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Add quality report on the artificial noisy dataset #366

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merged 4 commits into from Dec 3, 2018

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warenlg
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@warenlg warenlg commented Dec 3, 2018

Signed-off-by: Waren Long waren@sourced.tech
In this PR, I:

  • removed robust-eval and pr-curve commands to make a single one called quality-report-noisy compiling a quality report in a Md format including a precision-recall curve
  • renamed robustness.py to quality_report_noisy.py
  • made use of a jinja2 template to render the quality report in a MD format
  • filled the table with the evaluation metrics

Signed-off-by: Waren Long <waren@sourced.tech>
Signed-off-by: Waren Long <waren@sourced.tech>
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@vmarkovtsev vmarkovtsev left a comment

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Nice!

lookout/style/format/quality_report_noisy.py Outdated Show resolved Hide resolved
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Waren Long added 2 commits December 3, 2018 16:15
Signed-off-by: Waren Long <waren@sourced.tech>
Signed-off-by: Waren Long <waren@sourced.tech>
@vmarkovtsev vmarkovtsev merged commit 0b3c9b6 into src-d:master Dec 3, 2018
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2 participants