This is an internal function
Usage
get_reward(
new_anchor,
round,
dist_func,
model_func,
dataset,
instance_id,
class_ind = 1,
verbose
)Arguments
- new_anchor
Object of class anchor.
- round
Numerical. A value to round the coverage by.
- dist_func
Function that takes n as an argument and returns a data.frame of size n x p where p is the number of variables in the dataset
- model_func
Function that takes in a data.frame of size m x p where m is the number of rows and p is the number of variables in the dataset and returns a vector of predictions of size m x 1
- dataset
Data frame used in the algorithm
- instance_id
The row index of the target instance in the
datasetargument- class_ind
Numeric. The index of the required class when ordered alphabetically
- verbose
Logical. Whether to print out diagnostics of the Multi-Armed Bandit Algorithm
