diff --git a/freeforestml/model.py b/freeforestml/model.py
index f22aa51c86d9a29c89ea921fbbfa3f5fb12faa19..3ef7179a308b8c48243ca80c78a7b408133ca766 100644
--- a/freeforestml/model.py
+++ b/freeforestml/model.py
@@ -5,6 +5,7 @@ import sys
 import h5py
 import json
 import socket
+import warnings
 import multiprocessing as mp
 
 import numpy as np
@@ -1071,8 +1072,8 @@ class HepNetSearch:
         self.tuner_settings = None
         self.ETH_IP = ETH_IP
 
-        if tuner_name not in ['Hyperband', 'RandomSearch', 'BayesianOptimization']:
-            raise ValueError("%s is an invalid tuner. It must be either Hyperband, etc.." % repr(tuner))
+        if tuner_name not in ['Hyperband', 'RandomSearch', 'BayesianOptimization', 'GridSearch']:
+            warnings.warn("%s is not a tested tuner, the program might break.\nTested tuners: " % (tuner_name,repr(tuner)) )
         else:
             self.tuner_name = tuner_name
 
diff --git a/freeforestml/plot.py b/freeforestml/plot.py
index 3eda8b4b8ed6fbbfcbb5a053dbf329eef346f08a..21f52fffd7f30ac1fb8827e1ebd15adfb1dd23bc 100644
--- a/freeforestml/plot.py
+++ b/freeforestml/plot.py
@@ -507,7 +507,7 @@ def roc(df, signal_process, background_process, discriminant, steps=100,
     data = pd.DataFrame({"Signal efficiency": signal_effs,
                          "1 - Background efficiency": background_ieffs})
     sns.lineplot(x="Signal efficiency", y="1 - Background efficiency", data=data,
-                 ax=axes, ci=None, label=discriminant.name)
+                 ax=axes, errorbar=None, label=discriminant.name)
     axes.plot([0, 1], [1, 0], color='gray', linestyle=':')
 
     axes.set_xlim((0, 1))