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"""
plot_param_importances
======================
.. autofunction:: optuna.visualization.matplotlib.plot_param_importances
The following code snippet shows how to plot hyperparameter importances.
"""
import optuna
def objective(trial):
x = trial.suggest_int("x", 0, 2)
y = trial.suggest_float("y", -1.0, 1.0)
z = trial.suggest_float("z", 0.0, 1.5)
return x**2 + y**3 - z**4
sampler = optuna.samplers.RandomSampler(seed=10)
study = optuna.create_study(sampler=sampler)
study.optimize(objective, n_trials=100)
optuna.visualization.matplotlib.plot_param_importances(study)
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