avalanche.benchmarks.classic.ExMLCIFAR10
- class avalanche.benchmarks.classic.ExMLCIFAR10(scenario='split', run_id=0)[source]
ExML scenario on CIFAR10.
The pretrained models and class splits are taken from https://arxiv.org/abs/2112.06511
- __init__(scenario='split', run_id=0)[source]
Init.
- Parameters:
scenario – If ‘split’, use a class-incremental scenario with 5 experiences (2 classes each). If ‘joint’, use a single experience with all the classes. This should be used only as a baseline since it is not a continual scenario.
run_id – an integer in [0, 4]. Each run uses a different set of expert models and data splits.
Methods
__init__
([scenario, run_id])Init.
Attributes
streams