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Add multi dimension plots to analysis.outliers module. #805

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merged 5 commits into from
Nov 23, 2024

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Tatsuya-hasegawa
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Hi,

It's been a long time from my last PR.

At this time, I added multi dimension handling feature to analysis.outliers module.
The former codes were mainly Isolation Forest for two dimension features.

I hope this PR leads more advanced outlier detection in MSTICPy.

My test codes are hosted on outliers_multi_dimension_PR.ipynb

Best regards,
Tatsuya

image

FYI: pre-commit status

(base) hacket@hackeTlab msticpy % git commit -m "add multi dimension subplots and chosen 2 features scatter from many features"
Check Yaml...........................................(no files to check)Skipped
Check JSON...........................................(no files to check)Skipped
Trim Trailing Whitespace.................................................Passed
black....................................................................Passed
pylint...................................................................Passed
flake8...................................................................Passed
isort (python)...........................................................Passed
pydocstyle...............................................................Passed
ruff.....................................................................Passed
check_reqs_all...........................................................Passed
[outliers_multi_dimension 56788e54] add multi dimension subplots and chosen 2 features scatter from many features

@ianhelle ianhelle merged commit 992c53c into microsoft:main Nov 23, 2024
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2 participants