22 lines
568 B
Python
22 lines
568 B
Python
import json
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import mlflow
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import pandas as pd
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model_name = "s430705"
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model_version = 30
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mlflow.set_tracking_uri("http://172.17.0.1:5000")
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model = mlflow.pyfunc.load_model(
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model_uri=f"models:/{model_name}/{model_version}"
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)
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with open('/tmp/mlruns/0/6be4f90846214df8913a553bc53b1019/artifacts/movies_imdb2/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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