cost_histories (list) – The values of the cost histories.
Must be either a list of a single cost history or a list of several cost histories,
where each individual cost history is a list.
For example, a single cost history can be passed
cost_histories = [0.1, 0.05, 0.02]) or multiple cost histories
cost_histories = [[0.1, 0.05, 0.02], [0.23, 0.2, 0.14, 0.1, 0.04, 0.015]]).
labels (list[str], optional) – The labels corresponding to the individual cost histories in cost_histories.
If you provide this, it must be the same length as cost_histories.
y_axis_log (bool, optional) – Whether the y-axis is log-scale.
Defaults to False.
initial_iteration (int, optional) – Where the iteration count on the x-axis starts from.
This is useful if you want to include the initial cost—before optimization—at
iteration 0 or if you pass cost histories that start at a later iteration.
Defaults to 1.
figure (matplotlib.figure.Figure, optional) – A matplotlib Figure in which to place the plots.
If passed, its dimensions and axes will be overridden.