Observers

Dockerfile

@@ -11,6 +11,8 @@ RUN pip3 install matplotlib
 RUN pip3 install numpy
 RUN pip3 install tensorflow
 RUN pip3 install sklearn
+RUN pip3 install sacred
+RUN pip3 install pymongo
 
 WORKDIR /app
 

sacred_training.py

@@ -7,9 +7,12 @@ from tensorflow.keras.layers.experimental import preprocessing
 from sacred import Experiment
 from sacred.observers import FileStorageObserver
 from sklearn.metrics import mean_squared_error
+from sacred.observers import MongoObserver
 
 ex = Experiment("434784_sacred_scopes", interactive=True)
 ex.observers.append(FileStorageObserver('sacred_runs'))
+# ex.observers.append(MongoObserver(
+#     url='mongodb://mongo_user:mongo_password_IUM_2021@localhost:27017', db_name='sacred'))
 
 
 @ex.config

train.Jenkinsfile

@@ -36,8 +36,9 @@ pipeline {
                     def image = docker.build('dock')
                     image.inside{
                         sh 'chmod +x training.py'
+                        sh 'chmod +x sacred_training.py'
                         sh 'python3 training.py ${EPOCHS} ${BATCH_SIZE}'
-
+                        sh 'python3 sacred_training.py'
                     }
                 }
 			}
@@ -45,6 +46,7 @@ pipeline {
         stage('archive-model') {
 			steps{
 				archiveArtifacts 'suicide_model.h5'
+                 archiveArtifacts 'sacred_runs/**'
 			}
 		}
         stage('send-mail') {