Hierarchical time series forecasting model using Gaussian Processes
Project description
A package that allows you to forecast time series datasets with some type of hierarchical structure. The algorithm is implementedusing PyTorch
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
gpforecaster-0.3.121.tar.gz
(25.0 kB
view details)
Built Distribution
File details
Details for the file gpforecaster-0.3.121.tar.gz
.
File metadata
- Download URL: gpforecaster-0.3.121.tar.gz
- Upload date:
- Size: 25.0 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.2 CPython/3.9.17
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | a493f9b3f625cb54815acc93cbbf5017bf38f712def5816caf3a1d705edb8b46 |
|
MD5 | 4f67b5ff7b7822b2948be939429cf5e1 |
|
BLAKE2b-256 | 522f7031ef1b5950e4596acd58fd23979c1fd0c2c30a08059af3fe851ed1f54f |
File details
Details for the file gpforecaster-0.3.121-py3-none-any.whl
.
File metadata
- Download URL: gpforecaster-0.3.121-py3-none-any.whl
- Upload date:
- Size: 32.5 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.2 CPython/3.9.17
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 67102ae5aab4c0faf37f2f96377dc1f627f05fbef2f8ea5b8fa53c6422164e7b |
|
MD5 | cd036a36436f9d5d1679825e2bb475e2 |
|
BLAKE2b-256 | f1ce75c254112e86bc8d04db4d0cc0826792bc0ce2563eaecf5e4831ee6fe0c5 |