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Data type specification and checking #103
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I think we can follow a similar approach to scikit-learn and assume continuous by default and allow users to pass in a categorical mask (e.g. https://scikit-learn.org/stable/modules/generated/sklearn.ensemble.HistGradientBoostingClassifier.html). Idk if range of variables is important tho? Then, we could have private attributes for each method |
Is your feature request related to a problem? Please describe.
The type and domain of the variables in the data should be a first class citizen
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This is also related to making assumptions first class citizens.
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