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-0.3.1.tar.gz (9.1 kB view details)

Uploaded Source

Built Distribution

gpforecaster-0.3.1-py3-none-any.whl (12.1 kB view details)

Uploaded Python 3

File details

Details for the file gpforecaster-0.3.1.tar.gz.

File metadata

  • Download URL: gpforecaster-0.3.1.tar.gz
  • Upload date:
  • Size: 9.1 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.11.0

File hashes

Hashes for gpforecaster-0.3.1.tar.gz
Algorithm Hash digest
SHA256 352054a15ff40bfafd66f76cc147e10168d339a5968da97ee73ad887fc2fd675
MD5 cceebaeb2bc8a47574cc389931cc4746
BLAKE2b-256 e11f14335e819b664fbe354268f7a03459071fb4216b6faed30dc401fd6392f0

See more details on using hashes here.

File details

Details for the file gpforecaster-0.3.1-py3-none-any.whl.

File metadata

  • Download URL: gpforecaster-0.3.1-py3-none-any.whl
  • Upload date:
  • Size: 12.1 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.11.0

File hashes

Hashes for gpforecaster-0.3.1-py3-none-any.whl
Algorithm Hash digest
SHA256 643d00fb228f99b05cb49a8161297e21fe0ba0ede934f9cb1eff5894a66b4220
MD5 e88eca96f1059762a1dafe9331e4931c
BLAKE2b-256 46120080f4857b1c8d3e07c2a863d807218b9253507a5bd57cee821254472b29

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