divergence: Calculate Divergence
In jbkunst/riskr: Functions to Facilitate the Evaluation, Monitoring and Modeling process
Description
Usage
Arguments
Value
Examples
Description
Calculate the divergence between empirical distributions
Usage
1
divergence(target, score)
Arguments
target
A numeric binary vector (0, 1)
score
A numeric vector containing scores or probabilities
Value
The Gini Coefficient
Examples
1
2
3
4
5
6
data(predictions)
score <- predictions$score
target <- predictions$target
divergence(target, score)
jbkunst/riskr documentation built on May 18, 2019, 7 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 Examples
Description
Calculate the divergence between empirical distributions
Usage
1 | divergence(target, score)
|
Arguments
target |
A numeric binary vector (0, 1) |
score |
A numeric vector containing scores or probabilities |
Value
The Gini Coefficient
Examples
1 2 3 4 5 6 | data(predictions)
score <- predictions$score
target <- predictions$target
divergence(target, score)
|
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.