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frlearn_preprocess

v0.1.0 Experimental

Preprocessing models (for example range normalization) for FuzzyRough.

MIT Edition 2024
AlgorithmsScience #fuzzy#machine-learning#normalization#preprocessing

Quick Verdict

  • !Pre-1.0: API may have breaking changes
  • โœ“Permissive license (MIT)

Security

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Downloads
166
Dependents
3
Releases
1
Size
5KB

Deep Insights

๐Ÿ“Š
Stable downloads

42 downloads in the last 30 days (1/day). Volume is roughly flat compared to the previous period.

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Compact crate

At 5KB, frlearn_preprocess is lightweight. Small crate size correlates with focused, well-scoped functionality.

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Used by top crates

Notable dependents include frlearn_descriptors, frlearn_neighbours, frlearn_api. When high-quality crates choose frlearn_preprocess, it's a strong quality signal.

Health Breakdown

Maintenance 8/25

Recency, release consistency, active ratio

Quality 13/25

Yanked ratio, deps, size, maturity, features

Community 8/20

Reverse deps, ownership, ecosystem

Popularity 3/15

Downloads, momentum, growth trend

Documentation 10/15

Docs, repo, license, metadata

Download Trend

Daily downloads ยท last 90 days
0/day avg
02/263/164/34/215/95/26

Top Dependents

Most downloaded crates that depend on frlearn_preprocess

Version Adoption

v0.1.0
100%

Release Timeline

1 releasessince 2026
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README

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Maintainers

Dependencies
5
direct dependencies
Dependents
3
crates depend on frlearn_preprocess

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