Description:
surfaces 0.5.1
Surfaces
A collection and visualization of single objective black-box functions for optimization benchmarking
Visualizations
Objective Function
Heatmap
Surface Plot
Sphere function
Rastrigin function
Ackley function
Rosenbrock function
Beale function
Himmelblaus function
Hölder Table function
Cross-In-Tray function
Installation
The most recent version of Surfaces is available on PyPi:
pip install surfaces
Example
import numpy as np
from surfaces.mathematical_functions import SphereFunction, AckleyFunction
from surfaces.visualize import plotly_surface
sphere_function = SphereFunction(n_dim=2, metric="score")
ackley_function = AckleyFunction(metric="loss")
step_ = 0.05
min_ = 10
max_ = 10
search_space = {
"x0": np.arange(-min_, max_, step_),
"x1": np.arange(-min_, max_, step_),
}
plotly_surface(sphere_function.objective_function, search_space).show()
plotly_surface(ackley_function.objective_function, search_space).show()
License
For personal and professional use. You cannot resell or redistribute these repositories in their original state.
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