19 lines
441 B
Python
19 lines
441 B
Python
import mlflow as mlf
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import json
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import mlflow as mlf
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import pandas as pd
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model_name = "s430705"
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model_version = 8
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model = mlf.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('movies_imdb/input_example.json', 'r') as datafile:
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data = json.load(datafile)['inputs']
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input_dictionary = {idx:x for idx, x in enumerate(data)}
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input_ex = pd.DataFrame([input_dictionary])
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print(model.predict(input_ex))
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