mlflow

s444356.Jenkinsfile

@@ -7,7 +7,7 @@ pipeline {
     }
     parameters {
         string(
-            defaultValue: '{"inputs": [[0.51, 0.86]]}',
+            defaultValue: '{"inputs": [[0.51, 0.86], [0.79, 0.79], [0.74, 0.77], [0.66, 0.73], [0.79, 0.47]]}',
             description: 'Input example',
             name: 'INPUT'
         )

s444356.py

@@ -6,6 +6,6 @@ model = mlflow.pyfunc.load_model('mlruns/1/4b83e774512444188fb587288818c298/arti
 
 with open('input_example.json') as file:
     data = json.load(file)
-    input_example = np.array([data['inputs'][0]]).reshape(-1, 2)
+    input_example = np.array([data['inputs']]).reshape(-1, 2)
     print('Input: ', input_example)
     print('Predictions: ', model.predict(input_example))