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I have a prediction that is the result of a function of models such that pred = model1 + b * model2 + b^2 * model3 + b^3 * model4.
Is it correct to compute the attribution of each model and compute the total attribution using the same function?
Each model has its own baseline and the input x is not exactly the same after each model preprocessing steps.
Thank you!
The text was updated successfully, but these errors were encountered:
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I have a prediction that is the result of a function of models such that pred = model1 + b * model2 + b^2 * model3 + b^3 * model4.
Is it correct to compute the attribution of each model and compute the total attribution using the same function?
Each model has its own baseline and the input x is not exactly the same after each model preprocessing steps.
Thank you!
The text was updated successfully, but these errors were encountered: