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-0.3.78.tar.gz (21.1 kB view details)

Uploaded Source

Built Distribution

gpforecaster-0.3.78-py3-none-any.whl (27.5 kB view details)

Uploaded Python 3

File details

Details for the file gpforecaster-0.3.78.tar.gz.

File metadata

  • Download URL: gpforecaster-0.3.78.tar.gz
  • Upload date:
  • Size: 21.1 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.9.17

File hashes

Hashes for gpforecaster-0.3.78.tar.gz
Algorithm Hash digest
SHA256 ae475a88aca4cbe92719dc562d63de0e829d5886eb13811acd6b85d95ecf17ca
MD5 04da1774a6c6473cf54d41e5bd6fa141
BLAKE2b-256 4c230f6467a7f7247266a298a3d866719be49b6d94d2140095262d22254657e7

See more details on using hashes here.

File details

Details for the file gpforecaster-0.3.78-py3-none-any.whl.

File metadata

File hashes

Hashes for gpforecaster-0.3.78-py3-none-any.whl
Algorithm Hash digest
SHA256 26bae361265453d1dd1b52153fcc724c9cd03882deedaf7c7d2d2bbd360c3d49
MD5 c3c34592ecbd377666ca6735479e729d
BLAKE2b-256 52d346d9b9f18457f4ff68f0f2bb0569529e27bf51f51b5e7d290621c2527f24

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