pytorch/ignite

Add no improvement handler (similar to early stopping handler)

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#2,314 创建于 2021年11月9日

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 (8 评论) (0 反应) (1 负责人)Python (4,313 star) (602 fork)batch import
enhancementhelp wanted

描述

🚀 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.

贡献者指南

技术栈
pythonpytorch
领域
machine learning
议题类型
feature
难度面向新贡献者的预计实现难度，1 表示很小改动，5 表示专家级工作。
3
预计时间有经验贡献者完成调查、实现、测试并准备 pull request 的粗略时间范围。
1-2 days
活动状态议题当前的可参与程度：新鲜、活跃、陈旧、阻塞或等待维护者输入。
blocked
清晰度议题是否清楚说明期望改动、验收标准和下一步。
clear
前置要求
Knowledge of PyTorch Ignite handlersUnderstanding of early stopping handler
新手友好度1-100 的估计分数，表示该议题对首次贡献者的友好程度。
50
研究方向
Examine the existing early stopping handler implementation in PyTorch Ignite (likely in ignite/handlers/early stopping.py). Understand the callback interface and training termination flow. Review comments in issue #2314 for any user proposed function signatures. The goal is to create a handler that triggers a user defined function when no improvement is observed, rather than terminating training. Implementation should mirror early stopping's logic but invoke the callback instead of stopping.
Add no improvement handler (similar to early stopping handler) · pytorch/ignite#2314 | Good First Issue