From 329240227d1de92d6a7c46b6bb1bae92ad76482c Mon Sep 17 00:00:00 2001
From: s444417 <mikolaj12341230@gmail.com>
Date: Sun, 15 May 2022 10:55:01 +0200
Subject: [PATCH] predict registry

---
 lab8/predictMlflow.py | 31 +++++++++++++++++++++++--------
 1 file changed, 23 insertions(+), 8 deletions(-)

diff --git a/lab8/predictMlflow.py b/lab8/predictMlflow.py
index fe17266..89dc687 100644
--- a/lab8/predictMlflow.py
+++ b/lab8/predictMlflow.py
@@ -1,15 +1,30 @@
+# import mlflow
+# import numpy as np
+# import json
+# 
+# logged_model = '/mlruns/14/80fe21a0804844088147d15a3cebb3e5/artifacts/lego-model'
+# 
+# # Load model as a PyFuncModel.
+# loaded_model = mlflow.pyfunc.load_model(logged_model)
+# 
+# with open(f'{loaded_model}/input_example.json') as f:
+#     input_example_data = json.load(f)
+# 
+#     # Predictions
+#     print(f'input: {input_example_data}')
+#     print(f'predictions: {loaded_model.predict(input_example_data)}')
+
 import mlflow
 import numpy as np
 import json
 
-logged_model = '/mlruns/14/80fe21a0804844088147d15a3cebb3e5/artifacts/lego-model'
+registry_path = '/mlruns/14/80fe21a0804844088147d15a3cebb3e5/artifacts/lego-model'
+model = mlflow.pyfunc.load_model(registry_path)
 
-# Load model as a PyFuncModel.
-loaded_model = mlflow.pyfunc.load_model(logged_model)
-
-with open(f'{loaded_model}/input_example.json') as f:
+with open(f'{registry_path}/input_example.json') as f:
     input_example_data = json.load(f)
 
-    # Predictions
-    print(f'input: {input_example_data}')
-    print(f'predictions: {loaded_model.predict(input_example_data)}')
\ No newline at end of file
+input_example = np.array(input_example_data['inputs']).reshape(-1, 8)
+
+print(f'Input: {input_example}')
+print(f'Prediction: {model.predict(input_example)}')
\ No newline at end of file