quadratic_loss: Loss functions from hw1 - related to linear regression...
In tbonza/supml: "Algorithms for Supervised Machine Learning"
Description
Usage
Arguments
Value
Examples
Description
Related to Mean Squared Error, L2 norm
Usage
1
quadratic_loss(e, delta = 0)
Arguments
e
vector of error terms Yi - Y^hat_i
Value
quadratic loss error
Examples
1
2
3
4
5
e <- matrix(data=0, nrow=10,ncol=1)
quadratic_loss(e)
e <- rnorm(10, 0, 1)
quadratic_loss(e)
tbonza/supml documentation built on May 17, 2019, 3:14 a.m.
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.
Description Usage Arguments Value Examples
Description
Related to Mean Squared Error, L2 norm
Usage
1 | quadratic_loss(e, delta = 0)
|
Arguments
e |
vector of error terms Yi - Y^hat_i |
Value
quadratic loss error
Examples
1 2 3 4 5 | e <- matrix(data=0, nrow=10,ncol=1)
quadratic_loss(e)
e <- rnorm(10, 0, 1)
quadratic_loss(e)
|
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.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.