bbknn

Batch balanced KNN

Project description

The author of this package has not provided a project description

Project details

Release history Release notifications | RSS feed

1.6.0

Jul 12, 2023

1.5.1

Jun 2, 2021

1.5.0

Jun 2, 2021

1.4.1

Mar 22, 2021

1.4.0

Jan 18, 2021

1.3.12

Jun 9, 2020

1.3.11

Jun 8, 2020

1.3.10

Jun 8, 2020

1.3.9

Mar 5, 2020

1.3.8

Feb 17, 2020

1.3.7

Jan 27, 2020

1.3.6

Aug 22, 2019

1.3.5

Jul 29, 2019

1.3.4

Jun 6, 2019

1.3.3

May 28, 2019

1.3.2

May 8, 2019

1.3.1

Nov 29, 2018

1.3.0

Nov 27, 2018

This version

1.2.0

Aug 23, 2018

1.1.0

Aug 16, 2018

1.0.0

Jul 19, 2018

Download files

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

Source Distribution

bbknn-1.2.0.tar.gz (7.4 kB view details)

Uploaded Aug 23, 2018 Source

Built Distribution

bbknn-1.2.0-py3-none-any.whl (5.8 kB view details)

Uploaded Aug 23, 2018 Python 3

File details

Details for the file bbknn-1.2.0.tar.gz.

File metadata

Download URL: bbknn-1.2.0.tar.gz
Upload date: Aug 23, 2018
Size: 7.4 kB
Tags: Source
Uploaded using Trusted Publishing? No
Uploaded via: twine/1.11.0 pkginfo/1.4.2 requests/2.19.1 setuptools/40.0.0 requests-toolbelt/0.8.0 tqdm/4.19.4 CPython/3.5.4

File hashes

Hashes for bbknn-1.2.0.tar.gz
Algorithm	Hash digest
SHA256	`96bb5d52ee332538e085f8a30086d10f817011ecafd618faf2903a83d05518cf`
MD5	`d3dbbf77bc6c022c7fe4b19a8d6ac3b4`
BLAKE2b-256	`aecaf46b47bdc4251cc05a6db9ac3886f63bd72459b94647728cc81562708835`

See more details on using hashes here.

File details

Details for the file bbknn-1.2.0-py3-none-any.whl.

File metadata

Download URL: bbknn-1.2.0-py3-none-any.whl
Upload date: Aug 23, 2018
Size: 5.8 kB
Tags: Python 3
Uploaded using Trusted Publishing? No
Uploaded via: twine/1.11.0 pkginfo/1.4.2 requests/2.19.1 setuptools/40.0.0 requests-toolbelt/0.8.0 tqdm/4.19.4 CPython/3.5.4

File hashes

Hashes for bbknn-1.2.0-py3-none-any.whl
Algorithm	Hash digest
SHA256	`b90a37b0edce6946d899c4ef5b8046076025d68227b1878fcbb080451e4863bb`
MD5	`961a2d64e7c7de931ff0273af03855a8`
BLAKE2b-256	`14ff0a4c7bee7845049060bae478447167d369ef83724f4d111e27430d8dc4b9`