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The obvious reason is that TabularPredictor object doesn't have the attribute coef_, any other predictor which does have the attribute will work. But do we really can define or extract the coeffients from that nonlinear model? Is it theoretically possible?
You shouldn't use any other model but lr to create a scorecard in most cases, since the result will become unexplainable.
I want to use autogluon to remould scordcard,just like this
card = sc.scorecard(bins, predictor, X_train.columns)
I use predictor to replace lr,but there is a error
'TabularPredictor' object has no attribute 'coef_'
how should I do?
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