# optuna.multi_objective.visualization.plot_pareto_front¶

optuna.multi_objective.visualization.plot_pareto_front(study, names=None, include_dominated_trials=False, axis_order=None)[source]

Plot the pareto front of a study.

Example

The following code snippet shows how to plot the pareto front of a study.

import optuna

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.multi_objective.create_study(["minimize", "minimize"])
study.optimize(objective, n_trials=50)

optuna.multi_objective.visualization.plot_pareto_front(study)

Parameters
Returns

A plotly.graph_objs.Figure object.

Raises

ValueError – If the number of objectives of study isn’t 2 or 3.

Return type

plotly.graph_objs._figure.Figure

Warning

Deprecated in v2.4.0. This feature will be removed in the future. The removal of this feature is currently scheduled for v4.0.0, but this schedule is subject to change. See https://github.com/optuna/optuna/releases/tag/v2.4.0.