jeremiedb/EvoLinear.jl
Linear models
This is a machine learning library designed for data scientists and quantitative analysts who need to build predictive models efficiently. It takes in structured data (like a spreadsheet or database table) and trains a linear boosting model, outputting predictions or classifications. It's ideal for tasks where you need to understand the relationship between input features and an outcome.
Use this if you need to quickly build robust linear models with regularization for regression or classification tasks on structured data.
Not ideal if your problem requires complex, non-linear relationships that are better captured by tree-based methods.
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10
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1
Language
Julia
License
MIT
Category
Last pushed
Mar 01, 2026
Commits (30d)
0
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