stop tracking train.csv

lab09_02_predict.py

@@ -1,21 +0,0 @@
-import json
-import mlflow
-import pandas as pd
-
-import mlflow.pyfunc
-
-model_name = "country_vaccination"
-stage = '1'
-
-model = mlflow.pyfunc.load_model(
-    model_uri=f"models:/{model_name}/{stage}"
-)
-
-
-with open('country_vaccination/input_example.json', 'r') as datafile:
-    data = json.load(datafile)
-    example_input = data["inputs"]
-
-input_dictionary = {i : x for i, x in enumerate(example_input) }
-input_ex = pd.DataFrame(input_dictionary, index=[0])
-print(model.predict(input_ex))