README.md
In vincnardelli/gradient: Gradient
gradient 
Overview
gradient is a small package for efficient descent computation. Using gradient it is possible to perform steepest descent or gradient descent to fit linear models. Moreover the package contains a series of function for inspecting the convergence of the algorithm. Find out more in the vignette.
Installation
# The easiest way to get gradient is to install it from GitHub:
# install.packages("devtools")
devtools::install_github("vincnardelli/gradient")
Authors and mantainers
Alice Giampino - a.giampino@campus.unimib.it
Vincenzo Nardelli - v.nardelli2@campus.unimib.it
vincnardelli/gradient documentation built on July 30, 2020, 9:57 a.m.
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gradient
Overview
gradient is a small package for efficient descent computation. Using gradient it is possible to perform steepest descent or gradient descent to fit linear models. Moreover the package contains a series of function for inspecting the convergence of the algorithm. Find out more in the vignette.
Installation
# The easiest way to get gradient is to install it from GitHub:
# install.packages("devtools")
devtools::install_github("vincnardelli/gradient")
Authors and mantainers
Alice Giampino - a.giampino@campus.unimib.it
Vincenzo Nardelli - v.nardelli2@campus.unimib.it
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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