.

eval.Jenkinsfile

@@ -26,12 +26,8 @@ pipeline {
         stage('evaluation') {
 			steps {
                 script {
-                    def image = docker.build('dock')
-                    image.inside{
                         sh 'chmod +x evaluation.py'
                         sh 'python3 evaluation.py'
-
-                    }
                 }
 			}
 		}

evaluation.py

@@ -5,7 +5,7 @@ import matplotlib.pyplot as plt
 from keras import backend as K
 from sklearn.metrics import mean_squared_error
 
-model = keras.models.load_model('suicide_model.h5')
+model = keras.models.load_model('suicide_model')
 
 # train = pd.read_csv('train.csv')
 # test = pd.read_csv('test.csv')

training.py

@@ -91,4 +91,4 @@ test_predictions = model.predict(X_test).flatten()
 predictions = model.predict(X_test)
 pd.DataFrame(predictions).to_csv('results.csv')
 
-model.save('suicide_model.h5')
+model.save('suicide_model')