debugging

Code/MonoMutliViewClassifiers/MonoviewClassifiers/DecisionTree.py

@@ -11,6 +11,7 @@ __status__ 	= "Prototype"                           # Production, Development, P
 
 
 def fit(DATASET, CLASS_LABELS, NB_CORES=1, **kwargs):
+    print kwargs
     maxDepth = int(kwargs['0'])
     classifier = DecisionTreeClassifier(max_depth=maxDepth)
     classifier.fit(DATASET, CLASS_LABELS)

Code/MonoMutliViewClassifiers/Multiview/Fusion/Methods/EarlyFusionPackage/WeightedLinear.py

@@ -37,6 +37,9 @@ class WeightedLinear(EarlyFusionClassifier):
         if not trainIndices:
             trainIndices = range(DATASET.get("Metadata").attrs["datasetLength"])
         self.weights = self.weights/float(max(self.weights))
+        print dict((str(configIndex), config) for configIndex, config in
+                   enumerate(self.monoviewClassifiersConfig
+                             ))
         self.makeMonoviewData_hdf5(DATASET, weights=self.weights, usedIndices=trainIndices, viewsIndices=viewsIndices)
         monoviewClassifierModule = getattr(MonoviewClassifiers, self.monoviewClassifierName)
         self.monoviewClassifier = monoviewClassifierModule.fit(self.monoviewData, DATASET.get("Labels")[trainIndices],