:((((

Jenkinsfile-from-registry

@@ -0,0 +1,18 @@
+pipeline {
+    agent {
+        dockerfile true
+    }
+
+            stage('predict')
+            {
+                steps
+                {
+                    catchError {
+                        sh 'ls -al'
+                        sh 'python3 predict434788-from-registry.py'
+                    }
+                }
+            }
+
+    }
+}

predict434788-from-registry.py

@@ -0,0 +1,20 @@
+from mlflow.tracking import MlflowClient
+import mlflow
+import pandas as pd
+
+mlflow.set_tracking_uri("http://172.17.0.1:5000")
+client = MlflowClient()
+version = 0
+model_name = "s434788"
+for mv in client.search_model_versions(f"name='{model_name}'"):
+    if int(mv.version) > version:
+        version = int(mv.version)
+
+model = mlflow.keras.load_model(
+    model_uri=f"models:/{model_name}/{version}"
+)
+
+data = pd.read_json('my_model/input_example.json', orient='index')
+
+print(data)
+print(model.predict(data))