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-0.3.107.tar.gz (23.5 kB view details)

Uploaded Source

Built Distribution

gpforecaster-0.3.107-py3-none-any.whl (31.4 kB view details)

Uploaded Python 3

File details

Details for the file gpforecaster-0.3.107.tar.gz.

File metadata

  • Download URL: gpforecaster-0.3.107.tar.gz
  • Upload date:
  • Size: 23.5 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.9.17

File hashes

Hashes for gpforecaster-0.3.107.tar.gz
Algorithm Hash digest
SHA256 93fd2c9ba8d4a0fc28b81a8f1b9aaf91bc6f08a0b0696e963c9d4d947d9bb7e4
MD5 c46d60160bc53f29fcd15de8a6e76eeb
BLAKE2b-256 b4e6e6f7bdf40fd9709e4339fc86e83029b8350b4271fa1f05d4a8dfc6ebef64

See more details on using hashes here.

File details

Details for the file gpforecaster-0.3.107-py3-none-any.whl.

File metadata

File hashes

Hashes for gpforecaster-0.3.107-py3-none-any.whl
Algorithm Hash digest
SHA256 7da3ee3badcc56526078db8e6c44af4c95244b4ff87501ac3a1c8b32fd417b16
MD5 edcc9e76514e860c9d6f5edf5dc98cee
BLAKE2b-256 ed87985bcb19c008ec73eee87a024fcb7242a2de84be82f45b8bc02427bba4d3

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