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| print(dataset, task, attrs.get("algo"), attrs.get("params"), "=>", recall) | ||
| row["recall"] = recall[0] | ||
| row["recall_description"] = recall[1] | ||
| add_details_from_tira(fn, row) |
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This should be guarded by a flag parsed as command line argument
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| recall = get_recall(knns, gt_I, k) | ||
| row = dict(attrs) | ||
| row["recall"] = recall | ||
| print(dataset, task, attrs.get("algo"), attrs.get("params"), "=>", recall) |
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Wasn't that rather helpful? :-) to see the progress?
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Some minor modifications to add more details to the json results and to write a temporary cache file to speed up the csv creation. (the evaluation otherwise runs hours on task 1)