Struct coco_rs::Observer [−][src]
pub struct Observer { /* fields omitted */ }Expand description
An observer to log results in COCO’s data format.
Can be provided to Suite::next_problem and it will automatically be attached to the returned problem.
Implementations
Creates a new observer.
observer_options
A string of pairs “key: value” used to pass the options to the observer. Some observer options are general, while others are specific to some observers. Here we list only the general options, see observer_bbob, observer_biobj and observer_toy for options of the specific observers.
- “result_folder: NAME” determines the folder within the “exdata” folder into which the results will be output. If the folder with the given name already exists, first NAME_001 will be tried, then NAME_002 and so on. The default value is “default”.
- “algorithm_name: NAME”, where NAME is a short name of the algorithm that will be used in plots (no spaces are allowed). The default value is “ALG”.
- “algorithm_info: STRING” stores the description of the algorithm. If it contains spaces, it must be surrounded by double quotes. The default value is “” (no description).
- “number_target_triggers: VALUE” defines the number of targets between each 10^i and 10^(i+1) (equally spaced in the logarithmic scale) that trigger logging. The default value is 100.
- “target_precision: VALUE” defines the precision used for targets (there are no targets for abs(values) < target_precision). The default value is 1e-8.
- “number_evaluation_triggers: VALUE” defines the number of evaluations to be logged between each 10^i and 10^(i+1). The default value is 20.
- “base_evaluation_triggers: VALUES” defines the base evaluations used to produce an additional evaluation-based logging. The numbers of evaluations that trigger logging are every base_evaluation * dimension * (10^i). For example, if base_evaluation_triggers = “1,2,5”, the logger will be triggered by evaluations dim1, dim2, dim5, 10dim1, 10dim2, 10dim5, 100dim1, 100dim2, 100dim*5, … The default value is “1,2,5”.
- “precision_x: VALUE” defines the precision used when outputting variables and corresponds to the number of digits to be printed after the decimal point. The default value is 8.
- “precision_f: VALUE” defines the precision used when outputting f values and corresponds to the number of digits to be printed after the decimal point. The default value is 15.
- “precision_g: VALUE” defines the precision used when outputting constraints and corresponds to the number of digits to be printed after the decimal point. The default value is 3.
- “log_discrete_as_int: VALUE” determines whether the values of integer variables (in mixed-integer problems) are logged as integers (1) or not (0 - in this case they are logged as doubles). The default value is 0.
Prints where the result is written to.