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-0.3.104.tar.gz
(23.4 kB
view details)
Built Distribution
File details
Details for the file gpforecaster-0.3.104.tar.gz
.
File metadata
- Download URL: gpforecaster-0.3.104.tar.gz
- Upload date:
- Size: 23.4 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.2 CPython/3.9.17
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 57ffb20198df351189e723fac1f00a4882b99af31e358514db0bda85f117de06 |
|
MD5 | 691cb0b868ae6848c3a6065db61015e9 |
|
BLAKE2b-256 | 16a48b0da1d3088aa2aaf944fc4776e6644c5f6191b972addbaa940a7f5d6702 |
File details
Details for the file gpforecaster-0.3.104-py3-none-any.whl
.
File metadata
- Download URL: gpforecaster-0.3.104-py3-none-any.whl
- Upload date:
- Size: 30.8 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 | cc57169536c931daa96533e09fc1c12111aceaefd08fe6916b3a7f4c5a31a300 |
|
MD5 | d5cb8e44232fedab054ac8596ed0e749 |
|
BLAKE2b-256 | 245611dbcd987e834d31164ac1aab79969c7cfdeea54cec59a969737fe407224 |