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