Forecasting algorithms for hierarchical time series
Project description
A package that includes methods to forecast hierarchical time series forecasting
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
htsmodels-0.3.28.tar.gz
(18.7 kB
view details)
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file htsmodels-0.3.28.tar.gz.
File metadata
- Download URL: htsmodels-0.3.28.tar.gz
- Upload date:
- Size: 18.7 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.2 CPython/3.9.18
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
024c207534a700f3af786a513e1140d01a4485c3f73bffa35ff62856293c9dad
|
|
| MD5 |
96dc55b38f0e783d3a2f72a1174ef862
|
|
| BLAKE2b-256 |
829393aff766ee1a0866f4278084fdb0268c2cf0bf82afe12f74327d0343fd69
|
File details
Details for the file htsmodels-0.3.28-py3-none-any.whl.
File metadata
- Download URL: htsmodels-0.3.28-py3-none-any.whl
- Upload date:
- Size: 28.2 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.2 CPython/3.9.18
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
b9168a10798048a0d08e0749f88db636e1abedf9e95a7f5e8e0c0316a21c509f
|
|
| MD5 |
5c02aef474f3bc6ce1fe667624c4c015
|
|
| BLAKE2b-256 |
eaa5bfae03c0641741f81ac7bfa551e7df26be44207821d745c4ef8df8c7daa4
|
