def plot_results(self, samples):
def should_plot(name):
return conf.instance["visualize"]["plots_search"]["emcee"][name]
plotter = ZeusPlotter(samples=samples,
output=Output(path=path.join(
self.paths.image_path, "search"),
format="png"))
if should_plot("corner"):
plotter.corner()
if should_plot("trajectories"):
plotter.trajectories()
if should_plot("likelihood_series"):
plotter.likelihood_series()
if should_plot("time_series"):
plotter.time_series()
def plot_results(self, samples):
def should_plot(name):
return conf.instance["visualize"]["plots_search"]["pyswarms"][name]
plotter = PySwarmsPlotter(samples=samples,
output=Output(path=path.join(
self.paths.image_path, "search"),
format="png"))
if should_plot("contour"):
plotter.contour()
if should_plot("cost_history"):
plotter.cost_history()
if should_plot("trajectories"):
plotter.trajectories()
if should_plot("time_series"):
plotter.time_series()
def plot_results(self, samples):
if not samples.pdf_converged:
return
def should_plot(name):
return conf.instance["visualize"]["plots_search"]["ultranest"][name]
plotter = UltraNestPlotter(
samples=samples,
output=Output(path=path.join(self.paths.image_path, "search"), format="png")
)
if should_plot("cornerplot"):
plotter.cornerplot()
if should_plot("runplot"):
plotter.runplot()
if should_plot("traceplot"):
plotter.traceplot()