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 SubplotSpec in 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 no subplot_spec is given.

Returns:
Figure, Axes