predict registry
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@ -24,7 +24,7 @@ model = mlflow.pyfunc.load_model(registry_path)
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with open(f'{registry_path}/input_example.json') as f:
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input_example_data = json.load(f)
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input_example = np.array(input_example_data['inputs']).reshape(-1, 8)
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input_example = np.array(input_example_data['inputs'])
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print(f'Input: {input_example}')
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print(f'Prediction: {model.predict(input_example)}')
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