Spatio-temporal prediction package
Project description
stpredict package is designed to perform forecasting on spatio-temporal data.
Installation
pip install stpredict
Acknowledgements
We would thanks Dr. Zeinab Maleki and Dr. Pouria Ramazi for supervising this project. We also like to acknowledge the assistance of Nasrin Rafiei for development of the package.
Project details
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
stpredict-0.0.4.tar.gz
(75.2 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
stpredict-0.0.4-py3-none-any.whl
(86.7 kB
view details)
File details
Details for the file stpredict-0.0.4.tar.gz.
File metadata
- Download URL: stpredict-0.0.4.tar.gz
- Upload date:
- Size: 75.2 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.4.2 importlib_metadata/4.6.1 pkginfo/1.7.1 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.60.0 CPython/3.9.5
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
da80a6f6ceca96a779863f39473c5c5b57c339e47bd11d4c9e6df9a2e0d90a4a
|
|
| MD5 |
3a3d9867304e97b7f249fec6d4de13f0
|
|
| BLAKE2b-256 |
c21c1cdc9e31f854d50e07ed6b28bf2ed5285ebdbf86cbd1911803da9d0e1d5b
|
File details
Details for the file stpredict-0.0.4-py3-none-any.whl.
File metadata
- Download URL: stpredict-0.0.4-py3-none-any.whl
- Upload date:
- Size: 86.7 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.4.2 importlib_metadata/4.6.1 pkginfo/1.7.1 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.60.0 CPython/3.9.5
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
d9a99eb1c94cd7cd83bdac1d08a17463c7625139850830b90bd376dd292ecd85
|
|
| MD5 |
4971bc503fdb5b5fd217142e1f31b12d
|
|
| BLAKE2b-256 |
8fb251321d5289b4e1113ff7138a94f979ac446328371f062d0385ab5258711c
|