select_max: select maximum
In bobdouma/kappa_multinomial: Evaluate the performance of probabilistic multinomial models
Description
Usage
Arguments
Details
Value
Author(s)
Examples
Description
This function select the class with highest probability in a sample. If multiple classes have the same heighest probability then one is randomly chosen
Usage
1
select_max(x)
Arguments
x
a vector with sample predictions: the elements represent the classes of outcomes.
Details
helper function for the tutorial
Value
returns a vector with the following elements:
y
Author(s)
Bob Douma
Examples
1
2
3
library(gtools)
pred = rdirichlet(100, c(0.1,0.1,0.5,0.5)) # generate multinomial probabilties with four classes
pred.bin = multinomialperform:::prob_to_binary(pred)
bobdouma/kappa_multinomial documentation built on May 12, 2019, 11:28 p.m.
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Description Usage Arguments Details Value Author(s) Examples
Description
This function select the class with highest probability in a sample. If multiple classes have the same heighest probability then one is randomly chosen
Usage
1 | select_max(x)
|
Arguments
x |
a vector with sample predictions: the elements represent the classes of outcomes. |
Details
helper function for the tutorial
Value
returns a vector with the following elements:
y
Author(s)
Bob Douma
Examples
1 2 3 | library(gtools)
pred = rdirichlet(100, c(0.1,0.1,0.5,0.5)) # generate multinomial probabilties with four classes
pred.bin = multinomialperform:::prob_to_binary(pred)
|
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.
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