Glossary term
Glossary term
Foundations
An example that contains features but no label. For example, the following table shows three unlabeled examples from a house valuation model, each with three features but no house value:
In supervised machine learning, models train on labeled examples and make predictions on unlabeled examples.
In semi-supervised and unsupervised learning, unlabeled examples are used during training.
Contrast unlabeled example with labeled example.
Created for this library
A document classification team uses unlabeled examples in semi-supervised training because labels are expensive to collect at scale.
A research team uses unlabeled examples to pretrain a base encoder before fine-tuning on a small labeled set.
A medical NLP team uses unlabeled examples from clinical notes to pretrain a transformer before fine-tuning for billing-code prediction.
Definition source: Google for Developers Machine Learning Glossary | Creative Commons Attribution 4.0 License