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 (
Study)param_names (
tuple[str,str]) – name to give for the parameters, by default “Hyperparameter”figsize (
tuple[float,float]) – size of the figure, by default (5, 3.5)cmap (
str|None) – matplotlib colormap for scores, by default “viridis”best (
str) – whether the ‘min’ or ‘max’ score is considered best, by default ‘min’logx (
bool) – make the x or y axes log scale, by default Falselogy (
bool) – make the x or y axes log scale, by default Falserobust (
bool) – use robust color limits
- Return type: