def plot_results(results):
# Make plot to compare different methods
old_font_size = pl.rcParams['font.size']
pl.rcParams['font.size'] = 8
pl.rcParams['figure.subplot.bottom'] = .3
pl.figure(figsize=(4.652, 3.2))
positions = range(len(results))
violin_plot(pl.gca(), [LLs for title, LLs in results], positions)
pl.gca().xaxis.set_ticks(positions)
pl.gca().xaxis.set_ticklabels([title for title, LLs in results])
pl.ylabel('Predictive log likelihood of held-out test data')
pl.savefig('method-comparison.eps')
pl.clf()
pl.rcParams['font.size'] = old_font_size
ax = pl.gca()
ax.set_xticks(epsilon_range)
ax.set_xticklabels(str_epsilons)
pl.savefig(output_filename('epsilon-0-fraction-mismatch.eps'))
pl.close()
#
# Plot the epsilon iteration relative speeds in a violin plot
#
pl.figure()
correct_axes()
violin_plot(
pl.gca(),
[np.log10(epsilon_iter_rel_speed[epsilon_index])
for epsilon_index in epsilon_indices],
epsilon_range,
bp=boxplots,
facecolor='grey',
alpha=1
)
pl.ylabel('\(\log_{10}\) relative speed')
pl.xlabel('\(\epsilon\)')
ax = pl.gca()
ax.set_xticks(epsilon_range)
ax.set_xticklabels(str_epsilons)
pl.savefig(output_filename('epsilon-iter-rel-speed.eps'))
pl.close()
#
# Plot the width iteration relative speeds in a violin plot
#
