In #10 , the computation of the score is spread between linmod.eval.mae_proportions and eval.py. The function mae_proportions() returns a data frame that eval.py then needs to summarize, in order to get a final score.
Instead, the score should be a single function that takes in samples and data and returns a single score. This way, you can add in multiple scores very easily.
In #10 , the computation of the score is spread between
linmod.eval.mae_proportionsandeval.py. The functionmae_proportions()returns a data frame thateval.pythen needs to summarize, in order to get a final score.Instead, the score should be a single function that takes in samples and data and returns a single score. This way, you can add in multiple scores very easily.