Z-score is a metric defined as how many standard deviations the given data point is away from population mean. Data point is considered as outlier if its z value is greater than threshold value.
z value = (x-µ)/σ
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Release files for outlier-processing 0.0.2
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Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
|---|---|---|---|---|
| outlier_processing-0.0.2.tar.gz | 1.6 kB | Without provenance | Details for outlier_processing-0.0.2.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| outlier_processing-0.0.2-py3-none-any.whl | Python 3 | none | any | Details for outlier_processing-0.0.2-py3-none-any.whl |
Total release size: 4.5 kB
Release files / outlier_processing-0.0.2.tar.gz
| Download URL | outlier_processing-0.0.2.tar.gz |
|---|---|
| Size | 1.6 kB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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Release files / outlier_processing-0.0.2-py3-none-any.whl
| Download URL | outlier_processing-0.0.2-py3-none-any.whl |
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| Size | 2.9 kB |
| Tags | Python 3 |
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