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Reproducible Machine Learning Pipeline by Hiago Prata is a document available to read on EtoBox.

What is Reproducible Machine Learning Pipeline about?

This paper discusses the importance of reproducibility in machine learning and presents a framework designed to ensure that models can be exactly replicated. The framework consists of four main components: data, feature, scoring, and evaluation layers, which collectively address common reproducibility issues such as data provenance and implementation errors. By emphasizing thorough documentation and version control throughout the machine learning pipeline, the authors aim to enhance both the speed of experi

Author

Hiago Prata

Language

EN