optuna.visualization.plot_optimization_history¶

optuna.visualization.plot_optimization_history(study: optuna.study.Study) → plotly.graph_objs._figure.Figure[source]¶

Plot optimization history of all trials in a study.

Example

The following code snippet shows how to plot optimization history.

import optuna


def objective(trial):
    x = trial.suggest_uniform("x", -100, 100)
    y = trial.suggest_categorical("y", [-1, 0, 1])
    return x ** 2 + y


sampler = optuna.samplers.TPESampler(seed=10)
study = optuna.create_study(sampler=sampler)
study.optimize(objective, n_trials=10)

optuna.visualization.plot_optimization_history(study)

Parameters: study – A Study object whose trials are plotted for their objective values.
Returns: A plotly.graph_objs.Figure object.