This repository accompanying the blog post:

Creating Configurable Data Pre-Processing Pipelines by Combining Hydra and Sklearn - by Eli Simhayev & Benjamin Bodner

When I wrote this blog-post, the stable version of Hydra was 1.1. Now, the stable version is 1.3, so note that this code work with Hydra 1.1 :)

Run:

python main.py preprocessing_pipeline=decision_tree

to execute the decision_tree preprocessing pipeline. You might also run other pipelines (from configs/preprocessing_pipeline) by just changing:

python main.py preprocessing_pipeline=<your-pipeline>

Hydra also supports Tab completion to complete config.

Adding new pipelines can be easily done using a yaml configuration in configs/preprocessing_pipeline. You might add another configurations: which model to use, which visualizations, etc. - learn more here: Hydra — A fresh look at configuration for machine learning projects