reiinakano/xcessiv
A web-based application for quick, scalable, and automated hyperparameter tuning and stacked ensembling in Python.
This tool helps data scientists and machine learning practitioners quickly build and optimize complex predictive models. You input your prepared datasets and individual machine learning models, and it automatically tunes hyperparameters and combines them into powerful stacked ensembles. The output is a highly optimized, production-ready predictive model that often outperforms single models.
1,266 stars. No commits in the last 6 months. Available on PyPI.
Use this if you need to build the most accurate predictive models possible by systematically combining multiple models and rigorously optimizing their settings.
Not ideal if you are looking for a simple, single-model solution and don't require the advanced performance benefits of complex ensembles.
Stars
1,266
Forks
105
Language
Python
License
Apache-2.0
Category
Last pushed
Jun 06, 2018
Commits (30d)
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