wide-product
wide-product implements a partial, column-wise Khatri-Rao product. It is fast, and works on sparse matrices.
It can be useful for engineering of cross-features for machine learning.
Definition
For a pair of scalars (~ one by one matrices), the wide product is multiplication:
wide_product ( [[a]], [[b]] ) == [[a * b]]
Where matrices are constructed by vertical stacking, the product is row-wise:
wide_product ( vstack((A, B)), vstack((C, D)) ) ==
vstack((wide_product(A, C),
wide_product(B, D)))
Where matrices are constructed by horizontal stacking, the product contains all the products of the subcomponents up to permutation of columns:
wide_product ( hstack((A, B)), hstack((C, D)) ) ==
hstack((wide_product(A, C),
wide_product(A, D),
wide_product(B, C),
wide_product(B, D)))
Installation
pip install wide-product
Development
To build the module:
python setup.py build
To test:
PYTHONPATH=$(echo build/lib*):. py.test
To install:
pip install .
Metadata
Release files for wide-product 0.1.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
|---|---|---|---|---|
| wide-product-0.1.1.tar.gz | 4.5 kB | Without provenance | Details for wide-product-0.1.1.tar.gz |
Built distributions (wheels)
Total release size: 323.0 kB
Release files / wide-product-0.1.1.tar.gz
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Release files / wide_product-0.1.1-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
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Release files / wide_product-0.1.1-cp311-cp311-macosx_10_9_x86_64.whl
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Release files / wide_product-0.1.1-cp311-cp311-macosx_10_9_universal2.whl
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