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-0.2.3.tar.gz (8.3 kB view details)

Uploaded Source

Built Distribution

gpforecaster-0.2.3-py3-none-any.whl (11.0 kB view details)

Uploaded Python 3

File details

Details for the file gpforecaster-0.2.3.tar.gz.

File metadata

  • Download URL: gpforecaster-0.2.3.tar.gz
  • Upload date:
  • Size: 8.3 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.0 CPython/3.10.4

File hashes

Hashes for gpforecaster-0.2.3.tar.gz
Algorithm Hash digest
SHA256 6cf02912d16e105d2b99297c961c185231c83d2e02d5599dd99ef3732daf3dc4
MD5 b9bf443a891e5ad587828043ded6ae91
BLAKE2b-256 a5678e037a536abd12bea2e11f60429a2021cec31634a5a77c6af101ac99a2f8

See more details on using hashes here.

File details

Details for the file gpforecaster-0.2.3-py3-none-any.whl.

File metadata

  • Download URL: gpforecaster-0.2.3-py3-none-any.whl
  • Upload date:
  • Size: 11.0 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.0 CPython/3.10.4

File hashes

Hashes for gpforecaster-0.2.3-py3-none-any.whl
Algorithm Hash digest
SHA256 f4ad6fc1a08f133930a411dfd0e83116503062a120af7b6fe60b01802c4e048d
MD5 3099baacba9bf9f8e4fc25ccd3922ee6
BLAKE2b-256 11be54691a7f1f29463f2f4563680af0ed4f8d0cd9230557879b356496d468af

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