Drainable One-Pot Bayesian Optimization
This code is for a ternary mixture.
Python >= 3.7
drainage_index: int (parameter determining the maximum amount for drainage)
delta: int (minimum unit of injection amounts)
add_max: float (parameter determining the maximum amount for injection)
The target dataset is prepared as data.csv.
The example is as follows.
| objective | amount1 | amount2 | amount3 |
|---|---|---|---|
| 5 | 1 | 0 | 0 |
| 2 | 0 | 1 | 0 |
| 4 | 0 | 0 | 1 |
The final row indicates the present objective function value and amounts of liquid samples.
python DOPBO.py
This project is licensed under the terms of the MIT license.