optim_results.plot_cost_history

optim_results.plot_cost_history(ax: axes, nitstop: int = -1, xlog: bool = False, ylog: bool = False, **ax_kwargs)[source]

Plot the optimization cost history.

Parameters:

ax (matplotlib.axes.Axes) – Target axes.
nitstop (int, optional) – Final iteration displayed.
xlog (bool, optional) – If True, use a logarithmic x-axis.
ylog (bool, optional) – If True, use a logarithmic y-axis.
**ax_kwargs (dict) – Additional plotting keyword arguments.