exps-logistic
Installation
SKILL.md
exps_logistic - Logistic Regression MI Estimation
Purpose
Measure mutual information (MI) lower bound between CoT rationales and problem parameters using multinomial logistic regression on embeddings. Compares code vs NL representations.
Key Files
| File | Purpose |
|---|---|
src/exps_logistic/main.py |
Main experiment runner |
src/exps_logistic/config.py |
Configuration, CLI args, kind presets |
src/exps_logistic/data_utils.py |
Data loading, gamma label creation |
src/exps_logistic/classifier.py |
Logistic regression classifier |
src/exps_logistic/featurizer.py |
Embedding extraction (BERT, TF-IDF) |
src/exps_logistic/run.sh |
Dev script for single model |
src/exps_logistic/prod_logistic.sh |
Production script for all models |
src/exps_logistic/notebooks/generate_plots.py |
Plot generation |