pytorch/ignite

Add no improvement handler (similar to early stopping handler)

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#2,314 opened on Nov 9, 2021

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enhancementhelp wanted

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Description

🚀 Feature

To add a 'no-improvement' handler. It's similar to early stopping, except that early stopping calls the training to terminate, 'no-improvement' handler would've calls a function that user pass in. User could pass in different functions that they want to execute if they find no improvements is made. They may want to try various things before terminate the training.

Contributor guide

Research direction
Examine the existing early stopping handler implementation in the ignite library, understand its structure, and create a new 'no improvement' handler that accepts a user defined callback function instead of terminating training. Test the new handler with a simple training loop.
Tech stack
pythonpytorch
Domain
machine learningtooling
Issue type
Feature
DifficultyEstimated implementation difficulty for a new contributor, from 1 for very small changes to 5 for expert-level work.
3
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
PythonPyTorch
Newbie friendlinessA 1-100 score estimating how approachable this issue is for first-time contributors.
75