Comments (4)
Yes, it's a fair point that for this minimalistic examples skipping first few entries in confusing. I accepted your PR. Thank you, @djp3 !
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I found the issue. One can pass a parameter to the constructor to change this behavior:
liveplot = PlotLosses(skip_first=0)
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This was a long-required feature (vide #18), as very often first log-losses are very high and irrelevant to the further training process.
I understand it may be confusing (especially as there is no documentation), so indeed - concrete examples may be useful.
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So all I'm proposing is to manually pass the skip_first parameter in the example so that the graph doesn't look broken (especially as it is the "low-level" API example) No change in the main code base necessary given the history that you cite.
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Related Issues (20)
- KeyError : 'metrics' Please Help HOT 7
- How to plot live loss XGBOOST training? HOT 1
- Bug with latest keras HOT 3
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- Custom Message (Batch Size, etc) HOT 2
- How to plot multiple validation sets HOT 4
- Setup outputs as str HOT 6
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- Sudden error that wasn't happen before - index 0 is out of bounds for axis 0 with size 0 HOT 1
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- sliding start of epochs HOT 2
- WARNING : tensorflow:Callback method `on_train_batch_end` is slow compared to the batch time HOT 2
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- how to plot by batches?
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