gnip-trend-detection

Trend/spike detection on time series from Twitter

Project description

UNKNOWN

This version

0.6

Oct 2, 2017

0.5

Feb 28, 2017

0.4

Feb 1, 2017

0.3

Nov 15, 2016

0.2

Sep 20, 2016

0.1

Sep 16, 2016

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

Uploaded Oct 2, 2017 Source

Uploaded Oct 2, 2017 Python 3

Hashes for gnip_trend_detection-0.6.tar.gz
Algorithm	Hash digest
SHA256	`11c76929baddaaa8cdef2b5a9c1941d5e55bf17a4ea0934a924c2fb2641823d5`
MD5	`91a9d6c45c67b7976fc89bf341a8afdf`
BLAKE2b-256	`7c2960eb841db991fb70141363598b568bb1c0896308c18c9d121f2886ed6f97`

Hashes for gnip_trend_detection-0.6-py3-none-any.whl
Algorithm	Hash digest
SHA256	`13a72e254c97496c59e8a171111470b798b18b1d2a15013d0d1ce778ee772961`
MD5	`c4eeffdc163bdcef438dac36f6e36dfb`
BLAKE2b-256	`2fa07ed27d57af9d3a30eaf8d47dccd7bdbfbc97c3fee7f410072481578bc33c`