invert4geom.plot_2_parameter_scores_uneven#
- plot_2_parameter_scores_uneven(study, param_names, plot_param_names=('Hyperparameter 1', 'Hyperparameter 2'), figsize=(5, 3.5), cmap=None, best='min', logx=False, logy=False, robust=False)[source]#
plot a scatter plot graph with x axis equal to parameter 1, y axis equal to parameter 2, and points colored by cross-validation scores.
- Parameters:
study (optuna.study.Study)
param_names (tuple[str, str], optional) – name to give for the parameters, by default “Hyperparameter”
figsize (tuple[float, float], optional) – size of the figure, by default (5, 3.5)
cmap (str, optional) – matplotlib colormap for scores, by default “viridis”
best (str, optional) – whether the ‘min’ or ‘max’ score is considered best, by default ‘min’
logx (bool, optional) – make the x or y axes log scale, by default False
logy (bool, optional) – make the x or y axes log scale, by default False
robust (bool, optional) – use robust color limits
- Return type: