optuna.visualization.plot_slice¶
-
optuna.visualization.plot_slice(study: optuna.study.Study, params: Optional[List[str]] = None, *, target: Optional[Callable[[optuna.trial._frozen.FrozenTrial], float]] = None, target_name: str = 'Objective Value') → plotly.graph_objs._figure.Figure[source]¶ Plot the parameter relationship as slice plot in a study.
Note that, If a parameter contains missing values, a trial with missing values is not plotted.
Example
The following code snippet shows how to plot the parameter relationship as slice plot.
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_slice(study, params=["x", "y"])
- Parameters
study – A
Studyobject whose trials are plotted for their target values.params – Parameter list to visualize. The default is all parameters.
target – A function to specify the value to display. If it is
None, the objective values are plotted.target_name – Target’s name to display on the axis label.
- Returns
A
plotly.graph_objs.Figureobject.