Scoring methods
Contents
Scoring methods
- class Scoring[source]
Bases:
abc.ABCScoring is an abstract class defining the scoring method of DAC. It is similar to an acquisition function in BO. According to sampled points, it gives a score to a Geometry, which determines how promising it is.
Basics
- class Min[source]
Bases:
zellij.strategies.tools.scoring.Scoring- Returns
out – Minimal score found inside the fractal
- Return type
float
- class Median[source]
Bases:
zellij.strategies.tools.scoring.Scoring- Returns
out – Median score found inside the fractal
- Return type
float
- class Mean[source]
Bases:
zellij.strategies.tools.scoring.Scoring- Returns
out – Mean score found inside the fractal
- Return type
float
- class Std[source]
Bases:
zellij.strategies.tools.scoring.ScoringStandard deviation
- Returns
out – Std score found inside the fractal
- Return type
float
Fuzzy measure
- class Belief(gamma=0.5)[source]
Bases:
zellij.strategies.tools.scoring.Scoring- Returns
out – Belief score found inside the fractal
- Return type
float
Miscellaneous
- class Distance_to_the_best[source]
Bases:
zellij.strategies.tools.scoring.Scoring- Returns
out – Distance_to_the_best score found inside the fractal
- Return type
float
- class Distance_to_the_best_corrected[source]
Bases:
zellij.strategies.tools.scoring.Scoring- Returns
out – Distance_to_the_best score found inside the fractal
- Return type
float