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Answer: Use the AutoML API to retrieve the model with the highest evaluation metric score and obtain the source code for that model.
In most AutoML frameworks, the source code for the best model can be obtained using the AutoML API. This API allows you to retrieve the model with the highest evaluation metric score and obtain its source code. This is a more efficient and reliable method compared to manually searching through logs or files. Option B correctly describes the process of locating the source code for the best model produced by AutoML.
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Given a scenario where AutoML has been used to train a model on a dataset, explain how to locate the source code for the best model produced by AutoML. Provide a step-by-step process and justify each step.
A
Check the AutoML output logs to find the model with the highest evaluation metric score and manually write the source code for that model.
B
Use the AutoML API to retrieve the model with the highest evaluation metric score and obtain the source code for that model.
C
Locate the AutoML experiment folder and search for the model with the highest evaluation metric score. The source code for that model will be stored in a file named 'best_model.py'.
D
There is no need to locate the source code for the best model produced by AutoML, as the model can be directly used for predictions without accessing the source code.