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add todo - currently assuming class labels are strings ['0.0', '1.0' .. n_classes]. need to resolve it per ClassifierModel
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@ -101,7 +101,7 @@ class PyTorchModelTrainer:
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torch.from_numpy(data_dictionary[f'{split}_features'].values).float(),
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torch.from_numpy(data_dictionary[f'{split}_labels'].astype(float).values)
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.long()
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.view(labels_view)
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.view(labels_view) # todo currently assuming class labels are strings ['0.0', '1.0' .. n_classes]. need to resolve it per ClassifierModel
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)
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data_loader = DataLoader(
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dataset,
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