(Alpha) : Degrees of freedom for the Student-t distribution (usually set to is dimensions).
(Lambda) : Regularization parameter to prevent the points from flying too far apart.
This is commonly used in human perception studies (e.g., taste, art style) where it's easier for humans to rank similarities than to give exact scores. 🛠️ Setup & Installation
The tste.py script generally expects an input file of . Each line in your data should represent one "A is closer to B than to C" relationship. 1. Format Your Input
You can typically execute it via terminal. Parameters often include the number of dimensions (usually 2 or 3) and the number of objects:
Tste.py
(Alpha) : Degrees of freedom for the Student-t distribution (usually set to is dimensions).
(Lambda) : Regularization parameter to prevent the points from flying too far apart. tste.py
This is commonly used in human perception studies (e.g., taste, art style) where it's easier for humans to rank similarities than to give exact scores. 🛠️ Setup & Installation (Alpha) : Degrees of freedom for the Student-t
The tste.py script generally expects an input file of . Each line in your data should represent one "A is closer to B than to C" relationship. 1. Format Your Input tste.py
You can typically execute it via terminal. Parameters often include the number of dimensions (usually 2 or 3) and the number of objects:
