Evaluation

eval-tensorflow.py

@@ -26,3 +26,16 @@ file.writelines(accuracy.__str__() + '\n')
 file.close()
 
 
+with open('evaluation.txt', 'r') as f:
+    lines = f.readlines()
+
+
+fig = plt.figure(figsize=(10, 5))
+chart = fig.add_subplot()
+chart.set_title("Accuracy")
+chart.set_ylabel("Accuracy value")
+chart.set_xlabel("Build number")
+x = np.arange(0, len(lines), 1)
+y = [float(x) for x in lines]
+plt.plot(x, y)
+plt.savefig("evaluation-chart.png")

evaluation.txt

@@ -0,0 +1,5 @@
+0.7662016598975808
+0.7662016598975808
+0.7549002295603037
+0.7549002295603037
+0.7549002295603037