Skip to main content

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-0.3.30.tar.gz (16.0 kB view details)

Uploaded Source

Built Distribution

gpforecaster-0.3.30-py3-none-any.whl (23.1 kB view details)

Uploaded Python 3

File details

Details for the file gpforecaster-0.3.30.tar.gz.

File metadata

  • Download URL: gpforecaster-0.3.30.tar.gz
  • Upload date:
  • Size: 16.0 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.11.1

File hashes

Hashes for gpforecaster-0.3.30.tar.gz
Algorithm Hash digest
SHA256 bef5777f9b14b3ea9f565c50b3f6c8efcf2bb838b3589048413993365e93fb3b
MD5 02183a48399ccec684acfc25a418efcd
BLAKE2b-256 a0c16569f9e9bce9f5575b258254ec9d8e5b5b6610e6b2b9fd74ca91b6b8b557

See more details on using hashes here.

File details

Details for the file gpforecaster-0.3.30-py3-none-any.whl.

File metadata

File hashes

Hashes for gpforecaster-0.3.30-py3-none-any.whl
Algorithm Hash digest
SHA256 3ce2c87f94b43eaf8a86a482603872f4bad181e58eec7cc55655f84cc1d3e45c
MD5 b848ba2c90d373b01707dd1e1eca88e7
BLAKE2b-256 d4349dd8031e7cd8aacdb14fd17bd4105934896b9739343c058226cf2be90b03

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page