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QuaPy
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Alejandro Moreo Fernandez 2021-01-13 11:55:56 +01:00
parent cbb0d0857a
commit e2ab3fed0a
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TweetSentQuant/experiments.py
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@ -69,6 +69,8 @@ def run(experiment):
if is_already_computed(dataset_name, model_name, optim_loss=optim_loss):
print(f'result for dataset={dataset_name} model={model_name} loss={optim_loss} already computed.')
return
else:
print(f'running dataset={dataset_name} model={model_name} loss={optim_loss}')
benchmark_devel = qp.datasets.fetch_twitter(dataset_name, for_model_selection=True, min_df=5, pickle=True)