Outliers
Package for easy to use outlier detection and removal using robust random cuts forest. RRCF implementation is based on https://github.com/kLabUM/rrcf.
1 maintainer
Metadata
1 maintainer
Release files for ioutliers 0.1.2
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Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
|---|---|---|---|---|
| ioutliers-0.1.2.tar.gz | 2.4 kB | Without provenance | Details for ioutliers-0.1.2.tar.gz |
Release files / ioutliers-0.1.2.tar.gz
| Download URL | ioutliers-0.1.2.tar.gz |
|---|---|
| Size | 2.4 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
5463e3ac9b24ab9dfa3f1cde6e83571750e6eeb228ac085925fc7e1675a25921
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BLAKE2b-256 checksum How to use checksums |
2033cf0569d232c441a1e675d9c70ab6e3fccd3de904e4ecace0f90f00650229
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/3.3.0 pkginfo/1.6.1 requests/2.18.4 setuptools/51.3.1 requests-toolbelt/0.9.1 tqdm/4.55.1 CPython/3.7.7
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Security for ioutliers 0.1.2
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