Build a news classifier from scratch with weak supervision 1. Programatically label 38.000 examples with rules and Snorkel. 2. Train a downstream classifier with scikit-learn to achieve 0.81 macro avg. f1-score. Tutorial link below 👇 #nlproc #ml #datascience #opensource Tweet added by Argilla @argilla_io

Argilla

3 years

Build a news classifier from scratch with weak supervision 1. Programatically label 38.000 examples with rules and Snorkel. 2. Train a downstream classifier with scikit-learn to achieve 0.81 macro avg. f1-score. Tutorial link below 👇 #nlproc #ml #datascience #opensource

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Argilla

@argilla_io

3 years

Tutorial 🔗:

📰 Building a news classifier with weak supervision

In this tutorial, we will build a news classifier using rules and weak supervision: 📰 For this example, we use the AG News dataset but you can follow this process to programmatically label any...

rubrix.readthedocs.io

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Argilla

@argilla_io

3 years

To get started:

GitHub - argilla-io/argilla: Argilla is a collaboration platform for AI engineers and domain...

Argilla is a collaboration platform for AI engineers and domain experts that require high-quality outputs, full data ownership, and overall efficiency. - argilla-io/argilla

github.com

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Probably Approximately Correct

@PAClearning

3 years

@rubrixml @RexDouglass Ikuzo @kadalghifari @casecrit

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