Expand description
Advanced synthetic data generators
This module provides sophisticated synthetic data generation capabilities for complex scenarios including adversarial examples, anomaly detection, multi-task learning, and domain adaptation.
Structs§
- Advanced
Generator - Advanced data generator
- Adversarial
Config - Configuration for adversarial example generation
- Anomaly
Config - Configuration for anomaly detection datasets
- Continual
Learning Dataset - Continual learning dataset
- Domain
Adaptation Config - Configuration for domain adaptation datasets
- Domain
Adaptation Dataset - Domain adaptation dataset container
- Domain
Shift - Domain shift types
- FewShot
Dataset - Few-shot learning dataset
- FewShot
Episode - Few-shot learning episode
- Multi
Task Config - Configuration for multi-task learning datasets
- Multi
Task Dataset - Multi-task learning dataset container
Enums§
- Anomaly
Type - Types of anomalies
- Attack
Method - Adversarial attack methods
- Task
Type - Task types for multi-task learning
Functions§
- make_
adversarial_ examples - Convenience functions for advanced data generation
- make_
anomaly_ dataset - Generate anomaly detection dataset
- make_
continual_ learning_ dataset - Generate continual learning dataset
- make_
domain_ adaptation_ dataset - Generate domain adaptation dataset
- make_
few_ shot_ dataset - Generate few-shot learning dataset
- make_
multitask_ dataset - Generate multi-task learning dataset