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r / packages / r-higrad

Implements the Hierarchical Incremental GRAdient Descent (HiGrad) algorithm, a first-order algorithm for finding the minimizer of a function in online learning just like stochastic gradient descent (SGD). In addition, this method attaches a confidence interval to assess the uncertainty of its predictions. See Su and Zhu (2018) <arXiv:1802.04876> for details.

Type Size Name Uploaded Downloads Labels
conda 47.3 kB | noarch/r-higrad-0.1.0-r43h142f84f_0.tar.bz2  1 year and 9 days ago 19 main
conda 46.9 kB | noarch/r-higrad-0.1.0-r42h142f84f_0.tar.bz2  2 years and 6 months ago 49 main
conda 46.9 kB | noarch/r-higrad-0.1.0-r36h6115d3f_0.tar.bz2  4 years and 10 months ago 116 main

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