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"""
plot_hypervolume_history
========================
.. autofunction:: optuna.visualization.plot_hypervolume_history
The following code snippet shows how to plot optimization history.
"""
import optuna
from plotly.io import show
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 = [100.0, 50.0]
fig = optuna.visualization.plot_hypervolume_history(study, reference_point)
show(fig)
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