- Add explicit warning and tracking for multiple unique latent shapes
- Simplify test imports by removing unused modules
- Minor formatting improvements in print statements
- Ensure log messages provide clear context about dimension mismatches
- Add --cdc_adaptive_k flag to enable adaptive k based on bucket size
- Add --cdc_min_bucket_size to set minimum bucket threshold (default: 16)
- Fixed mode (default): Skip buckets with < k_neighbors samples
- Adaptive mode: Use k=min(k_neighbors, bucket_size-1) for buckets >= min_bucket_size
- Update CDCPreprocessor to support adaptive k per bucket
- Add metadata tracking for adaptive_k and min_bucket_size
- Add comprehensive pytest tests for adaptive k behavior
This allows CDC-FM to work effectively with multi-resolution bucketing where
bucket sizes may vary widely. Users can choose between strict paper methodology
(fixed k) or pragmatic approach (adaptive k).
