prepare_model {grouper} | R Documentation |
Initialise optimisation model
Description
Initialise optimisation model
Usage
prepare_model(
df_list,
yaml_list,
assignment = c("diversity", "preference"),
w1 = 0.5,
w2 = 0.5
)
Arguments
df_list |
The output list from extract_student_info(). |
yaml_list |
The output list from extract_params_yaml(). |
assignment |
Character string indicating the type of model that this dataset is for. The argument is either 'preference' or 'diversity'. Partial matching is fine. |
w1 , w2 |
Numeric values between 0 and 1. Should sum to 1. These weights correspond to the importance given to the diversity- and skill-based portions in the objective function. |
Value
An ompr model.
[Package grouper version 0.3.1 Index]