ContinualAI/avalanche

Unbalanced Steps Sizes Option for Benchmarks Generators

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#331 opened on Feb 23, 2021

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 (2 comments) (2 reactions) (0 assignees)Python (258 forks)batch import
BenchmarksFeature - Low Prioritygood first issue

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Description

I noticed it is quite tricky at the moment to generate a benchmark with an unbalanced number of examples for each step. It would be nice to have an option in ni_scenario, nc_scenario and similar to set the number of examples for each step.

Contributor guide

Research direction
Locate the generator functions (ni scenario, nc scenario, etc.) and modify them to accept an optional parameter for specifying the number of examples per step, ensuring backward compatibility.
Tech stack
python
Domain
machine learningai
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.
Fresh
ClarityHow clearly the issue explains the expected change, acceptance criteria, and next step.
Clear
Prerequisites
PythonPyTorchavalanche
Newbie friendlinessA 1-100 score estimating how approachable this issue is for first-time contributors.
65