📚 node [[objective_function|objective function]]
Welcome! Nobody has contributed anything to 'objective_function|objective function' yet. You can:
-
Write something in the document below!
- There is at least one public document in every node in the Agora. Whatever you write in it will be integrated and made available for the next visitor to read and edit.
- Write to the Agora from social media.
-
Sign up as a full Agora user.
- As a full user you will be able to contribute your personal notes and resources directly to this knowledge commons. Some setup required :)
⥅ related node [[objective_function]]
⥅ node [[objective_function]] pulled by Agora
📓
garden/KGBicheno/Artificial Intelligence/Introduction to AI/Week 3 - Introduction/Definitions/Objective_Function.md by @KGBicheno
objective function
Go back to the [[AI Glossary]]
The mathematical formula or metric that a model aims to optimize. For example, the objective function for linear regression is usually squared loss. Therefore, when training a linear regression model, the goal is to minimize squared loss.
In some cases, the goal is to maximize the objective function. For example, if the objective function is accuracy, the goal is to maximize accuracy.
See also loss.
📖 stoas
- public document at doc.anagora.org/objective_function|objective-function
- video call at meet.jit.si/objective_function|objective-function
🔎 full text search for 'objective_function|objective function'