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TLux Lazy
Machine learning toolkit
Project overview
TLux Lazy makes it easier to compare machine learning models on a dataset. A single function runs classification or regression models, applies a selection of preprocessing steps, and returns a ranked DataFrame so results can be reviewed side by side.
What it includes
- Compare classification and regression models through one function
- Apply a range of preprocessing options to the dataset
- Review and rank model performance in a returned DataFrame
Design · Development · Exploration