diff --git a/Jenkins/Jenkinsfile.evaluation b/Jenkins/Jenkinsfile.evaluation
index c24aa66..e6357f1 100644
--- a/Jenkins/Jenkinsfile.evaluation
+++ b/Jenkins/Jenkinsfile.evaluation
@@ -1,7 +1,7 @@
 node {
     checkout scm
     try {
-        docker.image('s444452/ium:1.4').inside {
+        docker.image('s444452/ium:1.4').inside('-v /code/mlruns:/code/mlruns') {
         stage('Preparation') {
             properties([
                 parameters([
diff --git a/Jenkins/Jenkinsfile.training b/Jenkins/Jenkinsfile.training
index f8493e1..0e5f52d 100644
--- a/Jenkins/Jenkinsfile.training
+++ b/Jenkins/Jenkinsfile.training
@@ -1,7 +1,7 @@
 node {
     checkout scm
     try {
-        docker.image('s444452/ium:1.4').inside('-v /mlruns:/mlruns') {
+        docker.image('s444452/ium:1.4').inside('-v /code/mlruns:/code/mlruns') {
         stage('Preparation') {
             properties([
                 pipelineTriggers([upstream(threshold: hudson.model.Result.SUCCESS, upstreamProjects: "s444452-create-dataset")]),
@@ -47,7 +47,7 @@ node {
         stage('Archive artifacts') {
             archiveArtifacts "model/neural_net"
             archiveArtifacts "my_runs/**"
-            archiveArtifacts "mlruns/**"
+            archiveArtifacts "/code/mlruns/**"
         }
         }
     } catch (e) {
diff --git a/Scripts/evaluate_neural_network.py b/Scripts/evaluate_neural_network.py
index a119bbd..92cd5ef 100644
--- a/Scripts/evaluate_neural_network.py
+++ b/Scripts/evaluate_neural_network.py
@@ -17,7 +17,7 @@ import logging
 logging.basicConfig(level=logging.WARN)
 logger = logging.getLogger(__name__)
 
-mlflow.set_tracking_uri("http://172.17.0.1:5000")
+# mlflow.set_tracking_uri("http://172.17.0.1:5000")
 mlflow.set_experiment("s444452")
 
 ex = Experiment(name='s444452_fake_job_classification_evaluation', save_git_info=False)
diff --git a/Scripts/train_neural_network.py b/Scripts/train_neural_network.py
index 1a00141..12189e7 100644
--- a/Scripts/train_neural_network.py
+++ b/Scripts/train_neural_network.py
@@ -19,7 +19,7 @@ import logging
 logging.basicConfig(level=logging.WARN)
 logger = logging.getLogger(__name__)
 
-mlflow.set_tracking_uri("http://172.17.0.1:5000")
+# mlflow.set_tracking_uri("http://172.17.0.1:5000")
 mlflow.set_experiment("s444452")
 
 ex = Experiment(name='s444452_fake_job_classification_training', save_git_info=False)