A unified ensemble framework for pytorch to easily improve the performance and robustness of your deep learning model. Ensemble-PyTorch is part of the pytorch ecosystem which requires the project to be well maintained.
fromtorchensembleimportVotingClassifier# voting is a classic ensemble strategy# Load datatrain_loader=DataLoader(...)
test_loader=DataLoader(...)
# Define the ensembleensemble=VotingClassifier(
estimator=base_estimator, # here is your deep learning modeln_estimators=10, # number of base estimators
)
# Set the optimizerensemble.set_optimizer(
"Adam", # type of parameter optimizerlr=learning_rate, # learning rate of parameter optimizerweight_decay=weight_decay, # weight decay of parameter optimizer
)
# Set the learning rate schedulerensemble.set_scheduler(
"CosineAnnealingLR", # type of learning rate schedulerT_max=epochs, # additional arguments on the scheduler
)
# Train the ensembleensemble.fit(
train_loader,
epochs=epochs, # number of training epochs
)
# Evaluate the ensembleacc=ensemble.predict(test_loader) # testing accuracy