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import numpy as np
from hyperactive.base import BaseExperiment
class SphereFunction(BaseExperiment):
"""A simple Sphere function.
This is a common test function for optimization
algorithms. The function is defined as the sum of the squares of
its input parameters plus a constant.
Parameters
----------
const (float)
A constant offset added to the sum of squares.
n_dim : int, optional, default=2
The number of dimensions for the Sphere function. The default is 2.
"""
def __init__(self, const, n_dim=2):
self.const = const
self.n_dim = n_dim
super().__init__()
def _paramnames(self):
return [f"x{i}" for i in range(self.n_dim)]
def _score(self, params):
return np.sum(np.array(params) ** 2) + self.const
SimonBlanke /
Hyperactive
