vsha96/mllib
Machine Learning in Haskell
This library offers a collection of machine learning algorithms for developers who prefer to work within the Haskell programming language. It allows you to build models for tasks like classifying data, grouping similar data points (clustering), and making predictions using decision trees. It takes raw data as input and produces trained machine learning models or predictions as output, all from within a Haskell development environment.
No commits in the last 6 months.
Use this if you are a Haskell developer who needs to integrate machine learning capabilities into your applications without switching to another programming language or framework.
Not ideal if you are not a Haskell developer or are looking for a high-level, production-ready machine learning framework with extensive documentation and pre-built tooling.
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27
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1
Language
Jupyter Notebook
License
BSD-3-Clause
Category
Last pushed
May 21, 2024
Commits (30d)
0
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