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files for outlier detection for demand data, where slope is used to i… #20
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…dentify outliers and linear interpolation is used to replace the anomalous data
Thank you. Nice work. I will do the review on Monday. |
…n there are more consecutive zeros, a warning is output.
rouille
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Update all in init file, format docstrings for sphinx, follow PEP8, remove unused libraries. All the notebooks and tests are runnining on my machine.
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* Refactor: update puma_data_agg.py with new tract data file structure * refactor: add new tract data files * chore: remove no longer used tract_data_{state} files * fix: pass through all arguments to aggregate_puma_df * chore: update puma_data.csv from refactored puma_data_agg.py * style: address linting failure formatting * style: address linting failure formatting 2
jmbott
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* Refactor: update puma_data_agg.py with new tract data file structure * refactor: add new tract data files * chore: remove no longer used tract_data_{state} files * fix: pass through all arguments to aggregate_puma_df * chore: update puma_data.csv from refactored puma_data_agg.py * style: address linting failure formatting * style: address linting failure formatting 2
BainanXia
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* Refactor: update puma_data_agg.py with new tract data file structure * refactor: add new tract data files * chore: remove no longer used tract_data_{state} files * fix: pass through all arguments to aggregate_puma_df * chore: update puma_data.csv from refactored puma_data_agg.py * style: address linting failure formatting * style: address linting failure formatting 2
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Files for demand data anomaly detection: includes method, test, and demo files.