LogLossBinary: Compute Log Loss
In joeornstein/SRP: Stacked Regression and Poststratification
Description
Usage
Arguments
Value
View source: R/stackingFunctions.R
Description
Computes the log loss measure, given predicted and actual values
Usage
1
LogLossBinary(actual, predicted, eps = 1e-15)
Arguments
actual
A vector of actual values
predicted
A vector of predicted values
eps
A very small number
Value
Log Loss
joeornstein/SRP documentation built on Oct. 15, 2020, 8:30 p.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
View source: R/stackingFunctions.R
Description
Computes the log loss measure, given predicted and actual values
Usage
1 | LogLossBinary(actual, predicted, eps = 1e-15)
|
Arguments
actual |
A vector of actual values |
predicted |
A vector of predicted values |
eps |
A very small number |
Value
Log Loss
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.