feat: cascade feature

.gitignore

@@ -172,3 +172,13 @@ cython_debug/
 #  option (not recommended) you can uncomment the following to ignore the entire idea folder.
 .idea/
 
+# Ignore macOS .DS_Store files
+.DS_Store
+examples/.DS_Store
+examples/cascade/.DS_Store
+
+# Ignore specific output folder
+examples/cascade/output/
+
+# Ignore libem-specific .DS_Store file
+libem/.DS_Store

examples/cascade/bench.py

@@ -0,0 +1,28 @@
+import numpy as np
+from benchmark.run import args
+import json
+from libem.prepare.datasets import abt_buy, beer, itunes_amazon
+from libem.cascade.function import online
+from util import sensitivity_analysis, generate_stats, confidence_cost_plot, confidence_f1_plot, plot_result, save_results, compare_results
+
+def bench():
+    results_data = online(args(), dataset=abt_buy, num_pairs=None, threshold=0.9)
+    compare_results(results_data)
+    cascade_stats, prematch_single, match_single = generate_stats(results_data)
+    save_results(cascade_stats, prematch_single, match_single)
+    plot_result(cascade_stats, prematch_single, match_single)
+
+
+def sensitivity_analysis():
+    # Perform sensitivity analysis
+    thresholds = np.arange(0.1, 1.0, 0.1)
+    f1_scores, costs = sensitivity_analysis(args(), abt_buy, thresholds, num_pairs=100)
+    F1_SCORE = f1_scores
+    COSTS = costs
+    confidence_cost_plot(thresholds, COSTS)
+    confidence_f1_plot(thresholds, F1_SCORE)
+
+
+
+if __name__ == '__main__':
+    bench()

examples/cascade/online.py

@@ -0,0 +1,11 @@
+from libem.prepare.datasets import abt_buy
+from benchmark.run import args
+import numpy as np
+from libem.cascade.function import online
+
+def main():
+    online(args(), abt_buy, num_pairs=100, threshold=0.9)
+
+
+if __name__ == '__main__':
+    main()