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Consider verbosity parameter for per-epoch losses #15
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@csala I think for this we should have a |
Any updates on this issue?
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@csala it will be very helpful. ctgan = CTGANSynthesizer()
hist = ctgan.fit(data, discrete_columns) where |
In my own implementation I added loops using tqdm (progress bars) for both the epochs and steps. You can add logging information like loss there as well. Related to how this information should be logged and also the proposal @oregonpillow did, I think the following:
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I'll be honest, the only reason I added GPU status was because I liked watching the temperature go up with more epochs 😏 |
Can i please know what is the metric used here in the loss calculation |
@NadeemNicoR De metric is raw logit output iirc. The loss of G is just the average error of the samples produced by G. The loss of D is the loss of G - the loss of the real samples. I'm doing this by heart, so let me know if this is incorrect. |
#147 addressed this issue so I'm closing it off. For further discussion about the |
Either on/off or maybe a frequency (e.g. every N epochs)
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