Add from-registry job

Jenkinsfile-predict-s444356-from-registry

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+pipeline {
+    agent {
+        docker {
+            image 's444409-create-dataset'
+            args '-v /mlruns:/mlruns'
+        }
+    }
+    
+    stages {
+        stage('Predict values using model from artifact') {
+            steps {
+                sh "python predict_s444356-from-registry.py"
+            }
+        }
+    }
+}

predict_s444356-from-registry.py

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+import json
+import mlflow
+import numpy as np
+
+logged_model = '/mlruns/13/da5c6167bb45403fa35569849a1fbc13/artifacts/model'
+loaded_model = mlflow.pyfunc.load_model(logged_model)
+
+
+with open(f'{logged_model}/input_example.json') as f:
+    data = json.load(f)
+    input_example = np.array([data['inputs'][0]], dtype=np.float64).reshape(-1, 2)
+
+
+print(f'Prediction: {loaded_model.predict(input_example)}')