elisim/hydra-sklearn-pipelines

Code accompanying the blogpost: "Creating Configurable Data Pre-Processing Pipelines by Combining Hydra and Sklearn" by Eli Simhayev & Benjamin Bodner

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Experimental

This project helps machine learning engineers and data scientists quickly configure and run different data preprocessing workflows. It takes raw or structured datasets and applies a sequence of cleaning, transformation, and feature engineering steps, producing a ready-to-model dataset. This is ideal for practitioners who need to experiment with various data preparation strategies before training a machine learning model.

No commits in the last 6 months.

Use this if you are a machine learning engineer or data scientist who needs a structured and repeatable way to define and execute different data preprocessing pipelines for your experiments.

Not ideal if you are looking for a general-purpose data transformation tool for business intelligence or simple data cleaning that doesn't involve machine learning.

data-preprocessing machine-learning-engineering data-science-workflows feature-engineering model-preparation
No License Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 7 / 25
Maturity 8 / 25
Community 12 / 25

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Jupyter Notebook

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Last pushed

Jun 26, 2024

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