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-0.3.133.tar.gz (26.9 kB view details)

Uploaded Source

Built Distribution

gpforecaster-0.3.133-py3-none-any.whl (34.6 kB view details)

Uploaded Python 3

File details

Details for the file gpforecaster-0.3.133.tar.gz.

File metadata

  • Download URL: gpforecaster-0.3.133.tar.gz
  • Upload date:
  • Size: 26.9 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.9.18

File hashes

Hashes for gpforecaster-0.3.133.tar.gz
Algorithm Hash digest
SHA256 184c085e26eeab0d142dd53b63c0c229fae4567094fa4ea7a649c1754e2a71f0
MD5 8a7f0ada091203a92a1fde9a169ff4d4
BLAKE2b-256 1750bf0240c2be7a23e71a0c02291d3979be26e1ab17158251115c3b388f8c16

See more details on using hashes here.

File details

Details for the file gpforecaster-0.3.133-py3-none-any.whl.

File metadata

File hashes

Hashes for gpforecaster-0.3.133-py3-none-any.whl
Algorithm Hash digest
SHA256 99b979eab51f40f7172acfd69cd9d8e0d5702e0aa65228db669d1b9ca93d12dc
MD5 86382ee93805636f2d86b25c30e001de
BLAKE2b-256 3e71613edcf03f262f192eb6197435638746bd0a4a8508be5292a29d92cfa0a1

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