WEHD is a heterogeneous distance function for use in scientific Python environments. The weights for an optimal metric for a dataset can be discovered using gradient-free optimizers, such as Evolution Strategies, in unsupervised settings, as demonstrated in this project.
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Release files for wehd 0.1.0
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Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
|---|---|---|---|---|
| wehd-0.1.0.tar.gz | 2.9 kB | Without provenance | Details for wehd-0.1.0.tar.gz |
Release files / wehd-0.1.0.tar.gz
| Download URL | wehd-0.1.0.tar.gz |
|---|---|
| Size | 2.9 kB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
219fef85f92997f6a0cf125cd46a72d2079a08d8a4f033f6c017b6abbfa1c012
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twine/1.9.0 pkginfo/1.4.1 requests/2.14.2 setuptools/35.0.2 requests-toolbelt/0.8.0 tqdm/4.11.2 CPython/2.7.10
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Security for wehd 0.1.0
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