snorkel
A Python library for programmatically building and managing training data using weak supervision.
What is snorkel?
Snorkel is a Python library that enables developers and data scientists to programmatically create and manage training data for machine learning models using weak supervision. It solves the bottleneck of manual data labeling by allowing users to write labeling functions that encode domain knowledge, which are then combined to generate training labels. This approach significantly accelerates the development of ML applications.
Machine learning practitioners, data scientists, and researchers who need to build large-scale training datasets without extensive manual labeling efforts, particularly in domains where labeled data is scarce or expensive to obtain.
Developers choose Snorkel because it dramatically reduces the time and cost associated with training data creation, provides a reproducible framework for weak supervision, and has been validated through extensive research and real-world deployments with leading organizations.
Overview
A system for quickly generating training data with weak supervision
Use Cases
Best For
- Rapidly prototyping machine learning models when labeled data is unavailable
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