feat: raise initializer error on unavailable data
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@ -217,6 +217,8 @@ class AbstractStratifiedCompInitializer(AbstractClassAwareCompInitializer):
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components = torch.tensor([])
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for k, v in distribution.items():
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stratified_data = self.data[self.targets == k]
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if len(stratified_data) == 0:
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raise ValueError(f"No data available for class {k}.")
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initializer = self.subinit_type(
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stratified_data,
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noise=self.noise,
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