mse.mkl: Compute mean square error(MSE) and mean kL divergence (MKL)
In linxihui/NNLM: Fast and Versatile Non-Negative Matrix Factorization
Description
Usage
Arguments
Value
Description
Compute mean square error(MSE) and mean kL divergence (MKL)
Usage
1
Arguments
obs
observed value
pred
prediction/estimate
na.rm
if to remove NAs
show.warning
if to show warning if any
Value
A vector of c(MSE, MKL)
linxihui/NNLM documentation built on Oct. 15, 2021, 8:59 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
Description
Compute mean square error(MSE) and mean kL divergence (MKL)
Usage
1 |
Arguments
obs |
observed value |
pred |
prediction/estimate |
na.rm |
if to remove NAs |
show.warning |
if to show warning if any |
Value
A vector of c(MSE, MKL)
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.