Module distributed 

Distributed dataset processing capabilities

This module provides functionality for processing datasets across multiple machines or processes:

• Parallel data loading and processing
• Dataset sharding and distribution
• Distributed sampling and cross-validation
• MapReduce-style operations on datasets

Structs

DistributedConfig

Configuration for distributed processing

DistributedProcessor

Distributed dataset processor

ScalingParameters

Parameters for scaling transformations

Enums

ScalingMethod

Scaling methods for distributed processing