diff --git a/eDiscovery/main.py b/eDiscovery/main.py
index f8b213e..1f4f934 100644
--- a/eDiscovery/main.py
+++ b/eDiscovery/main.py
@@ -117,14 +117,14 @@ if __name__ == '__main__':
     parser.add_argument('--sampling', metavar='SAMPLING', type=str, help='Sampling criterion',
                         default='relevance_sampling')
     parser.add_argument('--iter', metavar='INT', type=int, help='number of iterations (-1 to set no limit)',
-                        default=-1)
+                        default=0.5)
     parser.add_argument('--k', metavar='BATCH', type=int, help='number of documents in a batch',
                         default=100)
     parser.add_argument('--initsize', metavar='SIZE', type=int, help='number of labelled documents at the beginning',
-                        default=2)
+                        default=10)
     parser.add_argument('--initprev', metavar='PREV', type=float,
                         help='prevalence of the initial sample (-1 for uniform sampling)',
-                        default=0.5)
+                        default=-1)
     parser.add_argument('--seed', metavar='SEED', type=int,
                         help='random seed',
                         default=1)
diff --git a/eDiscovery/plot.py b/eDiscovery/plot.py
index 649ef21..fb29f53 100644
--- a/eDiscovery/plot.py
+++ b/eDiscovery/plot.py
@@ -33,11 +33,11 @@ class eDiscoveryPlot:
         self.fig, self.axs = plt.subplots(nPlots)
         self.calls=0
 
-    def plot(self, posteriors, y):
+    def plot(self):
 
-        if (self.calls+1) % self.refreshEach != 0:
-            self.calls+=1
-            return
+        # if (self.calls+1) % self.refreshEach != 0:
+        #     self.calls+=1
+        #     return
 
         fig, axs = self.fig, self.axs
         loop, save = self.loop, self.save
@@ -99,18 +99,16 @@ class eDiscoveryPlot:
             aXn += 1
 
         # distribution of posterior probabilities in the pool
-        if self.showYdist:
-            positive_posteriors = posteriors[y==1,1]
-            negative_posteriors = posteriors[y==0,1]
-            #axs[aXn].hist([negative_posteriors, positive_posteriors], bins=50,
-            #         label=['negative', 'positive'])
-            axs[aXn].hist(negative_posteriors, bins=50, label='negative', density=True, alpha=.75)
-            axs[aXn].hist(positive_posteriors, bins=50, label='positive', density=True, alpha=.75)
-            axs[aXn].legend()
-            axs[aXn].grid()
-            axs[aXn].set_xlim(0, 1)
-            axs[aXn].set_ylabel('te-$Pr(\oplus)$ distribution')
-            aXn += 1
+        # if self.showYdist:
+        #     positive_posteriors = posteriors[y==1,1]
+        #     negative_posteriors = posteriors[y==0,1]
+            # axs[aXn].hist(negative_posteriors, bins=50, label='negative', density=True, alpha=.75)
+            # axs[aXn].hist(positive_posteriors, bins=50, label='positive', density=True, alpha=.75)
+            # axs[aXn].legend()
+            # axs[aXn].grid()
+            # axs[aXn].set_xlim(0, 1)
+            # axs[aXn].set_ylabel('te-$Pr(\oplus)$ distribution')
+            # aXn += 1
 
         axs[aXn].plot(xs, df['Shift'], '--k', label='shift (AE)')
         axs[aXn].plot(xs, df['tr-prev'], 'y', label='tr-$Pr(\oplus)$')
@@ -130,9 +128,9 @@ class eDiscoveryPlot:
             # Put a legend to the right of the current axis
             axs[i].legend(loc='center left', bbox_to_anchor=(1, 0.5))
 
-        if save:
-            os.makedirs(self.outdir, exist_ok=True)
-            plt.savefig(f'{self.outdir}/{self.plotname}')
+        # if save:
+        #     os.makedirs(self.outdir, exist_ok=True)
+        #     plt.savefig(f'{self.outdir}/{self.plotname}')
 
         if loop:
             plt.pause(.5)
@@ -206,7 +204,8 @@ if __name__ == '__main__':
     figure = eDiscoveryPlot(file)
 
     try:
-        figure.plot(loop)
+        while True:
+            figure.plot()
     except KeyboardInterrupt:
         print('\n[stop]')