Added initial scripts and data to generate analytical model

technology/setup_scripts/gen_analytical_model.py

@@ -0,0 +1,32 @@
+import mapping 
+import lr_scikit
+import keras_models
+
+train_sets = []
+test_sets = []     
+     
+filename = "delays.csv" 
+reference_dir = "data"   
+file_path = reference_dir +'/'+filename
+num_points_train = 7
+mp = mapping.mapping()
+
+non_ip_samples, unused_samples = mp.sample_from_file(num_points_train, file_path, reference_dir)
+nip_features_subset, nip_labels_subset = non_ip_samples[:, :-1], non_ip_samples[:,-1:]
+nip_test_feature_subset, nip_test_labels_subset = unused_samples[:, :-1], unused_samples[:,-1:]
+
+train_sets = [(nip_features_subset, nip_labels_subset)]
+test_sets = [(nip_test_feature_subset, nip_test_labels_subset)]
+
+runs_per_model = 1
+
+for train_tuple, test_tuple in zip(train_sets, test_sets):
+    train_x, train_y = train_tuple
+    test_x, test_y = test_tuple
+
+    errors = {}
+    min_train_set = None
+    for _ in range(runs_per_model):
+        #new_error = lr_scikit.run_model(train_x, train_y, test_x, test_y)
+        new_error = keras_models.run_model(train_x, train_y, test_x, test_y)
+        print(new_error)