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However, I need some help, I have a Convolutional 1D Autoencoder for Anomaly Detection, where my forward method takes in two inputs separately for continuous and binary features. Is there anyway to generate counterfactuals for such a model, since right now, it says my forward method requires two inputs.
The text was updated successfully, but these errors were encountered:
Hello,
This is a great package!
However, I need some help, I have a Convolutional 1D Autoencoder for Anomaly Detection, where my forward method takes in two inputs separately for continuous and binary features. Is there anyway to generate counterfactuals for such a model, since right now, it says my forward method requires two inputs.
The text was updated successfully, but these errors were encountered: