group-lasso

What it is

The group-lasso package provides experiments and implementations of the coordinate descent algorithm used in the Sparse Group Lasso model, useful for regression tasks where feature groups are known.

group-lasso offers a specialized implementation of the Sparse Group Lasso model, focusing on coordinate descent algorithms for regression tasks with grouped features.

When it fits — and when it doesn’t

Known weaknesses

Each one links to the public issue, changelog or docs page it came from, where we have one.

1. 01

   Limited documentation and examples for complex use cases

   Official documentation lacks detailed explanations of advanced features and usage scenarios

2. 02

   Performance issues with very large datasets

   Coordinate descent algorithm can be slow when processing high-dimensional data, leading to increased computational time

What it does well

• Implementation of coordinate descent for Sparse Group Lasso

• Supports both sparse and dense data formats

• Optimized for regression tasks with known feature groups

Pricing

Free tier

YesOpen source — free to use

Paid from

$0

Model

Flat rate

Enterprise plan

No

Pricing not independently confirmed — check the vendor’s page.