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Use the discriminator of the model after training #132

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matteoguarrera opened this issue Mar 2, 2021 · 7 comments
Open

Use the discriminator of the model after training #132

matteoguarrera opened this issue Mar 2, 2021 · 7 comments
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question General question about the software

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@matteoguarrera
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matteoguarrera commented Mar 2, 2021

Problem Description

It seems that the library does not have the possibility to use the discriminator after the training. Is it true?

Expected behavior

I believe that it is possible to add a score function like score_samples(X) that enables the user to see the GAN discriminator
output for a given sample.

@fealho fealho added the question General question about the software label Mar 3, 2021
@fealho
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fealho commented Mar 3, 2021

Hi @matteoguarrera, you are correct, we currently do not plan to give access to the discriminator after training.

@matteoguarrera
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Thanks @fealho for the answer. I can do that and request a pull if you are interested.

@fealho
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fealho commented Mar 5, 2021

I'm glad to hear you would be willing to contribute to the project! Unfortunately, I don't believe this feature is a priority at the moment. Maybe in the future, if more people show interest, we may implement it in SDV, but for now you don't need to worry about it.

@gagank1
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gagank1 commented May 4, 2021

I think this would be useful too. It could be used for checkpointing and early stopping on a validation set held out of the real dataset.

@neuralnets-creator
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Would also be interested in using the discriminator afterwards. Is there any chance to save the trained discriminator to rerun it on unseen data?

@Deepam-Rai
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Same here, even if just to get the model structure of discriminator for documentation purposes.

@Sylv-Lej
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Hi, I have a great interest on this feature also !

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