dmeoli/optiml
Optimizers for/and sklearn compatible Machine Learning models
This project offers a collection of pre-built machine learning models, specifically Support Vector Machines and Deep Neural Networks, along with various optimization algorithms. It takes your raw dataset and helps you build, train, and fine-tune models to make predictions or classify data. Data scientists, machine learning engineers, and researchers can use this to quickly experiment with different optimization approaches for common ML tasks.
No commits in the last 6 months. Available on PyPI.
Use this if you are a data scientist or researcher looking to apply advanced optimization techniques to your Support Vector Machine or Deep Neural Network models within a familiar scikit-learn environment.
Not ideal if you need a machine learning framework for tasks beyond classification and regression with SVMs and basic neural networks, or if you prefer a 'black-box' solution without needing to dive into optimization details.
Stars
10
Forks
4
Language
Python
License
MIT
Category
Last pushed
Mar 04, 2023
Commits (30d)
0
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