optuna.visualization¶

Note

In the visualization module, the following functions use plotly to create figures, but JupyterLab cannot render them by default. Please follow this installation guide to show figures in JupyterLab.

 optuna.visualization.plot_contour Plot the parameter relationship as contour plot in a study. optuna.visualization.plot_edf Plot the objective value EDF (empirical distribution function) of a study. optuna.visualization.plot_intermediate_values Plot intermediate values of all trials in a study. optuna.visualization.plot_optimization_history Plot optimization history of all trials in a study. optuna.visualization.plot_parallel_coordinate Plot the high-dimentional parameter relationships in a study. optuna.visualization.plot_param_importances Plot hyperparameter importances. optuna.visualization.plot_slice Plot the parameter relationship as slice plot in a study. optuna.visualization.is_available Returns whether visualization with plotly is available or not.

Note

The following matplotlib module uses Matplotlib as a backend.