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[0.4.0] - 2019-07-05
Added
Added with_loader trial method that allows running of custom batch loaders
Added a Mock Model which is set when None is passed as the model to a Trial. Mock Model always returns None.
Added __call__(state) to StateKey so that they can now be used as losses
Added a callback to do cutout regularisation
Added a with_data trial method that allows passing of train, val and test data in one call
Added the missing on_init callback decorator
Added a step_on_batch flag to the early stopping callback
Added multi image support to imaging
Added a callback to unpack state into torchbearer.X at sample time for specified keys and update state after the forward pass based on model outputs. This is useful for using DataParallel which pass the main state dict directly.
Added callback for generating confusion matrices with PyCM