Updated UK analysis file

Executes multiple period datasets

uk_analysis_new.py

@@ -0,0 +1,43 @@
+#!/usr/bin/env python3
+# -*- coding: utf-8 -*-
+
+#This code is modified to run in Kaggle
+
+#import voting_lib.load_data as ld
+#import voting_lib.voting_analysis as va
+import numpy as np
+import pandas as pd
+import os
+
+
+
+# Train model
+grid_h = 30       # Grid height
+grid_w = 30       # Grid width
+radius = 3        # Neighbour radius
+step = 0.5
+ep = 100          # No of epochs
+
+#main directory path(should contain differnt dataset directory) can be changed 
+main_directory = '/kaggle/input'
+
+for dirname, _, filenames in os.walk(main_directory):
+        #print(os.path.join(dirname))
+        if dirname == main_directory: #to skip main directory path 
+            continue
+        else:
+            # Load data
+            #data = ld.load_uk_data().to_numpy()
+
+            #modifiy load_data.py --> load_uk_data() to load_uk_data(path)
+                                # --> Place path in directory -> for dirname, _, filenames in os.walk(path):
+            data = load_uk_data(dirname).to_numpy() 
+
+            X = data[:,2:]
+
+            #model = va.train_model(X, grid_h, grid_w, radius, step, ep)
+            model = train_model(X, grid_h, grid_w, radius, step, ep)
+
+            # Predict and visualize output
+            #va.predict(model, data, grid_h, grid_w)
+            predict(model, data, grid_h, grid_w)