parallelized univariate time series forecasting library for python
Project description
This package is provides a python wrapper around other time series analysis libraries such as the forecast package in R and the Prophet library. This new layer of abstraction makes it very simple to put many different types of univariate time series models into production by using Dask as the parallelization layer
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
magi-0.0.3.tar.gz
(10.1 kB
view details)
File details
Details for the file magi-0.0.3.tar.gz.
File metadata
- Download URL: magi-0.0.3.tar.gz
- Upload date:
- Size: 10.1 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | 085a8bb8146919750856bdc9712c111e5f608a04f6f68135e4b780c1f893437a |
|
| MD5 | 1aaa919a21a7746a3fe08c2e2330522f |
|
| BLAKE2b-256 | 9315d225fc0af609c60717200e4cd27324d94251932d681e5fde045ac54f3950 |
