Overview of the plotting tools of black-it
import numpy as np
import matplotlib.pyplot as plt
Let us assume we have performed a calibration and we have stored our results in a given folder. In this tutotial we will go through the black-it tools to quickly analyse the calibration results.
saving_folder = "saving_folder"
Analyse the action of the different samplers
from black_it.plot.plot_results import plot_sampling
plot_sampling(saving_folder)
from black_it.plot.plot_results import plot_sampling_interact
plot_sampling_interact(saving_folder)
Analyse the loss landscape explored
from black_it.plot.plot_results import plot_losses
plot_losses(saving_folder)
from black_it.plot.plot_results import plot_losses_interact
plot_losses_interact(saving_folder)
Analyse the calibration convergence
from black_it.plot.plot_results import plot_convergence
plot_convergence(saving_folder)
