HDI-Project/ATM
Auto Tune Models - A multi-tenant, multi-data system for automated machine learning (model selection and tuning).
This project helps data scientists, machine learning engineers, and researchers quickly find the best predictive model for their classification problems. You provide a dataset in a CSV file, and it automatically explores different machine learning models and optimizes their settings to output the best-performing model, ready for use.
527 stars. No commits in the last 6 months. Available on PyPI.
Use this if you need to rapidly develop and evaluate multiple machine learning models for a classification task without manually configuring each one.
Not ideal if you require highly customized model architectures, deep learning models, or solutions for regression, time series, or unsupervised learning problems.
Stars
527
Forks
138
Language
Python
License
MIT
Category
Last pushed
Feb 21, 2020
Commits (30d)
0
Dependencies
19
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