Model Training & Maintenance
Guides on how to create, improve and maintain Models in Re:infer, using platform features such as Discover, Explore and Validation
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Model Training & Maintenance
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Getting Started
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Manage Accounts & Users
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Using Analytics
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Automations & Re:infer
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Technical Support
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Videos, FAQs & More
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- Introduction to Model training
- Objectives of building a taxonomy
- Analytics vs. automation use cases
- Overview of the training process
- Creating appropriate labels and taxonomies
- Importance of structuring a taxonomy properly
- Understanding the status of your dataset
- Training tips and common pitfalls
- Training with sentiment analysis enabled
- Training support & resources
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- Intro to 'Refine'
- How does validation work?
- Understanding and improving model performance
- Precision & recall explained
- Precision & recall in Re:infer
- Training using 'Check label' & 'Missed label'
- Training using 'Teach' on unreviewed verbatims (Refine)
- Check your model's coverage
- When to stop training your model