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I made a merge for the config file. It doesn't really handle the models in Models.py because I'm not sure of the best way to handle configuring and searching through models since the file is supposed to be low-commitment experimental models already. I'll close this and we can open a new issue if we want to make the modeling more flexible.
The kaggle API doesn't support retrieving output from specific versions of the kernel. Therefore, we have to manually go through the results to find the best performing configurations.
Configuration file containing most important hyperparameters and modeling decisions.
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