forked from moreo/QuaPy
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@ -69,6 +69,8 @@ def run(experiment):
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if is_already_computed(dataset_name, model_name, optim_loss=optim_loss):
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if is_already_computed(dataset_name, model_name, optim_loss=optim_loss):
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print(f'result for dataset={dataset_name} model={model_name} loss={optim_loss} already computed.')
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print(f'result for dataset={dataset_name} model={model_name} loss={optim_loss} already computed.')
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return
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return
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else:
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print(f'running dataset={dataset_name} model={model_name} loss={optim_loss}')
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benchmark_devel = qp.datasets.fetch_twitter(dataset_name, for_model_selection=True, min_df=5, pickle=True)
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benchmark_devel = qp.datasets.fetch_twitter(dataset_name, for_model_selection=True, min_df=5, pickle=True)
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