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Hi, I have a question about graphing.py. In def plot_nams, I would like to know why mean_pred is subtracted from feat_contrib. Isn't it possible to draw a graph without subtracting mean_pred, where 0 is a value that does not contribute to the prediction? Isn't it possible to draw the graph without subtracting mean_pred, with 0 being a value that does not contribute to the prediction? Is there any reason why the zero part of the graph should be the mean of the prediction?
The text was updated successfully, but these errors were encountered:
Hi, I have a question about graphing.py. In def plot_nams, I would like to know why mean_pred is subtracted from feat_contrib. Isn't it possible to draw a graph without subtracting mean_pred, where 0 is a value that does not contribute to the prediction? Isn't it possible to draw the graph without subtracting mean_pred, with 0 being a value that does not contribute to the prediction? Is there any reason why the zero part of the graph should be the mean of the prediction?
The text was updated successfully, but these errors were encountered: