What does "Support Set" mean?
Table of Contents
A support set is a small group of labeled examples used in machine learning. These examples help a model learn to recognize new and unseen things.
How Does It Work?
When a model is trained, it looks at the support set to understand the features of the classes it needs to identify. This is especially useful in situations where there is not a lot of data available.
Why is it Important?
The support set is crucial because it allows the model to make predictions on new items or images. Instead of needing large amounts of data, the model relies on a few examples to guide its understanding.
Applications
In fields like medical image analysis, a support set helps models learn to identify conditions or features with only a few images. This can save time and resources, making the process more efficient.
Conclusion
Using a support set is a smart way to train models when data is limited. It enhances the model's ability to generalize and apply what it learned to new, unseen data.