optuna.visualization.matplotlib

Note

The following functions use Matplotlib as a backend.

optuna.visualization.matplotlib.plot_contour	Plot the parameter relationship as contour plot in a study with Matplotlib.
optuna.visualization.matplotlib.plot_edf	Plot the objective value EDF (empirical distribution function) of a study with Matplotlib.
optuna.visualization.matplotlib.plot_hypervolume_history	Plot hypervolume history of all trials in a study with Matplotlib.
optuna.visualization.matplotlib.plot_intermediate_values	Plot intermediate values of all trials in a study with Matplotlib.
optuna.visualization.matplotlib.plot_optimization_history	Plot optimization history of all trials in a study with Matplotlib.
optuna.visualization.matplotlib.plot_parallel_coordinate	Plot the high-dimensional parameter relationships in a study with Matplotlib.
optuna.visualization.matplotlib.plot_param_importances	Plot hyperparameter importances with Matplotlib.
optuna.visualization.matplotlib.plot_pareto_front	Plot the Pareto front of a study.
optuna.visualization.matplotlib.plot_rank	Plot parameter relations as scatter plots with colors indicating ranks of target value.
optuna.visualization.matplotlib.plot_slice	Plot the parameter relationship as slice plot in a study with Matplotlib.
optuna.visualization.matplotlib.plot_terminator_improvement	Plot the potentials for future objective improvement.
optuna.visualization.matplotlib.plot_timeline	Plot the timeline of a study.
optuna.visualization.matplotlib.is_available	Returns whether visualization with Matplotlib is available or not.