corextext

Return components/latent factors that explain the most multivariate mutual information in the data under Linear Gaussian model. For comparison, PCA returns components explaining the most variance in the data.

These details have not been verified by PyPI

Project links

Project description

The author of this package has not provided a project description

Project details

These details have not been verified by PyPI

Project links

Release history Release notifications | RSS feed

0.2.10

Jan 26, 2018

0.2.9

Jan 26, 2018

0.2.8

Jan 26, 2018

This version

0.2.7

Jan 25, 2018

0.2.6

Jan 25, 2018

0.2.5

Jan 18, 2018

0.2.4

Jan 18, 2018

0.2.3

Jan 18, 2018

0.2.2

Jan 18, 2018

0.2.1

Jan 18, 2018

0.2.0

Dec 23, 2017

0.1.47

Jan 7, 2018

0.1.46

Dec 23, 2017

0.1.45

Dec 23, 2017

0.1.44

Dec 23, 2017

0.1.43

Dec 23, 2017

0.1.42

Dec 23, 2017

0.1.12

Dec 20, 2017

0.1.11

Oct 20, 2017

0.1.10

Oct 4, 2017

0.1.9

Sep 28, 2017

0.1.8

Sep 21, 2017

0.1.7

Sep 20, 2017

0.1.6

Sep 20, 2017

0.1.5

Sep 20, 2017

0.1.4

Sep 12, 2017

0.1.3

Sep 4, 2017

0.1.2

Sep 1, 2017

0.1.1

Sep 1, 2017

0.1.0

Aug 29, 2017

Download files

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

Source Distribution

corextext-0.2.7.tar.gz (19.6 kB view details)

Uploaded Jan 25, 2018 Source

File details

Details for the file corextext-0.2.7.tar.gz.

File metadata

Download URL: corextext-0.2.7.tar.gz
Upload date: Jan 25, 2018
Size: 19.6 kB
Tags: Source
Uploaded using Trusted Publishing? No

File hashes

Hashes for corextext-0.2.7.tar.gz
Algorithm	Hash digest
SHA256	`18b7e45baba7d95a9d66c37f72eab51d096925b86b21b2fa5ea02156ee2a487c`
MD5	`7449bffa5393a3fb2d965944816e0fab`
BLAKE2b-256	`a1ad13c325d14d6a3cd57847dd20a74e5b2f74dff457aa0e9ad98cae0bfe5bd4`