functionalmf

Bayesian factorization of matrices where every entry is a curve or function rather than a scalar.

Project description

This version

1.0

Jun 11, 2019

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

Uploaded Jun 11, 2019 source

Uploaded Jun 11, 2019 py3

Hashes for functionalmf-1.0.tar.gz
Algorithm	Hash digest
SHA256	`9ce804c206ebc948d9443635090f8d80b33f1fe751d6146d584cc497b076e555`
MD5	`93be482e0d586fdb37d3f0bdcd6a32dc`
BLAKE2b-256	`6f0e41d90795833fe54f90d71d46b348aa2fc90b7d52372c7c28cae6b2e9e0ed`

Hashes for functionalmf-1.0-py3-none-any.whl
Algorithm	Hash digest
SHA256	`8bc3af8b04506ca62c49990f8872eebc44bfb3a8091af790d1379ac10fd6a2e5`
MD5	`1cc0efbf248c6eabee5869165b40589d`
BLAKE2b-256	`037af5a31787ec76f59f104f02809cab1b55958b51966c4712d21af95b307a90`