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Merge pull request #124 from DataResponsibly/development
Release 0.5.0
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include virny/datasets/*.csv | ||
include virny/datasets/*.gz | ||
include virny/datasets/*.zip | ||
include virny/datasets/data/*.csv | ||
include virny/datasets/data/*.gz | ||
include virny/datasets/data/*.zip |
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nav: | ||
- introduction | ||
- api | ||
- examples | ||
- glossary | ||
- api | ||
- release_notes |
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# BankMarketingDataset | ||
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Dataset class for the Bank Marketing dataset that contains sensitive attributes among feature columns. Source: https://github.com/tailequy/fairness_dataset/blob/main/experiments/data/bank-full.csv General description and analysis: https://arxiv.org/pdf/2110.00530.pdf (Section 3.1.5) Broad description: https://archive.ics.uci.edu/dataset/222/bank+marketing | ||
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## Parameters | ||
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- **subsample_size** (*int*) – defaults to `None` | ||
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Subsample size to create based on the input dataset | ||
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- **subsample_seed** (*int*) – defaults to `None` | ||
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Seed for sampling using the sample() method from pandas | ||
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# CardiovascularDiseaseDataset | ||
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Dataset class for the Cardiovascular Disease dataset that contains sensitive attributes among feature columns. Source and broad description: https://www.kaggle.com/datasets/sulianova/cardiovascular-disease-dataset | ||
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## Parameters | ||
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- **subsample_size** (*int*) – defaults to `None` | ||
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Subsample size to create based on the input dataset | ||
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- **subsample_seed** (*int*) – defaults to `None` | ||
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Seed for sampling using the sample() method from pandas | ||
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# DiabetesDataset2019 | ||
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Dataset class for the Diabetes 2019 dataset that contains sensitive attributes among feature columns. Source and broad description: https://www.kaggle.com/datasets/tigganeha4/diabetes-dataset-2019/data | ||
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## Parameters | ||
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- **subsample_size** (*int*) – defaults to `None` | ||
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Subsample size to create based on the input dataset | ||
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- **subsample_seed** (*int*) – defaults to `None` | ||
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Seed for sampling using the sample() method from pandas | ||
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- **with_nulls** (*bool*) – defaults to `True` | ||
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Whether to keep nulls in the dataset or drop rows with any nulls. Default: True. | ||
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# GermanCreditDataset | ||
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Dataset class for the German Credit dataset that contains sensitive attributes among feature columns. Source: https://github.com/tailequy/fairness_dataset/blob/main/experiments/data/german_data_credit.csv General description and analysis: https://arxiv.org/pdf/2110.00530.pdf (Section 3.1.3) Broad description: https://archive.ics.uci.edu/dataset/144/statlog+german+credit+data | ||
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## Parameters | ||
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- **subsample_size** (*int*) – defaults to `None` | ||
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Subsample size to create based on the input dataset | ||
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- **subsample_seed** (*int*) – defaults to `None` | ||
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Seed for sampling using the sample() method from pandas | ||
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