Pynovisao - Experimenter All

src/classification/classifier.py

@@ -56,6 +56,9 @@ class Classifier(object):
     
     def cross_validate(self, detail = True):
         pass
+    
+    def experimenter(self):
+        pass
 
     @abstractmethod
     def reset(self):

src/classification/weka_alias.py

@@ -181,3 +181,7 @@ class WekaAlias(object):
         
         raise IException('Invalid classifier')
 
+
+    @staticmethod
+    def get_aliases():
+        return _weka_alias

src/classification/weka_classifiers.py

@@ -142,6 +142,34 @@ class WekaClassifiers(Classifier):
         return info
 
 
+    def experimenter(self):
+        info = ""
+        
+        aliases = sorted(WekaAlias.get_aliases())
+        for alias in aliases:
+            try:
+                if alias == "MultilayerPerceptron":
+                    continue 
+                    
+                start_time = TimeUtils.get_time()
+                
+                classifier = WClassifier(classname=WekaAlias.get_classifier(alias))
+        
+                info +=  "Scheme:\t%s %s\n" % (str(classifier.classname) , " ".join([str(option) for option in classifier.options]))
+                
+                evl = WEvaluation(self.data)
+                evl.crossvalidate_model(classifier, self.data, 10, WRandom(1))
+        
+                info += "Correctly Classified Instances: %0.4f%%\n" % (evl.percent_correct)
+                info += "Time taken to build model: %0.5f seconds\n\n" % (TimeUtils.get_time() - start_time)
+
+            except Exception as e:
+                if str(e) != 'Object does not implement or subclass weka.classifiers.Classifier: __builtin__.NoneType':
+                    info += "Exception in %s: %s\n\n" % (WekaAlias.get_aliases()[alias], str(e))
+        
+        return info
+        
+
     def reset(self):
         self.data = None
         self.classifier = None

src/interface/tk_interface.py

@@ -199,6 +199,10 @@ class TkInterface(Interface):
         
     def show_warning(self, fmt, *args):
         tkMessageBox.showwarning("Warning", fmt % args)
+        
+    
+    def ask_ok_cancel(self, title, question):
+        return tkMessageBox.askokcancel(title, question)
 
         
     def show(self):

src/main.py

@@ -67,6 +67,7 @@ if __name__ == "__main__":
     tk.add_command("Configure", act.configure_classifier)
     tk.add_separator()
     tk.add_command("Cross Validation", act.cross_validation, 'X')
+    tk.add_command("Experimenter All", act.experimenter_all, 'p')
     tk.add_separator()
     tk.add_command("Execute", act.run_classifier, 'C')
     

src/pynovisao.py

@@ -431,6 +431,24 @@ class Act(object):
         popup_info = self.classifier.cross_validate()
         self.tk.append_log("Cross Validation finished")
         self.tk.popup(popup_info)
+        
+    def experimenter_all(self):
+        if self.classifier is None:
+            raise IException("You must install python-weka-wrapper")
+        
+        if self.tk.ask_ok_cancel("Experimenter All", "This may take several minutes to complete. Are you sure?"):
+            if self.classifier.must_train():
+                self.tk.write_log("Creating training data...")
+                
+                fextractor = FeatureExtractor(self.extractors)
+                output_file, run_time = fextractor.extract_all(self.dataset, "training", overwrite = False)
+                self.classifier.train(self.dataset, "training")
+                
+            self.tk.write_log("Running Experimenter All on %s...", self.classifier.get_name())
+            
+            popup_info = self.classifier.experimenter()
+            self.tk.append_log("\nExperimenter All finished")
+            self.tk.popup(popup_info)
 
 
     def func_not_available(self):