Incompatibility with ExplainableBoostingRegressor: unsupported feature type 'ordinal' about gam-changer HOT 5 OPEN

Actually, looking at the code I think it will instead need to be:

ebm.feature_types_in_ = ['continuous', 'continuous', 'continuous', 'continuous', 'nominal', 'nominal', 'nominal']

Because here 'nominal' is supported, but not 'categorical' or 'ordinal'. For prediction 'nominal' and 'ordinal' will be identical:

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To hack this, try this instead (NOTE: I have not tested this):

ebm.feature_types_in_ = ['continuous', 'continuous', 'continuous', 'continuous', 'categorical', 'categorical', 'categorical']

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This worked, thanks for the lightning fast response :)

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While this fix works in a sense, that it displays the gc visual, the metrics (right) are now gone, see below screenshot

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Two questions:

1. If you train the model using only nominals (no ordinals), does it still have this visualization issue. My guess is that it will.
2. What datatypes are the columns of X? If you force the nominal and ordinal columns to be strings, does that fix the issue?

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