AxeldeRomblay/MLBox
MLBox is a powerful Automated Machine Learning python library.
This library helps machine learning practitioners rapidly build and optimize predictive models. It takes raw, messy datasets as input and automatically handles data cleaning, feature engineering, and model selection. The output is a highly accurate predictive model for tasks like classification or regression, complete with insights into how the model makes its predictions. Data scientists, machine learning engineers, and researchers can use this to accelerate their model development workflows.
1,526 stars. No commits in the last 6 months. Available on PyPI.
Use this if you need to quickly develop a robust machine learning model from a dataset without manually performing every step of the machine learning pipeline.
Not ideal if you require fine-grained, manual control over every specific detail of the data preprocessing, feature engineering, or model architecture.
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1,526
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272
Language
Python
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Last pushed
Aug 06, 2023
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