lmcinnes/umap

Create a benchmark to track speed improvements / regressions

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#293 opened on Sep 11, 2019

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help wanted

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Description

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/

Contributor guide

Research direction
Investigate existing benchmarks in the UMAP repository, understand how psutil and pyperf work, and design a suite to measure speed improvements/regressions. Start by looking at the links provided: psutil for system capabilities, TensorFlow datasets for sample data, and pyperf for benchmarking.
Tech stack
python
Domain
performancetesting
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.
1-2 days
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.
Mostly clear
Prerequisites
PythonGitBenchmarking concepts
Newbie friendlinessA 1-100 score estimating how approachable this issue is for first-time contributors.
60