: 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 . tste.py
Note : Theano is largely discontinued; you may need to use a newer fork like PyTensor or find a Cython-optimized version . : pip install numpy theano Use code with caution. Copied to clipboard 📝 How to Use the Script : If the embedding looks like a random
python tste.py --triplets triplets.txt --n_objects 100 --n_dims 2 Use code with caution. Copied to clipboard 3. Key Parameters to Tune : You usually need numpy and theano
(Lambda) : Regularization parameter to prevent the points from flying too far apart.