diff --git a/Code/MonoMutliViewClassifiers/ExecClassif.py b/Code/MonoMutliViewClassifiers/ExecClassif.py
index 72571905b25a079a4a3f0a9c31cc8919482d60d2..6abb14ea090dca3bf44550049ec51d042cbcf282 100644
--- a/Code/MonoMutliViewClassifiers/ExecClassif.py
+++ b/Code/MonoMutliViewClassifiers/ExecClassif.py
@@ -302,6 +302,7 @@ SVMLinearKWARGSInit = {"0":map(int, args.CL_SVML_C.split(":"))[0]}
 SVMRBFKWARGSInit = {"0":map(int, args.CL_SVMR_C.split(":"))[0]}
 SVMPolyKWARGSInit = {"0":map(int, args.CL_SVMP_C.split(":"))[0], '1':map(int, args.CL_SVMP_deg.split(":"))[0]}
 DecisionTreeKWARGSInit = {"0":map(int, args.CL_DT_depth.split(":"))[0]}
+print DecisionTreeKWARGSInit
 SGDKWARGSInit = {"2": map(float, args.CL_SGD_alpha.split(":"))[0], "1": args.CL_SGD_penalty.split(":")[0],
              "0":args.CL_SGD_loss.split(":")[0]}
 KNNKWARGSInit = {"0": map(float, args.CL_KNN_neigh.split(":"))[0]}
diff --git a/Code/MonoMutliViewClassifiers/MonoviewClassifiers/DecisionTree.py b/Code/MonoMutliViewClassifiers/MonoviewClassifiers/DecisionTree.py
index 4ee952316a246dd571348297b99fa3d9368c2048..626099e1cfd9ef4236b359c6b8a112484e5fd260 100644
--- a/Code/MonoMutliViewClassifiers/MonoviewClassifiers/DecisionTree.py
+++ b/Code/MonoMutliViewClassifiers/MonoviewClassifiers/DecisionTree.py
@@ -12,7 +12,6 @@ __status__ 	= "Prototype"                           # Production, Development, P
 
 def fit(DATASET, CLASS_LABELS, NB_CORES=1, **kwargs):
     maxDepth = int(kwargs['0'])
-    print maxDepth
     classifier = DecisionTreeClassifier(max_depth=maxDepth)
     classifier.fit(DATASET, CLASS_LABELS)
     return classifier
diff --git a/Code/MonoMutliViewClassifiers/Multiview/Fusion/Fusion.py b/Code/MonoMutliViewClassifiers/Multiview/Fusion/Fusion.py
index d30c4be38d3059731179d98a475da8a5eda53f2b..4255b2dada283fb03995f0b8f6d7529a92242504 100644
--- a/Code/MonoMutliViewClassifiers/Multiview/Fusion/Fusion.py
+++ b/Code/MonoMutliViewClassifiers/Multiview/Fusion/Fusion.py
@@ -64,6 +64,7 @@ class Fusion:
         fusionMethodClass = getattr(fusionMethodModule, fusionMethod)
         nbCores = NB_CORES
         classifierKWARGS = dict((key, value) for key, value in kwargs.iteritems() if key not in ['fusionType', 'fusionMethod'])
+        print classifierKWARGS
         self.classifier = fusionMethodClass(NB_CORES=nbCores, **classifierKWARGS)
 
     def fit_hdf5(self, DATASET, trainIndices=None, viewsIndices=None):
diff --git a/Code/MonoMutliViewClassifiers/Multiview/Fusion/Methods/EarlyFusion.py b/Code/MonoMutliViewClassifiers/Multiview/Fusion/Methods/EarlyFusion.py
index 3d799fe8d0ed76e6ec83a45eb2ed24b5f42bd7e3..641ddff36e61b5513f47bf19db4cb7d201830586 100644
--- a/Code/MonoMutliViewClassifiers/Multiview/Fusion/Methods/EarlyFusion.py
+++ b/Code/MonoMutliViewClassifiers/Multiview/Fusion/Methods/EarlyFusion.py
@@ -9,6 +9,7 @@ class EarlyFusionClassifier(object):
     def __init__(self, monoviewClassifierName, monoviewClassifierConfig, NB_CORES=1):
         self.monoviewClassifierName = monoviewClassifierName[0]
         self.monoviewClassifiersConfig = monoviewClassifierConfig[0]
+        print monoviewClassifierConfig
         self.monoviewClassifier = None
         self.nbCores = NB_CORES
         self.monoviewData = None