Sharding

Sharding lets memory scale with the largest active shard rather than all summary workspace at once. DriftXpress can partition the positive support into shards with separate landmarks, feature maps, and summaries. The compositional attractive mean sums shard numerators and denominators before division. Sharding is needed at larger class counts because class-wise landmark summaries can become memory-intensive.