lmcinnes/umap

Create a benchmark to track speed improvements / regressions

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#293 创建于 2019年9月11日

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 (8 评论) (0 反应) (0 负责人)Python (6,478 star) (751 fork)batch import
help wanted

描述

Considering a lot of time goes into optimizing the speed of UMAP it seems necessary to have some kind of bechmark/suite to evaluate performance.

EDIT: A collection of useful links to get started: Tracking System Capabilities: https://github.com/giampaolo/psutil Datasets: https://www.tensorflow.org/datasets Benchmarking: https://pypi.org/project/pyperf/

贡献者指南

技术栈
python
领域
performancedatabackend
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。
stale
清晰度议题是否清楚说明期望改动、验收标准和下一步。
mostly clear
前置要求
Pythonbenchmarkingperformance testing
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。
60
研究方向
Investigate how to set up a benchmark suite for UMAP using pyperf (https://pypi.org/project/pyperf/). Consider using TensorFlow datasets (https://www.tensorflow.org/datasets) for standardized datasets and psutil (https://github.com/giampaolo/psutil) for tracking system capabilities. Look at the existing codebase to identify key performance sensitive areas (e.g., nearest neighbor search, optimization routines) and design benchmarks that measure speed improvements or regressions in those components.