megaman

megaman: Scalable Manifold Learning

These details have not been verified by PyPI

Project links

Development Status
- 4 - Beta
Environment
- Console
Intended Audience
- Science/Research
License
- OSI Approved :: BSD License
Natural Language
- English
Programming Language
- Python :: 2.7

Project description

megaman: Scalable Manifold Learning
=================================

This repository contains a scalable implementation of several manifold learning
algorithms, making use of FLANN for fast approximate nearest neighbors and
scipy routines for fast matrix decompositions.

For more information, visit https://github.com/mmp2/megaman

Project details

These details have not been verified by PyPI

Project links

Development Status
- 4 - Beta
Environment
- Console
Intended Audience
- Science/Research
License
- OSI Approved :: BSD License
Natural Language
- English
Programming Language
- Python :: 2.7

Release history Release notifications | RSS feed

0.2

Jun 16, 2016

0.1.1

Mar 10, 2016

This version

0.1.dev0 pre-release

Feb 29, 2016

Download files

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

Source Distribution

megaman-0.1.dev0.tar.gz (2.6 MB view details)

Uploaded Feb 29, 2016 Source

File details

Details for the file megaman-0.1.dev0.tar.gz.

File metadata

Download URL: megaman-0.1.dev0.tar.gz
Upload date: Feb 29, 2016
Size: 2.6 MB
Tags: Source
Uploaded using Trusted Publishing? No

File hashes

Hashes for megaman-0.1.dev0.tar.gz
Algorithm	Hash digest
SHA256	`b20c6d06722d0ee9ee7eac8863c31c76163a0cc90d14fadbc298dd594eae7898`
MD5	`b4be749075e64e217f9e686696d6b928`
BLAKE2b-256	`95120641e3fbf13d6df833c793e839c74f1b40967479d65a5cf75a0d668b01e1`