Auto_ViML
Automatically builds high-performance interpretable machine learning models with minimal features using a single line of code.
What is Auto_ViML?
Auto_ViML is an automated machine learning Python library that builds multiple interpretable models with a single line of code. It automates data cleaning, feature selection, and model training to deliver high-performance models using the fewest necessary features. The tool is designed to accelerate prototyping and provide strong baseline models for classification and regression tasks.
Data scientists and machine learning practitioners who need rapid model prototyping, feature selection automation, and interpretable model generation for structured datasets.
Developers choose Auto_ViML for its emphasis on interpretability through minimal feature selection, comprehensive automation of the ML pipeline, and support for diverse data types including text and date-time variables without manual preprocessing.
Overview
Automatically Build Multiple ML Models with a Single Line of Code. Created by Ram Seshadri. Collaborators Welcome. Permission Granted upon Request.
Use Cases
Best For
- Rapid prototyping of machine learning models for hackathons or competitions
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