:<

Dockerfile

@@ -11,3 +11,4 @@ COPY ["stats.py", "."]
 COPY ["train.py", "."]
 COPY ["evaluate.py", "."]
 COPY ["MLProject", "."]
+COPY ["try_model.py", "."]

Jenkinsfile-trymodel

@@ -0,0 +1,40 @@
+pipeline {
+    agent {
+        docker { image 'adnovac/ium_s434760:4' }
+    }
+    parameters{
+        buildSelector(
+            defaultSelector: lastSuccessful(),
+            description: 'Which build to use for copying artifacts',
+            name: 'WHICH_BUILD'
+        )
+        string(
+            defaultValue: '',
+            description: 'json input',
+            name: 'json_input'
+        )
+    }
+    stages {
+            stage('copy artifacts')
+            {
+                steps
+                {
+                    copyArtifacts(fingerprintArtifacts: true, projectName: 's434788-training', selector: buildParameter('WHICH_BUILD'))
+                }
+            }
+            stage('test')
+            {
+                steps
+                {
+                    catchError {
+                        sh 'python3.8 try_model.py'
+                    }
+                }
+            }
+            stage('archive artifacts') {
+                steps {
+                    archiveArtifacts 'result.txt'
+                }
+            }
+    }
+}

try_model.py

@@ -0,0 +1,10 @@
+import mlflow
+import pandas as pd
+import json
+
+model = mlflow.keras.load_model("my_model")
+with open('my_model/input_example.json') as json_file:
+    data = json.load(json_file)
+
+with open('result.txt', 'w+', encoding="UTF-8") as f:
+   f.write(str(model.predict([data["inputs"]])))