stop publishing to mlflow

Jenkinsfile_training

@@ -12,6 +12,11 @@ pipeline {
         stage('Get artifacts') {
             steps {
                 copyArtifacts fingerprintArtifacts: true, projectName: 's444507-create-dataset', selector: lastSuccessful()
+                archiveArtifacts artifacts: 'CarPrices_pytorch_model.pkl'
+                archiveArtifacts artifacts: 'mlruns/**'
+                archiveArtifacts artifacts: 'my_model/**'
+                sh 'rm -r mlruns'
+                sh 'rm -r my_model'
             }
         }
         stage('Run mlflow script and save artifacts') {

lab08_deepLearining_mlflow.py

@@ -20,7 +20,7 @@ import mlflow.pytorch
 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("s444507")