Colors Bob¶
This dataset consists of colors prepared by mixing varying amounts of 5 colored dyes (red, orange, yellow, blue, green). The parameters represent fractions of each dye used in a mixture. The target is the normalized green-like RGB value [0.16, 0.56, 0.28]. Experiments are performed using the Bayesian Optimized Bartender (BOB). 1
The dataset includes 241 samples with four parameters and one objective.
Feature |
Kind |
Settings |
Description |
---|---|---|---|
red |
continuous |
[ 0, 1] |
amount of red |
orange |
continuous |
[ 0, 1] |
amount of orange |
yellow |
continuous |
[ 0, 1] |
amount of yellow |
blue |
continuous |
[ 0, 1] |
amount of blue |
green |
continuous |
[ 0, 1] |
amount of green |
Objective |
Kind |
Goal |
---|---|---|
distance to green |
continuous |
minimize |
Reference
- 1
L.M. Roch, F. Häse, C. Kreisbeck, T. Tamayo-Mendoza, L.P.E. Yunker, J.E. Hein, A. Aspuru-Guzik. ChemOS: Orchestrating autonomous experimentation. Science Robotics (2018), 3(19), eaat5559.