ium_434804/pred_from_model.py

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import json
import mlflow as mlf
import pandas as pd
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model = mlf.keras.load_model("movies_imdb")
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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)}
input_ex = pd.DataFrame([input_dictionary])
print(model.predict(input_ex))