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-0.3.75.tar.gz (21.1 kB view details)

Uploaded Source

Built Distribution

gpforecaster-0.3.75-py3-none-any.whl (27.5 kB view details)

Uploaded Python 3

File details

Details for the file gpforecaster-0.3.75.tar.gz.

File metadata

  • Download URL: gpforecaster-0.3.75.tar.gz
  • Upload date:
  • Size: 21.1 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.9.16

File hashes

Hashes for gpforecaster-0.3.75.tar.gz
Algorithm Hash digest
SHA256 459faea81c7c016a4aba13c0ae7641612a7705da3a66545ac07b854badcb209a
MD5 87a40fb31639ba4489da214b5a9ff952
BLAKE2b-256 c05f98bcd60c68e5dcafa9ad0cea3fa102626bb92ae9399fa6ddf19b041f5811

See more details on using hashes here.

File details

Details for the file gpforecaster-0.3.75-py3-none-any.whl.

File metadata

File hashes

Hashes for gpforecaster-0.3.75-py3-none-any.whl
Algorithm Hash digest
SHA256 5b70e4032dd9caf48cbf27513ab94b6b0ad1278c5dc2b49d4524d3946347a13c
MD5 d9c773c41007ea14fb9dffd467bc9035
BLAKE2b-256 4690bd79eba25890f82be7904ce1e3ebc02a8ba762ae9f83f6fc6c0c60f7a28c

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