def make_plots(self):
"""Generate scaling model component plot data."""
d = OrderedDict()
combined_plots = make_combined_plots(self.data)
if combined_plots:
d.update(combined_plots)
for key in sorted(self.data.keys()):
scaling_model_plots = plot_scaling_models(self.data[key])
for plot in scaling_model_plots.values():
plot["layout"]["title"] += " (dataset %s)" % key
for name, plot in six.iteritems(scaling_model_plots):
d[name + "_" + str(key)] = plot
graphs = {"scaling_model": d}
return graphs
def make_scaling_model_plots(experiments):
"""Collect scaling model plots for html report."""
data = {i: e.scaling_model.to_dict() for i, e in enumerate(experiments)}
d = OrderedDict()
combined_plots = make_combined_plots(data)
if combined_plots:
d.update(combined_plots)
for key in sorted(data.keys()):
scaling_model_plots = plot_scaling_models(data[key])
for plot in scaling_model_plots.values():
plot["layout"]["title"] += f" (dataset {key})"
for name, plot in scaling_model_plots.items():
d[name + "_" + str(key)] = plot
graphs = {"scaling_model": d}
return graphs