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For tree methods, I can plot the feature importance plot from tree.feature_importances_ in sklearn, is this achievable in deep learning (neural networks)?

Is there a way to see the feature importance in deep learning (neural networks)?

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  • $\begingroup$ Are you asking how to compute this conceptually or are you asking for a library does it? If the latter, then this question is off-topic. If the former and the latter, then it's on-topic. If the former, it's on-topic. $\endgroup$
    – nbro
    Jan 19 at 10:35

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In the current state, Deep learning for Tabular is not very popular, so it is very hard to find libraries that support feature importance. However, TabNet also provides the model.features_importance_ metrics to be used as usual. This Kaggle notebook provides an example on how to use just that.

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