Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Jump to bottom

Add unique column to output of the log_parsing pipeline #1795

Merged
merged 6 commits into from
Jul 17, 2024
Merged

Add unique column to output of the log_parsing pipeline #1795

Changes from 1 commit
Commits
Show all changes
6 commits
Select commit Hold shift + click to select a range
3e03a4b
retain the 'doc' index column from the incoming df, allowing the outp…
dagardner-nv Jul 3, 2024
f02c271
Remove unused variables
dagardner-nv Jul 3, 2024
ca44e6d
Remove unused import
dagardner-nv Jul 3, 2024
e98f4b5
Add doc column
dagardner-nv Jul 3, 2024
cfbbd6a
Merge branch 'branch-24.10' into david-log-parsing-unique-out
dagardner-nv Jul 5, 2024
c800db8
Merge branch 'branch-24.10' into david-log-parsing-unique-out
dagardner-nv Jul 5, 2024
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
Prev Previous commit
Next Next commit
Remove unused variables
  • Loading branch information
@dagardner-nv
dagardner-nv committed Jul 3, 2024
commit f02c2715320506fc65fdd2511f27fa95a5d787ac
5 changes: 0 additions & 5 deletions examples/log_parsing/postprocessing.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -101,19 +101,14 @@ def _postprocess(self, x: MultiResponseMessage):
parsed_dfs = infer_pdf.apply(lambda row: self.__get_label_dicts(row), axis=1, result_type="expand")

ext_parsed = pd.DataFrame(parsed_dfs[0].tolist())
ext_confidence = pd.DataFrame(parsed_dfs[1].tolist())
parsed_df = pd.DataFrame()
confidence_df = pd.DataFrame()
ext_confidence = ext_confidence.applymap(np.mean)
for label in ext_parsed.columns:
if label[0] == "B":
col_name = label[2:]
if "I-" + col_name in ext_parsed.columns:
parsed_df[col_name] = ext_parsed[label] + " " + ext_parsed["I-" + col_name].fillna('')
confidence_df[col_name] = (ext_confidence[label] + ext_confidence[label]) / 2
else:
parsed_df[col_name] = ext_parsed[label]
confidence_df[col_name] = ext_confidence[label]

# decode cleanup
parsed_df = self.__decode_cleanup(parsed_df)
Expand Down