(data_path, n_queries)
| 132 | @timeit() |
| 133 | # acton requires a txt format for data |
| 134 | def acton_uncertainty(data_path, n_queries): |
| 135 | # acton has no SVM support, so the LogisticRegression model is used |
| 136 | acton_main( |
| 137 | data_path=data_path, |
| 138 | feature_cols=['feat01', 'feat02', 'feat03', 'feat04'], |
| 139 | label_col='label', |
| 140 | output_path='out.csv', |
| 141 | n_epochs=n_queries, |
| 142 | initial_count=3, |
| 143 | recommender='UncertaintyRecommender', |
| 144 | predictor='LogisticRegression') |
| 145 | |
| 146 | |
| 147 | @timeit() |
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