get_predictions {CARRoT}  R Documentation 
Predictions for multinomial regression
Description
Function which makes a prediction for multinomial/logistic regression based on the given cutoff value and probabilities.
Usage
get_predictions(p,k,cutoff,cmode,mode)
Arguments
p 
probabilities of the outcomes for the test set given either by an array (logistic regression) or by a matrix (multinomial regression) 
k 
size of the test set 
cutoff 
cutoff value of the probability 
cmode 

mode 

Value
Outputs the array of the predictions of the size of p
.
See Also
Examples
#binary mode
get_predictions(runif(20,0.4,0.6),20,0.5,'det','binary')
#creating a dataset for multinomial mode
p1<runif(20,0.4,0.6)
p2<runif(20,0.1,0.2)
p3<1p1p2
#running the function
get_predictions(matrix(c(p1,p2,p3),ncol=3),20,0.5,'det','multin')
[Package CARRoT version 3.0.2 Index]