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publications/2023-neurips/README.md

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@@ -110,6 +110,19 @@ Even this way, query times are generally high, and you probably want to avoid ma
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It is therefore highly recommended to retrieve the information you are interested in from the dataframes and only store the important information.
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Most applications only need a fraction of the stored information (often less than 10%), so storing the relevant information locally will drastically speed up your research activity.
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### Debug Result
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The `debug_info` object stores detailed error messages and their corresponding `['configs']`, `['tracebacks']`, and `['errors']`. To quickly view the error messages, you can use the following code:
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```python
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lcdb = LCDB()
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debug_info = lcdb.debug(
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openmlids=[openmlid],
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workflows=[workflow],
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show_progress=True
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)
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print("Non-duplicate Error: \n", debug_info['errors'].drop_duplicates().reset_index(drop=True).to_frame().to_string(header=False))
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```
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### Processing Result Dictionaries
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The dictionaries stored inside `m:json` contain a potentially deep tree structure. The dictionary itself is the root node of this tree, and for any node, children can be obtained through the `children` key. Each node has the following entries:
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| Key | Type of value | Description of the value |

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