def make_barrapunto_figures(output_path_prefix, method_name_list,
barrapunto_mse, barrapunto_jaccard,
barrapunto_k_list):
sns.set_style("darkgrid")
sns.set_context("paper")
translator = get_method_name_to_legend_name_dict()
barrapunto_k_list = list(barrapunto_k_list)
fig, axes = plt.subplots(1, 2, sharex=True)
axes[0].set_title("BarraPunto Comments")
axes[1].set_title("BarraPunto Users")
plt.locator_params(nbins=8)
# Comments
for m, method in enumerate(method_name_list):
axes[0].set_ylabel("MSE")
axes[0].set_xlabel("Lifetime (sec)")
axes[0].plot(barrapunto_k_list[1:],
handle_nan(
barrapunto_mse[method]["comments"].mean(axis=1))[1:],
label=translator[method])
# Users
for m, method in enumerate(method_name_list):
# axes[1].set_ylabel("MSE")
axes[1].set_xlabel("Lifetime (sec)")
axes[1].plot(barrapunto_k_list[1:],
handle_nan(
barrapunto_mse[method]["users"].mean(axis=1))[1:],
label=translator[method])
axes[1].legend(loc="upper right")
# plt.show()
plt.savefig(output_path_prefix + "_mse_barrapunto_SNOW" + ".png",
format="png")
plt.savefig(output_path_prefix + "_mse_barrapunto_SNOW" + ".eps",
format="eps")
def make_barrapunto_figures(output_path_prefix, method_name_list, barrapunto_mse, barrapunto_jaccard, barrapunto_k_list):
sns.set_style("darkgrid")
sns.set_context("paper")
translator = get_method_name_to_legend_name_dict()
barrapunto_k_list = list(barrapunto_k_list)
fig, axes = plt.subplots(1, 2, sharex=True)
axes[0].set_title("BarraPunto Comments")
axes[1].set_title("BarraPunto Users")
plt.locator_params(nbins=8)
# Comments
for m, method in enumerate(method_name_list):
axes[0].set_ylabel("MSE")
axes[0].set_xlabel("Lifetime (sec)")
axes[0].plot(barrapunto_k_list[1:],
handle_nan(barrapunto_mse[method]["comments"].mean(axis=1))[1:],
label=translator[method])
# Users
for m, method in enumerate(method_name_list):
# axes[1].set_ylabel("MSE")
axes[1].set_xlabel("Lifetime (sec)")
axes[1].plot(barrapunto_k_list[1:],
handle_nan(barrapunto_mse[method]["users"].mean(axis=1))[1:],
label=translator[method])
axes[1].legend(loc="upper right")
# plt.show()
plt.savefig(output_path_prefix + "_mse_barrapunto_SNOW" + ".png", format="png")
plt.savefig(output_path_prefix + "_mse_barrapunto_SNOW" + ".eps", format="eps")
def make_reddit_figures(output_path_prefix, method_name_list, reddit_mse, reddit_jaccard, reddit_k_list):
sns.set_style("darkgrid")
sns.set_context("paper")
translator = get_method_name_to_legend_name_dict()
reddit_k_list = list(reddit_k_list)
fig, axes = plt.subplots(1, 2, sharex=True)
axes[0].set_title("RedditNews Comments")
axes[1].set_title("RedditNews Users")
plt.locator_params(nbins=8)
# Comments
for m, method in enumerate(method_name_list):
axes[0].set_ylabel("MSE")
axes[0].set_xlabel("Lifetime (sec)")
axes[0].plot(reddit_k_list[1:],
handle_nan(reddit_mse[method]["comments"].mean(axis=1))[1:],
label=translator[method])
# Users
for m, method in enumerate(method_name_list):
# axes[1].set_ylabel("MSE")
axes[1].set_xlabel("Lifetime (sec)")
axes[1].plot(reddit_k_list[1:],
handle_nan(reddit_mse[method]["users"].mean(axis=1))[1:],
label=translator[method])
axes[1].legend(loc="lower left")
# plt.show()
plt.savefig(output_path_prefix + "_mse_com_use_SNOW" + ".png", format="png")
plt.savefig(output_path_prefix + "_mse_com_use_SNOW" + ".eps", format="eps")
####################################################################################################################
fig, axes = plt.subplots(1, 2, sharex=True)
axes[0].set_title("RedditNews Score")
axes[1].set_title("RedditNews Controversiality")
plt.locator_params(nbins=8)
# Score-Wilson
for m, method in enumerate(method_name_list):
axes[0].set_ylabel("MSE")
axes[0].set_xlabel("Lifetime (sec)")
axes[0].plot(reddit_k_list[1:],
handle_nan(reddit_mse[method]["score_wilson"].mean(axis=1))[1:],
label=translator[method])
# Controversiality - Wilson
for m, method in enumerate(method_name_list):
# axes[1].set_ylabel("MSE")
axes[1].set_xlabel("Lifetime (sec)")
axes[1].plot(reddit_k_list[1:],
handle_nan(reddit_mse[method]["controversiality_wilson"].mean(axis=1))[1:],
label=translator[method])
axes[1].legend(loc="lower left")
# plt.show()
plt.savefig(output_path_prefix + "_mse_sco_ctr_SNOW" + ".png", format="png")
plt.savefig(output_path_prefix + "_mse_sco_ctr_SNOW" + ".eps", format="eps")
####################################################################################################################
# Controversiality - Wilson
for m, method in enumerate(method_name_list):
print(method, "Top-100 Jaccard index")
print(reddit_jaccard[method]["controversiality_wilson"].mean(axis=1))