Implement Active Learning for Data Selection

[Shehrozkashif]

📌 Background / Context

Active learning helps select the most informative samples for training, reducing the required dataset size while maintaining model performance. This is particularly useful in costly or limited-data settings.

🎯 Objectives

• Implement active learning sampling strategies
• Reduce dataset size while maximizing learning
• Improve training efficiency

✅ Tasks

• Implement uncertainty sampling strategy
• Implement diversity sampling strategy
• Create active learning selection pipeline
• Evaluate effectiveness of sample selection
• Add configuration options for active learning