LaTeX symbols fixed

Author: lucagioacchini

README.md

@@ -33,7 +33,7 @@ Notice that this repository has already been updated to include novel experiment
 ___
 ## <b> How to reproduce results in the paper?</b> <a id='howto'></a>
 
-Note: This guide assumes a Linux operating system (tested on Ubuntu 20.04).
+Note: This guide assumes a Debian-like system (tested on Ubuntu 20.04 & Debian 11).
 
 1. Clone this repository
 2. Download the two gzip files from: https://datacloud.di.unito.it/index.php/s/2Yq6Yd3pWdZn2HQ

src/callbacks.py

@@ -99,7 +99,7 @@ def fig2b(plt, cdf, cdf_f):
     plt.plot(cdf_f, linewidth=.8, marker='s', markersize=4, label='Filtered')
     plt.grid(linestyle='--')
     plt.yscale('log')
-    plt.xlabel('$\Delta T$ [day]')
+    plt.xlabel('$Delta T$ [day]')
     plt.ylabel('Distinct IP addresses')
     plt.xticks([0, 4, 9, 14, 19, 24, 29], [1, 5, 10, 15, 20, 25, 30])
     plt.legend()
@@ -168,7 +168,7 @@ def fig7(plt, gs_train_window):
     plt.xlim(.5, 30.5)
     plt.xticks([1, 5, 10, 20, 30])
     plt.xlabel('Training window size')
-    plt.ylabel('Coverage [\%]')
+    plt.ylabel('Coverage [%]')
 
 def fig8(plt, knn_accs):
     """Fastplot callback for generating Fig.8 of the paper.
@@ -551,7 +551,7 @@ def clustering_baseline(plt, df):
         new_idx[x] = x1.capitalize()
 
     sns.heatmap(df.rename(index=new_idx), cmap='coolwarm', 
-                cbar_kws={'label':'GT points per cluster [\%]'}, vmin=0)
+                cbar_kws={'label':'GT points per cluster [%]'}, vmin=0)
 
     plt.xlabel('Assigned Cluster')
     plt.ylabel('True Label')