evo-mars-grid-search

Parallel grid search over DBSCAN hyperparameters.

Key Functions

• load_data(citsci_path, expert_path) - Load CSVs, return grouped dicts
• evaluate_hyperparameter_combo(ms, eps, sw, images, citsci_dict, expert_dict) - Eval one combo
• run_grid_search(unique_images, citsci_dict, expert_dict, n_jobs) - Full parallel grid search
• filter_results(results_df, min_f1=0.5) - Filter to F1 > 0.5

Usage

import sys
sys.path.insert(0, '/app/environment/skills/evo-mars-grid-search/scripts')
from utils import load_data, run_grid_search, filter_results

_, _, images, citsci_dict, expert_dict = load_data('citsci.csv', 'expert.csv')
results = run_grid_search(images, citsci_dict, expert_dict)
filtered = filter_results(results)

Averaging Rules

• Loop over ALL unique images from expert dataset
• Images with no citsci points: F1=0.0, delta=NaN
• F1 average includes all zeros
• Delta average excludes NaN values
• Filter: only keep F1 > 0.5