Skip to main content

Wide (partial Khatri-Rao) sparse matrix product

Project description

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 .

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Files for wide-product, version 0.0.1
Filename, size File type Python version Upload date Hashes
Filename, size wide_product-0.0.1-cp27-cp27m-macosx_10_11_x86_64.whl (10.7 kB) File type Wheel Python version cp27 Upload date Hashes View
Filename, size wide_product-0.0.1-cp27-cp27mu-manylinux1_x86_64.whl (20.7 kB) File type Wheel Python version cp27 Upload date Hashes View
Filename, size wide-product-0.0.1.tar.gz (2.6 kB) File type Source Python version None Upload date Hashes View

Supported by

Pingdom Pingdom Monitoring Google Google Object Storage and Download Analytics Sentry Sentry Error logging AWS AWS Cloud computing DataDog DataDog Monitoring Fastly Fastly CDN DigiCert DigiCert EV certificate StatusPage StatusPage Status page