Latin hypercube sampler with a sudoku-like constraint.
The sudoku LHS algorithm is a bit like the first stage in the design of an N-dimensional sudoku puzzle, hence the name: each “sudoku box” must have exactly the same number of samples, and no two samples may occur on the same axis-aligned hyperplane.
This gives coarse stratification in N dimensions with linear runtime.
Supports Python 2.7 and 3.4.
1 maintainer
Metadata
1 maintainer
Release files for sudoku-lhs 0.1.1
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Source distribution (sdist)
| File | Size | Uploaded | Provenance | |
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| sudoku_lhs-0.1.1.tar.gz | 13.3 kB | Without provenance | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| sudoku_lhs-0.1.1-py2.py3-none-any.whl | Python 3, Python 2 | none | any | Details |
Total release size: 29.2 kB
Release files / sudoku_lhs-0.1.1.tar.gz
| Download URL | sudoku_lhs-0.1.1.tar.gz |
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| Size | 13.3 kB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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Release files / sudoku_lhs-0.1.1-py2.py3-none-any.whl
| Download URL | sudoku_lhs-0.1.1-py2.py3-none-any.whl |
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| Size | 15.9 kB |
| Tags | Python 2 Python 3 |
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