Working

multiview_platform/MonoMultiViewClassifiers/Monoview/MonoviewUtils.py

@@ -166,6 +166,9 @@ class BaseMonoviewClassifier(object):
                                    ", feature importance : " + str(featureImportance) + "\n"
         return interpretString
 
+    def get_name_for_fusion(self):
+        return self.__class__.__name__[:4]
+
 
 def get_names(classed_list):
     return np.array([object_.__class__.__name__ for object_ in classed_list])

multiview_platform/MonoMultiViewClassifiers/MonoviewClassifiers/CQBoostv2.py

@@ -79,6 +79,9 @@ class CQBoostv2(ColumnGenerationClassifierv2, BaseMonoviewClassifier):
     def getInterpret(self, directory):
         return getInterpretBase(self, directory, "CQBoostv2", self.weights_,)
 
+    def get_name_for_fusion(self):
+        return "CQB2"
+
 
 def formatCmdArgs(args):
     """Used to format kwargs for the parsed args"""

multiview_platform/MonoMultiViewClassifiers/MonoviewClassifiers/CQBoostv21.py

@@ -261,6 +261,9 @@ class CQBoostv21(CqBoostClassifierv21, BaseMonoviewClassifier):
     def getInterpret(self, directory):
         return getInterpretBase(self, directory, "CQBoostv21", self.weights_, self.break_cause)
 
+    def get_name_for_fusion(self):
+        return "CQ21"
+
 
 def formatCmdArgs(args):
     """Used to format kwargs for the parsed args"""

multiview_platform/MonoMultiViewClassifiers/MonoviewClassifiers/QarBoostNC.py

@@ -23,6 +23,9 @@ class QarBoostNC(ColumnGenerationClassifierQar, BaseMonoviewClassifier):
     def getInterpret(self, directory):
         return getInterpretBase(self, directory, "QarBoostNC", self.weights_, self.break_cause)
 
+    def get_name_for_fusion(self):
+        return "QBNC"
+
 
 def formatCmdArgs(args):
     """Used to format kwargs for the parsed args"""

multiview_platform/MonoMultiViewClassifiers/MonoviewClassifiers/QarBoostNC2.py

@@ -23,6 +23,9 @@ class QarBoostNC2(ColumnGenerationClassifierQar, BaseMonoviewClassifier):
     def getInterpret(self, directory):
         return getInterpretBase(self, directory, "QarBoostNC2", self.weights_, self.break_cause)
 
+    def get_name_for_fusion(self):
+        return "QBN2"
+
 
 def formatCmdArgs(args):
     """Used to format kwargs for the parsed args"""

multiview_platform/MonoMultiViewClassifiers/MonoviewClassifiers/QarBoostv2.py

@@ -23,6 +23,9 @@ class QarBoostv2(ColumnGenerationClassifierQar, BaseMonoviewClassifier):
     def getInterpret(self, directory):
         return getInterpretBase(self, directory, "QarBoostv2", self.weights_, self.break_cause)
 
+    def get_name_for_fusion(self):
+        return "QBv2"
+
 
 def formatCmdArgs(args):
     """Used to format kwargs for the parsed args"""

multiview_platform/MonoMultiViewClassifiers/MonoviewClassifiers/QarBoostv3.py

@@ -50,6 +50,9 @@ class QarBoostv3(ColumnGenerationClassifierQar3, BaseMonoviewClassifier):
     def getInterpret(self, directory):
         return getInterpretBase(self, directory, "QarBoostv3", self.weights_, self.break_cause)
 
+    def get_name_for_fusion(self):
+        return "QBv3"
+
 def formatCmdArgs(args):
     """Used to format kwargs for the parsed args"""
     kwargsDict = {}

multiview_platform/MonoMultiViewClassifiers/MultiviewClassifiers/Fusion/FusionModule.py

@@ -23,7 +23,9 @@ def genName(config):
         classifierRedNames = [classifierName[:4] for classifierName in config["classifiersNames"]]
         return "Late-" + str(config["fusionMethod"][:4])#+"-"+"-".join(classifierRedNames)
     elif config["fusionType"] == "EarlyFusion":
-        return "Early-" + config["fusionMethod"][:4] + "-" + config["classifiersNames"][:4]
+        monoview_short_name = getattr(getattr(MonoviewClassifiers, config["classifiersNames"]),
+                                         config["classifiersNames"])().get_name_for_fusion()
+        return "Early-" + config["fusionMethod"][:4] + "-" + monoview_short_name
 
 
 def getBenchmark(benchmark, args=None):

multiview_platform/MonoMultiViewClassifiers/ResultAnalysis.py

@@ -425,6 +425,7 @@ def publishIterBiclassMetricsScores(iterResults, directory, labelsDictionary, cl
             testSTDs = np.std(testScores, axis=1)
             nbResults = len(trainMeans)
             reversedClassifiersDict = dict((value, key) for key, value in classifiersDict.items())
+            # import pdb;pdb.set_trace()
             names = [reversedClassifiersDict[i] for i in range(len(classifiersDict))]
             size=nbResults
             if nbResults<minSize:

multiview_platform/MonoMultiViewClassifiers/utils/GetMultiviewDb.py

@@ -53,11 +53,11 @@ def makeMeNoisy(viewData, randomState, percentage=15):
 
 
 def getPlausibleDBhdf5(features, pathF, name, NB_CLASS=3, LABELS_NAME="", randomState=None, full=True, nbView=3,
-                       nbClass=2, datasetLength=347, randomStateInt=None):
+                       nbClass=2, datasetLength=34, randomStateInt=None):
     """Used to generate a plausible dataset to test the algorithms"""
     randomStateInt = 42
     randomState = np.random.RandomState(randomStateInt)
-    nbFeatures = 100
+    nbFeatures = 10
     if not os.path.exists(os.path.dirname(pathF + "Plausible.hdf5")):
         try:
             os.makedirs(os.path.dirname(pathF + "Plausible.hdf5"))