Aloha objective function

About

This toy objective function takes 5-letter sequences (in all-caps) and returns the distance to the string “ALOHA”.

Prerequisites

None, this function should always run out-of-the-box

How to run

import numpy as np
from poli.objective_repository import AlohaProblemFactory, AlohaBlackBox

# Creating the black box
f = AlohaBlackBox()

# Creating a problem
problem = AlohaProblemFactory().create()
f, x0 = problem.black_box, problem.x0

# Example input:
x = np.array(
    [["A", "L", "O", "O", "F"]]
)  # must be of shape [b, L], in this case [1, 5].

# Querying:
print(f(x))  # Should be 3 (A, L, and the first O).

How to cite

If you use this black box, we expect you to cite the following resources:

References as text

[1] González-Duque, M., Bartels, S., & Michael, R. (2024). poli: a libary of discrete sequence objectives [Computer software]. MachineLearningLifeScience/poli

References as BibTeX

@software{Gonzalez-Duque:poli:2024,
author = {González-Duque, Miguel and Bartels, Simon and Michael, Richard},
month = jan,
title = {{poli: a libary of discrete sequence objectives}},
url = {https://github.com/MachineLearningLifeScience/poli},
version = {0.0.1},
year = {2024}
}