Perceptual adjustment queries and an inverted measurement paradigm for low-rank metric learning

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This is code for the paper "Perceptual adjustment queries and an inverted measurement paradigm for low-rank metric learning"

Install requirements from requirements.txt:

pip install -r requirements.txt

• baseline_comparison.py compares PAQs against a number of ordinal queries in the noiseless setting
• paq_sims.py sweeps dimension, rank, and averaging parameter