Predict materials properties using only the composition information.

Project description

wasserstein-distance

Fast Numba-enabled CPU and GPU computations of Earth Mover's (scipy.stats.wasserstein_distance) and Euclidean distances.

1.0.4

Jun 19, 2023

1.0.3

Jun 19, 2023

1.0.2

Oct 30, 2021

1.0.1

Oct 30, 2021

This version

1.0.0

Oct 30, 2021

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

Uploaded Oct 30, 2021 Source

Uploaded Oct 30, 2021 Python 2 Python 3

Details for the file dist_matrix-1.0.0.tar.gz.

Hashes for dist_matrix-1.0.0.tar.gz
Algorithm	Hash digest
SHA256	`b6dc4b22576c848797009c5298ce8b2bb4f52feeeeeaec79abd864878a70eefe`
MD5	`ac874bccc7c9084a6dcc6cb2cad95227`
BLAKE2b-256	`5fde716d71821e2d0fcf17f84d46aeb984eac6ed5973a70855e72466102b5abe`

Details for the file dist_matrix-1.0.0-py2.py3-none-any.whl.

Hashes for dist_matrix-1.0.0-py2.py3-none-any.whl
Algorithm	Hash digest
SHA256	`705b0f917cb26c8f310b716bfcf2972dca777b1b619b2893f449e1fe9e8eb2b3`
MD5	`c3093a2c943e11ad666ded1d609eeaaa`
BLAKE2b-256	`b5d173d469ccdae830ccdcfd99b180cad87e34b5c100acbda2f8f9a3a536cc28`