From a5e854c1ebb3398e893964a29ffc84c0532f86a1 Mon Sep 17 00:00:00 2001
From: Agata <agakul1@st.amu.edu.pl>
Date: Fri, 29 Apr 2022 22:51:30 +0200
Subject: [PATCH] Save atrifacts

---
 evaluation.Jenkinsfile |  2 +-
 evaluation.py          | 16 ++++++++++++++++
 2 files changed, 17 insertions(+), 1 deletion(-)

diff --git a/evaluation.Jenkinsfile b/evaluation.Jenkinsfile
index 5547d70..f88ece2 100644
--- a/evaluation.Jenkinsfile
+++ b/evaluation.Jenkinsfile
@@ -21,7 +21,7 @@ pipeline {
             	copyArtifacts filter: '*', projectName:'s444421-training/training_and_evaluation', selector: buildParameter('BUILD_SELECTOR')
             	copyArtifacts filter: '*', projectName:'s444421-evaluation/training_and_evaluation', optional: true
             	sh 'ipython ./evaluation.py'
-            	archiveArtifacts artifacts: 'build_accuracy.txt'
+            	archiveArtifacts artifacts: 'build_accuracy.txt, bilds_accuracy.jpg'
             }
         }
     }
diff --git a/evaluation.py b/evaluation.py
index 4c43c1e..e5be79d 100644
--- a/evaluation.py
+++ b/evaluation.py
@@ -10,6 +10,7 @@ from sklearn.metrics import accuracy_score
 import torch
 from torch import nn, optim
 import torch.nn.functional as F
+import matplotlib.pyplot as plt
 
 
 # In[ ]:
@@ -71,3 +72,18 @@ with open('build_accuracy.txt', 'a') as file:
     file.write(str(accuracy))
     file.write('\n')
 
+
+# In[ ]:
+
+
+with open('build_accuracy.txt') as file:
+    acc = [float(line.rstrip()) for line in file]
+    
+builds = list(range(1, len(acc) + 1))
+
+plt.xlabel('build')
+plt.ylabel('accuracy')
+plt.plot(builds, acc, 'ro')
+plt.show()
+plt.savefig('bilds_accuracy.jpg')
+