Expand description
Memory-efficient ensemble methods for large-scale machine learning
This module provides memory-efficient implementations of ensemble methods that can handle large datasets by using incremental learning, streaming processing, and lazy evaluation techniques.
Structs§
- Incremental
Linear Regression - Simple incremental linear regression model
- Memory
Efficient Config - Configuration for memory-efficient ensemble methods
- Memory
Efficient Ensemble - Memory-efficient ensemble that uses incremental learning and streaming
Traits§
- Incremental
Model - Trait for incremental learning models
Functions§
- deserialize_
incremental_ model - Helper function for deserializing incremental models