update library....need to install the correct package

source/classifierManager/model/denseNN.py

@@ -27,7 +27,9 @@ from project.projectParameters import ProjectParameters
 
 import keras as kr
 
-from keras.utils import plot_model
+# from keras.utils import plot_model
+from keras.utils.vis_utils import plot_model
+from tensorflow.keras import optimizers
 
 from classifierManager.model.neuralNetworkInitializer import ModelLSTM
 from classifierManager.model.neuralNetworkInitializer import ModelPerceptron
@@ -126,8 +128,8 @@ class DenseNN:
         '''
 
     def compile(self):
-        optimizer = 'rmsprop' #'adam'
-        optimizer = kr.optimizers.RMSprop(lr=0.001, rho=0.9, epsilon=None, decay=0.0)
+        #optimizer = 'rmsprop' #'adam'
+        optimizer = optimizers.RMSprop(lr=0.001, rho=0.9, epsilon=None, decay=0.0)
         self.model.compile(optimizer = optimizer, loss = self.loss, metrics = ['accuracy'])
         print("DenseNN - compile() - compile is done")
 

source/main/ocr/classificationExperimentMerged.py

@@ -39,13 +39,13 @@ if __name__ == "__main__":
     classifier = Classifier(idCourses = ConstantModel.ID_COURSES,
                             directory = Classifier.DIRECTORY_EXPERIMENT_MERGED,
                             nameGroups = [ConstantModel.GROUP_SUCCEED_ALL_USERS, ConstantModel.GROUP_FAILED_ALL_USERS],
-                            features = None,
+                            features = ConstantFeature.IMPLEMENTED_FEATURES,
                             typeFeatureGroup = ConstantFeature.TYPE_FEATURE_GROUP,
-                            hiddenLayers = None,
-                            featuresByPeriod = ConstantFeature.IMPLEMENTED_FEATURES_FORWARD_BEST_MERGED_LR,
+                            hiddenLayers = ConstantFeature.HIDDEN_LAYERS_BEST_NN_PERCEPTRON_MERGED,
+                            featuresByPeriod = None, #ConstantFeature.IMPLEMENTED_FEATURES_FORWARD_BEST_MERGED_LR,
                             featuresByCourse= None)
     
-    classifier.setScriptClassifier(ConstantClassifier.LogisticRegression)
+    classifier.setScriptClassifier(ConstantClassifier.Perceptron)
     
     
     '''
@@ -90,9 +90,9 @@ if __name__ == "__main__":
     Best features for LR
     '''
     
-#     classifier.scriptClassifier.getMergedForwardBestFeaturesCourse(mergedCourse,
-#                                                                     features = ConstantFeature.IMPLEMENTED_FEATURES,
-#                                                                     whereToCut=25)  
+    classifier.scriptClassifier.getMergedForwardBestFeaturesCourse(mergedCourse,
+                                                                    features = ConstantFeature.IMPLEMENTED_FEATURES,
+                                                                    whereToCut=25)  
 #     
 #     classifier.scriptClassifier.getMergedForwardBestFeaturesCourse(mergedCourse,
 #                                                                     features = ConstantFeature.IMPLEMENTED_FEATURES,

source/main/oulad/classificationExperimentMerged.py

@@ -40,9 +40,9 @@ if __name__ == "__main__":
                             directory = Classifier.DIRECTORY_EXPERIMENT_MERGED,
                             nameGroups = [ConstantModel.GROUP_ALL_GRADED, ConstantModel.GROUP_ALL_UNGRADED],
                             features = ConstantFeature.IMPLEMENTED_FEATURES,
-                            featuresByPeriod= None, #ConstantFeature.BEST_LR_FEATURE_MERGED_ALL_PERIODS,
                             typeFeatureGroup = ConstantFeature.TYPE_FEATURE_GROUP,
                             hiddenLayers = ConstantFeature.HIDDEN_LAYERS_BEST_NN_PERCEPTRON_MERGED,
+                            featuresByPeriod= None, #ConstantFeature.BEST_LR_FEATURE_MERGED_ALL_PERIODS,
                             featuresByCourse= None)