How to use the baal.utils.metrics.Loss function in baal
To help you get started, we’ve selected a few baal examples, based on popular ways it is used in public projects.
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ElementAI / baal / src / baal / modelwrapper.py View on Github 
self.add_metric('loss', lambda: Loss())
self.replicate_in_memory = replicate_in_memorybaal
Library to enable Bayesian active learning in your research or labeling work.
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84 / 100Popular baal functions
- baal.active.active_loop.ActiveLearningLoop
- baal.active.ActiveLearningDataset
- baal.active.get_heuristic
- baal.bayesian.bayesian_layer.LinearBayesianLayer
- baal.bayesian.dropout.patch_module
- baal.modelwrapper.ModelWrapper
- baal.utils.cuda_utils.to_cuda
- baal.utils.iterutils.map_on_tensor
- baal.utils.metrics.Loss
- baal.utils.transforms.BaaLTransform