predict from registry test

predict-registry/Jenkinsfile

@@ -0,0 +1,22 @@
+pipeline {
+    agent {dockerfile true}
+	
+
+    stages {
+		stage('Copy Archive') {
+            steps {
+                script {
+                    step ([$class: 'CopyArtifact',
+                    projectName: 's430705-training/master',
+                    target: 'prediction_data'])
+                }
+            }
+        }
+        stage('Predict example value'){
+            steps {
+                sh "cd /tmp"
+                sh "ls -al"
+            }
+        }
+	}
+}

predict-registry/predict.py

@@ -0,0 +1,14 @@
+import json
+import mlflow
+import pandas as pd
+from pprint import pprint
+from mlflow.tracking import MlflowClient
+
+model_name = "s430705"
+model_version = 50
+
+mlflow.set_tracking_uri("http://172.17.0.1:5000")
+
+model = mlflow.keras.pyfunc.load_model(
+    model_uri=f"models:/{model_name}/{model_version}",
+)