plotLoss

plotLoss.rlm

plotLoss.default

object

Plot the result of loss function vs number of iterations.

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>.

Akshay Suresh

rcane

Different Numeric Optimizations to Estimate Parameter
Coefficients

plotLoss function

<ul>
<li><code>rlm</code>: Plot loss vs iteration of rlm object</li>
<li><code>default</code>: Plot loss vs iteration</li>
</ul>

plotLoss: plotLoss: Plot loss vs iteration graph

Description

Usage

Arguments

Methods (by class)