pytorch/ignite

Add Expected Calibration Error metrics and derived

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#1,009 opened on May 4, 2020

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enhancementhelp wanted

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Description

🚀 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

Contributor guide

Research direction
Examine the Baal implementation of Expected Calibration Error and adapt it for pytorch/ignite metrics.
Tech stack
pythonpytorch
Domain
machine learning
Issue type
Feature
DifficultyEstimated implementation difficulty for a new contributor, from 1 for very small changes to 5 for expert-level work.
2
Estimated timeA rough time range for an experienced contributor to investigate, implement, test, and prepare a pull request.
Half day
Activity statusHow available the issue appears right now: fresh, active, stale, blocked, or waiting on maintainer input.
Active
ClarityHow clearly the issue explains the expected change, acceptance criteria, and next step.
Clear
Prerequisites
Python
Newbie friendlinessA 1-100 score estimating how approachable this issue is for first-time contributors.
75