plot_timeline

optuna.visualization.matplotlib.plot_timeline(study)

Plot the timeline of a study.

See also

Please refer to optuna.visualization.plot_timeline() for an example.

Parameters:

study (Study) – A Study object whose trials are plotted with their lifetime.

Returns:

A matplotlib.axes.Axes object.

Return type:

Axes

Note

Added in v3.2.0 as an experimental feature. The interface may change in newer versions without prior notice. See https://github.com/optuna/optuna/releases/tag/v3.2.0.

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

/home/docs/checkouts/readthedocs.org/user_builds/optuna/checkouts/stable/docs/visualization_matplotlib_examples/optuna.visualization.matplotlib.timeline.py:29: ExperimentalWarning:

plot_timeline is experimental (supported from v3.2.0). The interface can change in the future.


<Axes: title={'center': 'Timeline Plot'}, xlabel='Datetime', ylabel='Trial'>

import time
import optuna


def objective(trial):
    x = trial.suggest_float("x", 0, 1)
    time.sleep(x * 0.1)
    if x > 0.8:
        raise ValueError()
    if x > 0.4:
        raise optuna.TrialPruned()
    return x**2


study = optuna.create_study(direction="minimize")
study.optimize(objective, n_trials=50, n_jobs=2, catch=(ValueError,))

optuna.visualization.matplotlib.plot_timeline(study)