class_logloss: Calculate the two-class logloss
In alexWhitworth/glmEnsemble: Builds GLM ensemble models in parallel
View source: R/accuracy_fncs.R
Description
Calculates the logloss defined:
\frac{1}{N}∑_i^N y_{i} log(p_i) similar to multiclass_logloss
but for a two-class problem
Usage
1
class_logloss(p_vec, class_vec, w_vec = NULL)
Arguments
p_vec
a vector of predicted probabilities for the positive class
class_vec
A vector of class labels
w_vec
An optional vector of observation weights
alexWhitworth/glmEnsemble documentation built on Nov. 5, 2021, 6:55 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.
View source: R/accuracy_fncs.R
Description
Calculates the logloss defined:
\frac{1}{N}∑_i^N y_{i} log(p_i) similar to multiclass_logloss
but for a two-class problem
Usage
1 | class_logloss(p_vec, class_vec, w_vec = NULL)
|
Arguments
p_vec |
a vector of predicted probabilities for the positive class |
class_vec |
A vector of class labels |
w_vec |
An optional vector of observation weights |
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.