Skip to main content

Loading and saving timed sparse tensors.

Project description

Timed Sparse Matrices

Save timed sparse matrices and tensors to readable files from Python, MATLAB, and C++.

For detailed description, see https://github.com/nishbo/timed_sparse_matrix.

Getting Started

This project's code is available on GitHub.

Prerequisites

Software:

Installation

You can now install from PyPi:

py -m pip install timed_sparse_matrix

Install from source

  1. Download the repository or clone it using git: git clone https://github.com/nishbo/timed_sparse_matrix.git.
  2. Open Terminal, Command Line, or the desired Anaconda environment in the project Python folder.
  3. Run py -m pip install ..

Examples

TODO. See the if __name__ == '__main__': part of timed_sparse_matrix.py.

Authors

Project details


Download files

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

Source Distribution

timed_sparse_matrix-0.1.2.tar.gz (52.8 kB view hashes)

Uploaded Source

Built Distribution

timed_sparse_matrix-0.1.2-py3-none-any.whl (51.9 kB view hashes)

Uploaded Python 3

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page