predict_GUESS {CalibratR} | R Documentation |
returns calibrated predictions for the instances new
using the trained GUESS calibration model build_guess_object
.
Two different evaluation methods are available.
Method 1: returns the p-value for the score new
under the distribution that is handed over in the build_guess_object
Method 2: returns the probability density value for the score new
under the distribution that is handed over in the build_guess_object
predict_GUESS(build_guess_object, new, density_evaluation = 2,
return_class_density = FALSE)
build_guess_object |
output from the |
new |
vector of uncalibrated probabilities |
density_evaluation |
which density evaluation method should be used to infer calculate probabilities, Default: 2 |
return_class_density |
if set to TRUE, class densities p(x|class) are returned, Default: FALSE |
dens_case
and dens_control
are only returned when return_class_density
is set to TRUE
a list object containing the following components:
predictions |
contains a vector of calibrated predictions |
pred_idx |
which density evaluation method was used |
significance_test_set |
the percentage of |
dens_case |
a vector containing the p(x|case) values |
dens_control |
a vector containing the p(x|control) values |