tabensemb.trainer.Trainer.plot_kde_all#

method

Trainer.plot_kde_all(imputed=False, fontsize=12, get_figsize_kwargs: Dict | None = None, figure_kwargs: Dict | None = None, savefig_kwargs: Dict | None = None, save_show_close: bool = True, tqdm_active: bool = False, **kwargs) Figure[source]#

Plot the kernel density estimation for each feature in the tabular data.

Parameters:
imputed

Whether the imputed dataset should be considered.

figure_kwargs

Arguments for plt.figure.

fontsize

plt.rcParams["font.size"]

get_figsize_kwargs

Arguments for tabensemb.utils.utils.get_figsize().

savefig_kwargs

Arguments for plt.savefig

save_show_close

Whether to save, show (in the notebook), and close the figure, or return the matplotlib.figure.Figure instance.

tqdm_active

Whether to use a tqdm progress bar.

**kwargs

Arguments for plot_kde().

Returns:
matplotlib.figure.Figure

The figure if save_show_close is False.