Oguzz07/causal-discovery-algorithm-selection
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
