You can typically execute it via terminal. Parameters often include the number of dimensions (usually 2 or 3) and the number of objects:

: If the embedding looks like a random "ball," try lowering the learning rate. 📊 When to use t-STE vs. t-SNE Learning to Taste A Multimodal Wine Dataset

Most versions of this script on GitHub (like the gcr/tste-theano repository ) are built using older libraries. : You usually need numpy and theano .