Update README with final results (71.3% hit rate, 178 configs, pairwise ranking)

Update with augmented data (178 configs) + pairwise ranking model (71.3% hit rate)

Update with augmented data (178 configs) + pairwise ranking model (71.3% hit rate)

Update with augmented data (178 configs) + pairwise ranking model (71.3% hit rate)

Update with augmented data (178 configs) + pairwise ranking model (71.3% hit rate)

Update with augmented data (178 configs) + pairwise ranking model (71.3% hit rate)

Update with augmented data (178 configs) + pairwise ranking model (71.3% hit rate)

Update with augmented data (178 configs) + pairwise ranking model (71.3% hit rate)

Update with augmented data (178 configs) + pairwise ranking model (71.3% hit rate)

Update with augmented data (178 configs) + pairwise ranking model (71.3% hit rate)

Update to GBM-500 best model (70.5% top-3 hit rate)

Update to GBM-500 best model (70.5% top-3 hit rate)

Update causal_selection/data/results/evaluation_results.json with final benchmark (14 networks, 122 configs)

Update causal_selection/data/results/configs.csv with final benchmark (14 networks, 122 configs)

Update causal_selection/data/results/normalized_shd_matrix.csv with final benchmark (14 networks, 122 configs)

Update causal_selection/data/results/shd_matrix.csv with final benchmark (14 networks, 122 configs)

Update causal_selection/data/results/meta_features.csv with final benchmark (14 networks, 122 configs)

Update causal_selection/models/scaler.pkl with final benchmark (14 networks, 122 configs)

Update causal_selection/models/meta_learner.pkl with final benchmark (14 networks, 122 configs)

Add requirements.txt

Add causal_selection/models/scaler.pkl

Add causal_selection/models/meta_learner.pkl

Add causal_selection/data/results/evaluation_results.json

Add causal_selection/data/results/configs.csv

Add causal_selection/data/results/normalized_shd_matrix.csv

Add causal_selection/data/results/shd_matrix.csv

Add causal_selection/data/results/meta_features.csv

Add run_benchmark.py

Add causal_selection/benchmark.py

Add causal_selection/meta_learner/predictor.py

Add causal_selection/meta_learner/trainer.py

Add causal_selection/features/extractor.py

Add causal_selection/discovery/evaluator.py

Add causal_selection/discovery/algorithms.py

Add causal_selection/data/generator.py

Add features init

Add discovery, features, meta_learner, utils inits

Add utils init

Add meta_learner init

Add subpackage inits

Add causal_selection package init

Add README with project documentation

initial commit