plot_feature_importance#
- AxModelManager.plot_feature_importance(metric_name=None, subplot_spec=None, gridspec_kw=None, bar_kw=None, **figure_kw)#
Plot the importance of each varying parameter for the given metric.
- Parameters:
- metric_namestr, optional.
Name of the metric for which to determine the importances. If not specified, it will take the first objective in
self.ax_client.- subplot_specSubplotSpec, optional
A matplotlib
SubplotSpecin which to draw the axis.- gridspec_kwdict, optional
Dict with keywords passed to the
GridSpec.- bar_kwdict, optional
Dict with keywords passed to
ax.bar.- **figure_kw
Additional keyword arguments to pass to
pyplot.figure. Only used if nosubplot_specis given.
- Returns:
- Figure, Axes