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
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
The file tste.py typically refers to the algorithm. It is a specialized dimensionality reduction technique used when you have relative similarity data—like "A is more similar to B than to C"—rather than absolute coordinates. Note : Theano is largely discontinued; you may
python tste.py --triplets triplets.txt --n_objects 100 --n_dims 2 Use code with caution. Copied to clipboard 3. Key Parameters to Tune Parameters often include the number of dimensions (usually
Your input file (e.g., triplets.txt ) should contain zero-indexed integer IDs: 0 1 2 5 3 8 2 0 4 Use code with caution. Copied to clipboard (Meaning: Object 0 is more like Object 1 than Object 2) 2. Run the Embedding
Most versions of this script on GitHub (like the gcr/tste-theano repository ) are built using older libraries. : You usually need numpy and theano .
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