1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
|
"""
plot_hypervolume_history
========================
.. autofunction:: optuna.visualization.matplotlib.plot_hypervolume_history
The following code snippet shows how to plot optimization history.
"""
import optuna
import matplotlib.pyplot as plt
def objective(trial):
x = trial.suggest_float("x", 0, 5)
y = trial.suggest_float("y", 0, 3)
v0 = 4 * x ** 2 + 4 * y ** 2
v1 = (x - 5) ** 2 + (y - 5) ** 2
return v0, v1
study = optuna.create_study(directions=["minimize", "minimize"])
study.optimize(objective, n_trials=50)
reference_point=[100, 50]
optuna.visualization.matplotlib.plot_hypervolume_history(study, reference_point)
plt.tight_layout()
|
