brock
brock

Reputation: 181

Online time series algorithms implemented in R/python/MOA

I am looking for implemented online learning time series algorithms. Does R, Python, MOA or any other tools have these kind of algorithms implemented?

TIA!

Upvotes: 3

Views: 312

Answers (1)

onofricamila
onofricamila

Reputation: 1089

It's a little bit late, but in case someone is looking for the answer, I will share what I know:

PYTHON: sklearn clustering algorithms. MiniBatchKMeans and Birch: both algorithm implementations have a partial_fit method allowing you to stream data through them in incremental updates (allowing online learning).

JAVA: MOA framework. There are a lot of well known stream clustering algorithms implemented (CluStream, DenStream, etc ...). You can use it via:

See the 'downloads' section in the MOA web, or check directly the source code on Github.

R: streamMOA: a R package that acts as a wrapper for the MOA [Java] classes. See the manual.

Upvotes: 0

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