Comments (3)
gaugup
commented on July 27, 2024
I don't think DiCE library supports counterfactual generation for time series data as yet. CF for continuous variables is supported but not sure how do you capture the notion of time in your ML model.
@amit-sharma could shed more light on support for time series.
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amit-sharma
commented on July 27, 2024
@Labaien96 DiCE works for continuous features. So it will interpret the timeseries also as a (unordered) set of continuous features.
There are ways to preprocess the data to make it work, but for that it is important to know the specific type of model you'd like to explain. Can you share some details on that? Does the model predict the next value of a timeseries?
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Saladino93
commented on July 27, 2024
@amit-sharma do you have an example for this? I would be very interested!
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