation |
Install the latest version of this package by entering the following in R:
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