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Add Expected Calibration Error metrics and derived #1009
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Hi! I am interested in helping out with this, but I am slightly confused as to what is expected. Should we be implementing these metrics again anew or using the Baal implementations in this project? |
Hi @oaimtiaz, idea is to implement ECE and MulticlassECE from scratch and using our formalism of metric's implementation : https://pytorch.org/ignite/metrics.html#how-to-create-a-custom-metric |
Thanks! I'll get started on this right away! |
@oaimtiaz any updates on this ? |
Hello,
I have made a bit of progress on the project, however I am currently stuck
at one part. I do not believe I will be able to complete this task.
Apologies.
…On Wed, Nov 4, 2020 at 4:45 PM vfdev ***@***.***> wrote:
@oaimtiaz <https://github.com/oaimtiaz> any updates on this ?
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@vfdev-5 , can I work on this issue? |
@Zekrom-7780 Yes, go ahead |
Hey 👋, I've just created a thread for this issue on PyTorch-Ignite Discord where you can quickly talk to the community on the topic. 🤖 This comment was automatically posted by Discuss on Discord |
🚀 Feature
Idea is to provide Expected Calibration Error metrics as coded in Baal : https://github.com/ElementAI/baal/blob/master/src/baal/utils/metrics.py#L88
cc @Dref360
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