outbrain-inc/fwumious_wabbit

Fwumious Wabbit, fast on-line machine learning toolkit written in Rust

40
/ 100
Emerging

This tool helps data scientists rapidly train machine learning models for tasks like ad click prediction or recommendation systems. It takes in large datasets with many examples and features, processing them extremely quickly to produce predictive models. It's ideal for data scientists who need to iterate rapidly on model development and feature engineering.

139 stars. No commits in the last 6 months.

Use this if you are a data scientist needing to train logistic regression or factorization machine models on massive datasets very quickly, especially for tasks like online advertising or personalized recommendations.

Not ideal if you need to use a wider variety of machine learning algorithms beyond logistic regression and factorization machines, or if your datasets are small.

data-science machine-learning ad-tech recommender-systems feature-engineering
Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 10 / 25
Maturity 16 / 25
Community 14 / 25

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Stars

139

Forks

16

Language

Rust

License

Last pushed

Jun 20, 2024

Commits (30d)

0

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