sacred

JenkinsfileNeural

@@ -17,7 +17,7 @@ node {
 
         }
         stage('Clone repo') {
-                    /*try {*/ docker.image("karopa/ium:23").inside {
+                    /*try {*/ docker.image("karopa/ium:24").inside {
                         stage('Test') {
                             checkout([$class: 'GitSCM', branches: [[name: '*/master']], doGenerateSubmoduleConfigurations: false, extensions: [], submoduleCfg: [], userRemoteConfigs: [[url: 'https://git.wmi.amu.edu.pl/s434765/ium_434765']]])
                             copyArtifacts fingerprintArtifacts: true, projectName: 's434765-create-dataset', selector: buildParameter("BUILD_SELECTOR")

neural_network.py

@@ -1,3 +1,4 @@
+import sys
 from datetime import datetime
 
 import pandas as pd
@@ -9,14 +10,14 @@ from sklearn.metrics import mean_squared_error
 from tensorflow import keras
 
 ex = Experiment("sacred_scopes", interactive=True, save_git_info=False)
-ex.observers.append(MongoObserver(url='mongodb://mongo_user:mongo_password_IUM_2021@172.17.0.1:27017',
-                                  db_name='sacred'))
+# ex.observers.append(MongoObserver(url='mongodb://mongo_user:mongo_password_IUM_2021@172.17.0.1:27017',
+#                                   db_name='sacred'))
 ex.observers.append(FileStorageObserver('my_runs'))
 
 
 @ex.config
 def my_config():
-    epochs_amount = 30
+    epochs_amount = int(sys.argv[1])
 
 
 def normalize_data(data):
@@ -105,4 +106,4 @@ def my_main(epochs_amount):
 
 
 ex.run()
-ex.add_artifact("model.pb")
+ex.add_artifact("model")

predictions.txt

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